The Japanese Journal of Ergonomics
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Years of issue
2024
journal names
The Japanese Journal of Ergonomics
Top-3 citing journals
The Japanese Journal of Ergonomics
(559 citations)

Lecture Notes in Computer Science
(94 citations)

Ergonomics
(58 citations)
Top-3 organizations

Waseda University
(559 publications)

Keio University
(407 publications)

Nihon University
(404 publications)

Waseda University
(66 publications)

Shibaura Institute of Technology
(49 publications)

Tokyo Metropolitan University
(42 publications)
Top-3 countries
Most cited in 5 years
Found
Publications found: 7569
Q2

Mass Spectrometry–Based Proteomics in Clinical Diagnosis of Amyloidosis and Multiple Myeloma: A Review (2012–2024)
Kratka K., Sistik P., Olivkova I., Kusnierova P., Svagera Z., Stejskal D.
ABSTRACTProteomics is nowadays increasingly becoming part of the routine clinical practice of diagnostic laboratories, especially due to the advent of advanced mass spectrometry techniques. This review focuses on the application of proteomic analysis in the identification of pathological conditions in a hospital setting, with a particular focus on the analysis of protein biomarkers. In particular, the main purpose of the review is to highlight the challenges associated with the identification of specific disease‐causing proteins, given their complex nature and the variety of posttranslational modifications (PTMs) they can undergo. PTMs, such as phosphorylation and glycosylation, play critical roles in protein function but can also lead to diseases if dysregulated. Proteomics plays an important role especially in various medical fields ranging from cardiology, internal medicine to hemato‐oncology emphasizing the interdisciplinary nature of this field. Traditional methods such as electrophoretic or immunochemical methods have been mainstay in protein detection; however, these techniques are limited in terms of specificity and sensitivity. Examples include the diagnosis of multiple myeloma and the detection of its specific protein or amyloidosis, which relies heavily on these conventional methods, which sometimes lead to false positives or inadequate disease monitoring. Mass spectrometry in this respect emerges as a superior alternative, providing high sensitivity and specificity in the detection and quantification of specific protein sequences. This technique is particularly beneficial for monitoring minimal residual disease (MRD) in the diagnosis of multiple myeloma where traditional methods fall short. Furthermore mass spectrometry can provide precise typing of amyloid proteins, which is crucial for the appropriate treatment of amyloidosis. This review summarizes the opportunities for proteomic determination using mass spectrometry between 2012 and 2024, highlighting the transformative potential of mass spectrometry in clinical proteomics and encouraging its wider use in diagnostic laboratories.
Q2

Comparison of Mid‐Infrared and Ultraviolet Lasers Coupled to the MALDESI Source for the Detection of Secondary Metabolites and Structural Lipids in Arabidopsis thaliana
Ashbacher S., Manni J., Muddiman D.
ABSTRACTMatrix‐assisted laser desorption electrospray ionization (MALDESI) conventionally utilizes a mid‐infrared (IR) laser for the desorption of neutrals, allowing for detection of hundreds to thousands of analytes simultaneously. This platform enables mass spectrometry imaging (MSI) capabilities to not only detect specific molecules but also reveal the distribution and localization of a wide range of biomolecules across an organism. However, an IR laser comes with its disadvantages when imaging plants. At a mid‐IR wavelength (2970 nm), the compartmentalized endogenous water within the leaf structure acts as an internal matrix, causing rapid heating, and, in turn, degrades the spatial resolution and signal quality. An ultraviolet (UV) laser operates at wavelengths that overlap with the absorption bands of secondary metabolites allowing them to serve as sacrificial matrix molecules. With the integration and optimization of a 355 nm UV laser into the MALDESI‐MSI NextGen source for the analysis of plants, we were able to detect diverse molecular classes including flavonoids, fatty acid derivatives, galactolipids, and glucosinolates, at higher ion abundances when compared to the mid‐IR laser. These results show that re‐visiting UV‐MALDESI‐MSI, without the need for an exogenous matrix, provides a promising approach for the detection and imaging of important analytes in plants.
Q2

Minimizing Variable Downhole Fractionation in U–Pb Zircon Geochronology by LA‐MC‐ICP‐MS at Smaller Spot Size
Singhal S., Singh S., Singh D.
ABSTRACTThe development of LA‐ICPMS and LA‐MC‐ICPMS resulted in analytical methods for zircon geochronology using a 20‐ to 60‐μm laser spot size. A high amount of complexly zoned zircons promotes the requirement of U–Pb dating at smaller spot sizes. When spot size reduces, downhole fractionation (DHF) increases, increasing the DHF discrepancy between zircon grains and the primary reference zircon standard and resulting in inaccurate results. With MC‐ICPMS's high sensitivity and multi‐collector capabilities, this work attempts to accurately determine age with spatial resolutions below 20 μm. Three well‐characterized zircon standards (91500, GJ‐1, and Plešovice) were tested at spot sizes of 35, 20, 15, and 10 μm. Laser and mass spectrometry tuning, laser shot count, and ablation time have been optimized to reduce the DHF effect on measurement accuracy. Static ablation of 35‐ to 15‐μm spots with 150 laser shot counts (30 s) yielded precision of less than 1.5% and age offset of less than 2%. The DHF differs significantly from the reference standard and two test zircon samples used for validation, with an age offset of 4% at 10‐μm spot sizes. Masking shot counts from the end enhanced accuracy, notably for lower laser shot counts and shorter ablation times. At 75 laser shot counts, precision reached 1.4% and age offsets reduced to 1.6% for 206Pb/238U age. This method minimizes laser shot counts to avoid sampling two age groups. Higher zircon DHF variability at smaller spot sizes may influence a well‐calibrated, sensitive LA‐MC‐ICP‐MS analytical figure of merit.
Q2

CID‐Induced Formation of Deprotonated Cyclic Peptide Ions From Anionic Adducts
Modzel M., Stefanowicz P.
ABSTRACTMS analysis of cyclic peptides in negative ion mode has been a challenge, in particular if the peptide does not contain acidic functional groups. In this paper, we present a way to easily produce negative ions from anionic peptide adducts, utilising collision‐induced dissociation (CID)‐mediated elimination. Using two different mass spectrometers, we have generated series of adducts of three cyclic and one linear peptide with various anions. They were then isolated and subjected to CID with a range of collision energies. The deprotonation percentage was then calculated from the resultant spectrum, and compared between the spectrometers, as well as with an external reference—proton affinity values. The susceptibility to deprotonate by detaching a HX moiety is proportional to the proton affinity of the X− species. Also, the linear peptide deprotonated more readily than the cyclic ones. On the other hand, lack of amino or acidic groups resulted in higher collision voltage (CV) necessary for the formation of deprotonated species. Moreover, the exact propensity for neutral loss depends on the ion temperature, which differs between mass spectrometers. We have developed a facile method for generating peptide anions for MS analysis of cyclic peptides, which works even if the peptide in question does not have easily ionisable groups. The deprotonated species generated in this way can be fragmented again in order to identify the peptide.
Q2

Mechanistic Insights Into the Dissociative Photoionization Pathways of Ethyl Propionate: A Combined Experimental and Theoretical Approach
Wang H., Shan X., Liu F., Wang Z., Sheng L., Sui R.
ABSTRACTEthyl propionate (C5H10O2, EP) has been extensively studied in the fields of biofuels and atmospheric chemistry. However, its vacuum ultraviolet (VUV) photoionization has not been investigated. This study examines the photoionization process of EP using tunable VUV synchrotron radiation, coupled with a reflectron time‐of‐flight mass spectrometer. This method yielded the photoionization mass spectrum of EP and photoionization efficiency (PIE) spectra of 10 identified fragment ions (i.e., C4H7O2+., C3H7O2+., C3H6O2+., C3H5O2+., C3H6O+., C3H5O+., C3H4O+., C2H5O+., C2H5+., and C2H4+.). The results, interpreted with the aid of high‐accuracy theoretical calculations, conclude possible formation mechanisms for each fragment ion. In the dissociation pathway of EP's cation, intramolecular hydrogen shifts and bond cleavage are the predominant processes. The C3H7O2+. and C2H4+. reaction channels do not arise from one‐step bond cleavage, but their reaction energy barriers are influenced by product energy, making them comparable to direct reaction channels. The active reaction sites within the molecules are elucidated using Laplacian bond order (LBO). Rate constants are calculated using RRKM theory, which confirms the kinetic factors governing the EP reaction process. This study provides a detailed understanding of the photoionization and dissociation of the main ions of EP within the 9.35–15.50 eV photon energy range.
Q2

Zn(II) Affinity and Structural Conformations of 2His‐2Cys Zinc Finger‐Like Motif Peptide Determined by Ion Mobility–Mass Spectrometry and PM6 Molecular Modeling
Adomako R., Owusu M., Oberdick R., Senyah K., Asare P., Spezia R., Angel L.
ABSTRACTThis study focuses on investigating the conformational structure and zinc(II) affinity of a zinc finger‐like motif (ZFM) peptide with the sequence acetyl‐His1‐Cys2‐Gly3‐Pro4‐Gly5‐His6‐Cys7, where bold highlights the potential zinc(II) binding sites. Zinc fingers are crucial protein motifs known for their high specificity and affinity for zinc ions. The ZFM peptide's sequence contains the 2His‐2Cys zinc‐binding sites similar to those in natural zinc finger proteins but without the hydrophobic core, making it a valuable model for studying zinc(II)–peptide interactions. Previous research on related peptides showed that collision cross sections and B3LYP modeling predicted that the His‐2Cys‐carboxyl terminus coordination of zinc(II) was more stable than the 2His‐2Cys. Employing a comprehensive approach integrating ion mobility–mass spectrometry and theoretical modeling techniques, various zinc(II) binding modes of the ZFM have been thoroughly compared to ascertain their influence on the competitive threshold collision‐induced dissociation method for measuring the relative gas‐phase Zn(II) affinity of the ZFM peptide. The measured Zn(II) affinity of ZFM is greater than those measured recently for two peptides with similar primary structures, acetyl‐His1‐Cys2‐Gly3‐Pro4‐Gly5‐Gly6‐Cys7 and acetyl‐Asp1‐His2‐Gly3‐Pro4‐Gly5‐Gly6‐Cys7, indicating the preference for the His1‐Cys2‐His6‐Cys7 side groups for coordinating zinc(II) over the His‐2Cys‐carboxyl terminus or Asp‐His‐Cys‐carboxyl terminus in these related heptapeptides.
Q2

Erratum—Integrating DFT and CI‐MS Techniques to Assess Benzophenone Derivatives in Food Packaging: Implications for Enhancing Food Quality and Safety
Bhatia M.
Q2
Journal of Mass Spectrometry
,
2025
,
citations by CoLab: 0

Q2

digitalMALDI: A Single‐Particle–Based Mass Spectrometric Detection System for Biomolecules
Chen D., Bryden W., McLoughlin M., Ecelberger S., Cornish T., Moore L., Regan K.
ABSTRACTThe development of a real‐time system for characterizing individual biomolecule‐containing aerosol particles presents a transformative opportunity to monitor respiratory conditions, including infections and lung diseases. Existing molecular assay technologies, although effective, rely on costly reagents, are relatively slow, and face challenges in multiplexing, limiting their use for real‐time applications. To overcome these challenges, we developed digitalMALDI, a laser‐based mass spectrometry system designed for single‐particle characterization. digitalMALDI operates as a near real‐time platform that directly samples aerosols, bypassing the need for complex and time‐consuming sample preparation. To demonstrate the feasibility of this approach, intact insulin protein was used as a representative target. Results showed that digitalMALDI is capable of detecting 1 pg of insulin protein in single aerosol particles, suggesting that the system has a broad application for disease diagnosis, environmental monitoring, and biosecurity management.
Q2

Feasibility of IR‐MALDESI Mass Spectrometry Imaging of PFAS
Martin A., Joignant A., Farrell M., Planchart A., Muddiman D.
ABSTRACTPerfluoroalkyl and polyfluoroalkyl substances (PFAS) are a class of emerging contaminants that have been in use industrially since the 1940s. Their long‐term and extensive commercial use has led to their ubiquitous presence in the environment. The ability to measure the bioconcentration and distribution of PFAS in the tissue of aquatic organisms helps elucidate the persistence of PFAS as well as environmental impacts. Traditional analysis by LC–MS/MS can measure total PFAS concentrations within an organism but cannot provide comprehensive spatial information regarding PFAS concentrations within the organism. In the current study, we used infrared matrix‐assisted laser desorption electrospray ionization (IR‐MALDESI) to determine the limit of detection (LOD) of several PFAS utilizing a commercial standard mix spotted on mouse liver tissue. The traditional ice matrix and an alternative matrix, 1,8‐bis (tetramethylguanidino)naphthalene (TMGN), were explored when determining the limits of detection for various PFAS by IR‐MALDESI. The ice matrix alone resulted in a higher response than the combination of TMGN and ice. The resulting LOD for perfluorooctane sulfonic acid (PFOS) on a per voxel basis was 0.16 fmol/voxel. For comparison, zebrafish that were exposed to perfluorooctanoic acid (PFOA), PFOS, and perfluorohexanesulfonic acid (PFHxS) at different concentrations were homogenized, and PFAS were extracted by solid–liquid extraction, purified by solid phase extraction, and analyzed by LC–MS/MS to determine the level of bioaccumulation in the zebrafish. PFOS resulted in the highest level of bioaccumulation (731.9 μg/kg, or 234.2 fg/voxel). A zebrafish that had been exposed to a PFAS mixture of PFOA (250 ng/L), PFOS (250 ng/L), and PFHxS (125 ng/L) was cryosectioned and analyzed by IR‐MALDESI. Images could not be generated as the accumulation of PFAS in the sectioned tissue was below detection limit of the technique.
Q2

Sodiation of Enhanced Green Fluorescent Protein (EGFP) in Basic Solution Studied by Electrospray Mass Spectrometry
Hiraoka K., Ninomiya S., Rankin‐Turner S., Suzuki N., Akashi S.
ABSTRACTIn our previous work, the sodiation of melittin, cytochrome c, and ubiquitin in a 1 mM NaOH water/methanol solution was studied by electrospray mass spectrometry. It was suggested that the α‐helix is more resistant to sodiation than the β‐sheet. In this study, sodiation of enhanced green fluorescent protein (EGFP) composed of a β‐barrel was studied in 1% CH3COOH (AcOH) or 1 mM NaOH water/methanol solution by electrospray mass spectrometry. Although EGFP was denatured in an acidic solution, it maintains a near‐native structure in a basic solution. For the 1% AcOH solution, the protonated EGFP, [EGFP + nH − mH + mNa]n+, with n = 14 − 36 and m = 0 was detected. For 1 mM NaOH, the number n for [EGFP + nH − mH + mNa]n+ was found to increase with the sodiation number m and vice versa for [EGFP + nH − mH + mNa]n−. Namely, Na+ adducts counteract the negative charges of deprotonated acidic residues. The protonated EGFP detected as major ions for basic 1 mM NaOH was ascribed to the more surface‐active H3O+(aq) than OH−(aq).
Q2

Application of Online Multi‐Internal Standard Calibration for Determination of Iodine by ICP‐MS
Zhou L., Lin X., Suo L., Ma L., Hu G., Xia X., Li M., Huang W., Jin Y.
ABSTRACTThis study presents a comprehensive evaluation of the application of online multi‐internal standard calibration (M.ISC) in determining iodine concentrations through inductively coupled plasma mass spectrometry (ICP‐MS). Notably, M.ISC streamlines the calibration process by requiring only a single standard solution, thereby enhancing sample throughput and minimizing liquid waste. In addition, unlike conventional internal standard (IS) methods, M.ISC omits the need for time‐consuming species identification by utilizing multiple IS species simultaneously to minimize signal biases. The effectiveness of M.ISC was validated through the analysis of six standard reference samples, with the results of LOD and LOQ also being calculated by the error propagation approach. The traditional chemical analytical methods (TCAM), external standard calibration (EC) and single IS methods were also evaluated as comparative purpose. Nonetheless, M.ISC emerges as a straightforward matrix‐correction strategy, offering a simple and efficient alternative to traditional calibration methods for iodine detection by ICP‐MS.
Q2

Cryogenic TOF‐SIMS Around Sublimation Temperature of Quench‐Condensed Noble Gas (Ne, Ar, and Kr) Films
Suzuki T.
ABSTRACTA possible TOF‐SIMS analysis of surface phase transitions has recently been proposed for limited cases such as polymers and ionic liquids. In the present study, we have extended this analysis to quench‐condensed noble gas films. The newly developed cryogenic TOF‐SIMS allowed both measurements of TOF‐SIMS below 4 K, and low‐energy ion scattering spectroscopy that is used to prepare a clean surface. It was found that the TOF‐SIMS intensity variation by increasing the temperature at a constant ramp rate (temperature‐programmed TOF‐SIMS) shows steep changes due to sublimation. Thus, the possibility of analyzing the surface phase transition at the local region defined by the incident ion beam of (cryogenic) TOF‐SIMS was demonstrated in the present study.
Q2

Performance Optimization of a Large Geometry High Resolution‐Secondary Ion Mass Spectrometer (HR‐SIMS) for High Precision Measurements of Oxygen Isotopic Composition (δ18O) and U–Pb Geochronology in Zircon
Khandelwal D., Kumar P., Kumar P. ., Singh A., Rawat M., Dawar A., Sharma R., Ojha S., Gargari S., Mukherjee P. ., Chopra S., Pandey A. .
ABSTRACTA large geometry high resolution secondary ion mass spectrometer (HR‐SIMS) has been established as a part of the National Geochronology Facility (NGF) at Inter‐University Accelerator Centre (IUAC), New Delhi. The performance of the instrument related to high spatial resolution, high mass resolving power (MRP), sensitivity of the instrument to measure low abundant isotopes, and sensitivity of the instrument for 206Pb signal under different conditions are optimized and presented in this paper. We report the precision of the order of ~ 0.2‰ for oxygen isotopes measurement in 91500 reference material zircon and measured δ18O value of 10.08‰ ± 0.18‰ (2SD), which is in agreement with the recommended values. For U–Pb age measurement in zircon, Plešovice and FCT reference materials are measured as unknown and their 206Pb/238U ages agree with the reported values within the uncertainties. A long‐term evaluation of 206Pb/238UO and 206Pb/238U isotopic measurement ratio is also presented.
Q2

Bothersome Back Exchange in MALDI Plume and Its Impact on Hydrogen/Deuterium Exchange Mass Spectrometry Analysis
Lou X., van Houtem M., Lafleur R. ., Schoenmakers S. ., van Dongen J. ., Palmans A. .
ABSTRACTOne critical issue in hydrogen/deuterium exchange mass spectrometry (HDX MS) analysis is the deleterious back exchange. Herein, we report that when matrix‐assisted laser desorption/ionization (MALDI) is used, the MALDI process itself can also cause significant back exchange. The back exchange occurred inside the reactive MALDI plume was investigated by depositing a fully deuterated sample prepared in D2O on top of a preloaded dried layer of matrix. A benzene‐1,3,5‐tricarboxamide (BTA) compound that can form supramolecular polymer in water and five peptides of angiotensin II (AT), pentaglycine (5G), pentaalanine (5A), cyclohexaglycine (C6G), and cyclohexaalanine (C6A) were selected as the testing compounds. Just like the situation in solution, the back exchange for the side chains and end groups is fast in the MALDI plume, while for the backbone amides, it is slow and dependent on the primary structure of the peptide. For the peptides tested, 5%–15% of D‐labels in the backbone amides can be lost during the MALDI process. This degree of back exchange, although not an unbearable problem for most HDX MS applications as 85%–95% of the informative labels would still survive, could seriously limit the use of MALDI in the HDX MS analysis of supramolecular assemblies. For these assemblies, the EX1‐like mechanism with two distinct distributions is common, and the back exchange could gravely distort or even merge the distinct isotopic distributions, which are the characteristic symbols of EX1.
Q2

Ghost Peaks of Aromatic Metabolites Induced by Corona Discharge Artifacts in LC‐ESI‐MS/MS
Hongo Y., Fukuyama D., Chen L., Sekimoto K., Watanabe H.
ABSTRACTLC‐ESI‐MS/MS is a preferred method for detecting and identifying metabolites, including those that are unpredictable from the genome, especially in basal metazoans like Cnidaria, which diverged earlier than bilaterians and whose metabolism is poorly understood. However, the unexpected appearance of a “ghost peak” for dopamine, which exhibited the same m/z value and MS/MS product ion spectrum during an analysis of Nematostella vectensis, a model cnidarian, complicated its accurate identification. Understanding the mechanism by which “ghost peaks” appear is crucial to accurately identify the monoamine repertoire in early animals so as to avoid misassignments. Verification experiments showed that in‐source oxidation of tyramine, which produced an intense signal, was responsible for this “ghost peak.” This artifact commonly occurs among aromatic compounds with high signal intensities and appears at the same m/z as their respective in vivo oxidized metabolites. In metabolomics, spectra contain diverse signals from complex biological mixtures, making it difficult to recognize artifact peaks. To prevent misassignments, despite +16 Da differences, adequate chromatographic separation of metabolites from their respective in vivo oxidation precursors is necessary. Whereas both electrolysis and gas‐phase corona discharge can cause in‐source oxidation in ESI, corona discharge proved to be the dominant factor. Additionally, the presence of multiple oxygen atom sources was suggested by the voltage‐dependent mass shift of +16 Da to +18 Da of the “ghost peak” when using 18O‐labeled water as a solvent. Accurate metabolite identification using LC‐ESI‐MS/MS requires accounting for in‐source products that can mimic in vivo products.
Top-100
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The Japanese Journal of Ergonomics
559 citations, 18.87%
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Japan Ergonomics Society
559 citations, 18.87%
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Institute of Electrical and Electronics Engineers (IEEE)
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|
Institute of Electrical Engineers of Japan (IEE Japan)
56 citations, 1.89%
|
|
Japan Society for Fuzzy Theory and Intelligent Informatics
35 citations, 1.18%
|
|
Society of Biomechanisms Japan
32 citations, 1.08%
|
|
SAE International
30 citations, 1.01%
|
|
The Society of Physical Therapy Science
29 citations, 0.98%
|
|
Japan Society of Civil Engineers
27 citations, 0.91%
|
|
MDPI
26 citations, 0.88%
|
|
Fuji Technology Press
21 citations, 0.71%
|
|
Frontiers Media S.A.
19 citations, 0.64%
|
|
National Institute of Industrial Health
17 citations, 0.57%
|
|
Association for Computing Machinery (ACM)
16 citations, 0.54%
|
|
Japan Society of Physiological Anthropology
16 citations, 0.54%
|
|
Emerald
15 citations, 0.51%
|
|
Ken-yusha, Inc.
14 citations, 0.47%
|
|
The Textile Machinery Society of Japan
14 citations, 0.47%
|
|
Japan Institute of Navigation
13 citations, 0.44%
|
|
IGI Global
11 citations, 0.37%
|
|
The City Planning Institute of Japan
11 citations, 0.37%
|
|
Hindawi Limited
10 citations, 0.34%
|
|
Acoustical Society of Japan
9 citations, 0.3%
|
|
Illuminating Engineering Society of Japan
8 citations, 0.27%
|
|
7 citations, 0.24%
|
|
Institute of Electronics, Information and Communications Engineers (IEICE)
7 citations, 0.24%
|
|
IOS Press
6 citations, 0.2%
|
|
Public Library of Science (PLoS)
6 citations, 0.2%
|
|
Japanese Society for Medical and Biological Engineering
6 citations, 0.2%
|
|
IOP Publishing
6 citations, 0.2%
|
|
6 citations, 0.2%
|
|
Social Science Electronic Publishing
6 citations, 0.2%
|
|
The Robotics Society of Japan
6 citations, 0.2%
|
|
Japan Society for Occupational Health
6 citations, 0.2%
|
|
Japanese Society of Sport Psychology
6 citations, 0.2%
|
|
National Institute of Advanced Industrial Science and Technology
5 citations, 0.17%
|
|
Scientific Research Publishing
5 citations, 0.17%
|
|
Japanese Society of Farm Work Research
5 citations, 0.17%
|
|
Japan Association on Odor Environment
5 citations, 0.17%
|
|
4 citations, 0.13%
|
|
Pharmaceutical Society of Japan
4 citations, 0.13%
|
|
4 citations, 0.13%
|
|
The Japanese Association of Rural Medicine
4 citations, 0.13%
|
|
Japan Society of Physical Education, Health and Sport Sciences
4 citations, 0.13%
|
|
The Japanese Society of Revegetation Technology
4 citations, 0.13%
|
|
Cambridge University Press
3 citations, 0.1%
|
|
Walter de Gruyter
3 citations, 0.1%
|
|
Trans Tech Publications
3 citations, 0.1%
|
|
Korean Institute of Industrial Engineers
3 citations, 0.1%
|
|
Kurume University School of Medicine
3 citations, 0.1%
|
|
Japanese Society for Hygiene
3 citations, 0.1%
|
|
Research Institute of Signal Processing, Japan
3 citations, 0.1%
|
|
The Japanese Psychological Association
3 citations, 0.1%
|
|
The Japanese Society of Physical Fitness and Sports Medicine
3 citations, 0.1%
|
|
Japanese Institute of Landscape Architecture
3 citations, 0.1%
|
|
Japanese Association of Occupational Therapists
3 citations, 0.1%
|
|
Japanese Association of Forensic Science and Technology
3 citations, 0.1%
|
|
Japan Society of Health Promotion and Physical Therapy
3 citations, 0.1%
|
|
Japanese Society for Engineering Education
3 citations, 0.1%
|
|
Japan Academy of Nursing Science
3 citations, 0.1%
|
|
Atomic Energy Society of Japan
3 citations, 0.1%
|
|
EDP Sciences
2 citations, 0.07%
|
|
Institution of Engineering and Technology (IET)
2 citations, 0.07%
|
|
AIP Publishing
2 citations, 0.07%
|
|
Japan Society of Applied Physics
2 citations, 0.07%
|
|
Japan Institute of Metals
2 citations, 0.07%
|
|
International Research and Cooperation Association for Bio & Socio-Sciences Advancement (IRCA-BSSA)
2 citations, 0.07%
|
|
Behaviormetric Society of Japan
2 citations, 0.07%
|
|
International Society for Horticultural Science (ISHS)
2 citations, 0.07%
|
|
2 citations, 0.07%
|
|
Korean Institute of Electrical Engineers
2 citations, 0.07%
|
|
Korea Soc of Automotive Engineers, Inc
2 citations, 0.07%
|
|
Institute of Chemical Fibres
2 citations, 0.07%
|
|
Korean Society of Clothing and Textiles
2 citations, 0.07%
|
|
Fundacao APINCO de Ciencia e Technologia Avicolas
2 citations, 0.07%
|
|
2 citations, 0.07%
|
|
Japan Society of Logopedics and Phoniatrics
2 citations, 0.07%
|
|
2 citations, 0.07%
|
|
The Surface Finishing Society of Japan
2 citations, 0.07%
|
|
Society of Advanced Science
2 citations, 0.07%
|
|
American Society of Civil Engineers (ASCE)
2 citations, 0.07%
|
|
Japanese Society for Food Science and Technology
2 citations, 0.07%
|
|
JMIR Publications
2 citations, 0.07%
|
|
Japanese Society of Medical Instrumentation
2 citations, 0.07%
|
|
The Japanese Society of Periodontology
2 citations, 0.07%
|
|
Japanese Society of Radiological Technology
2 citations, 0.07%
|
|
The Korean Society for Clothing Industry
2 citations, 0.07%
|
|
Japan Wood Society
2 citations, 0.07%
|
|
The Japanese Association for the Integrated Study of Dietary Habits
2 citations, 0.07%
|
|
The Ergonomics Society of Korea
2 citations, 0.07%
|
|
The Society of Materials Science, Japan
2 citations, 0.07%
|
|
The Japan Society for Precision Engineering
2 citations, 0.07%
|
|
Japanese Society of Pharmaceutical Health Care and Sciences
2 citations, 0.07%
|
|
Show all (70 more) | |
100
200
300
400
500
600
|
Publishing organizations
100
200
300
400
500
600
|
|
Waseda University
559 publications, 5.01%
|
|
Keio University
407 publications, 3.65%
|
|
Nihon University
404 publications, 3.62%
|
|
University of Occupational and Environmental Health Japan
210 publications, 1.88%
|
|
University of Tokyo
190 publications, 1.7%
|
|
Tokyo Metropolitan University
164 publications, 1.47%
|
|
Railway Technical Research Institute
148 publications, 1.33%
|
|
Kanagawa University
137 publications, 1.23%
|
|
Shibaura Institute of Technology
134 publications, 1.2%
|
|
Tokai University
125 publications, 1.12%
|
|
Tokyo Denki University
117 publications, 1.05%
|
|
Kyushu University
117 publications, 1.05%
|
|
Nagoya City University
112 publications, 1%
|
|
Tohoku University
110 publications, 0.99%
|
|
Aoyama Gakuin University
106 publications, 0.95%
|
|
National Institute of Advanced Industrial Science and Technology
105 publications, 0.94%
|
|
Chiba University
105 publications, 0.94%
|
|
Hiroshima University
98 publications, 0.88%
|
|
Seikei University
88 publications, 0.79%
|
|
Nagoya University
85 publications, 0.76%
|
|
Kanazawa Institute of Technology
85 publications, 0.76%
|
|
Wakayama University
80 publications, 0.72%
|
|
Osaka University
79 publications, 0.71%
|
|
Meijo University
79 publications, 0.71%
|
|
Kansai University
79 publications, 0.71%
|
|
Tokyo Institute of Technology
76 publications, 0.68%
|
|
Hokkaido University
73 publications, 0.65%
|
|
Osaka Metropolitan University
66 publications, 0.59%
|
|
Hosei University
65 publications, 0.58%
|
|
Osaka Institute of Technology
65 publications, 0.58%
|
|
University of Electro-Communications
64 publications, 0.57%
|
|
Nippon Electric Company
63 publications, 0.56%
|
|
Nagaoka University of Technology
63 publications, 0.56%
|
|
Hiroshima City University
62 publications, 0.56%
|
|
Kyoto Institute of Technology
58 publications, 0.52%
|
|
Fujitsu Limited
57 publications, 0.51%
|
|
Chiba Institute of Technology
54 publications, 0.48%
|
|
Kobe University
51 publications, 0.46%
|
|
Kanagawa Institute of Technology
51 publications, 0.46%
|
|
Okayama University
48 publications, 0.43%
|
|
Kyoto University
47 publications, 0.42%
|
|
Mitsubishi Electric Corporation
47 publications, 0.42%
|
|
Yamaguchi University
45 publications, 0.4%
|
|
Rikkyo University
43 publications, 0.39%
|
|
Nara Women's University
43 publications, 0.39%
|
|
Tokyo University of Science
42 publications, 0.38%
|
|
Tamagawa University
42 publications, 0.38%
|
|
University of Tsukuba
41 publications, 0.37%
|
|
National Institute for Occupational Safety and Health
41 publications, 0.37%
|
|
Juntendo University
41 publications, 0.37%
|
|
Ritsumeikan University
41 publications, 0.37%
|
|
Mie University
40 publications, 0.36%
|
|
Shizuoka University
39 publications, 0.35%
|
|
University of Toyama
34 publications, 0.3%
|
|
Setsunan University
33 publications, 0.3%
|
|
Tokyo Medical and Dental University
32 publications, 0.29%
|
|
Musashino University
32 publications, 0.29%
|
|
Tokyo Metropolitan Institute of Gerontology
31 publications, 0.28%
|
|
Tokyo University of Technology
30 publications, 0.27%
|
|
RIKEN-Institute of Physical and Chemical Research
27 publications, 0.24%
|
|
Toshiba Corporation
27 publications, 0.24%
|
|
Toyota Motor Corporation
27 publications, 0.24%
|
|
Kindai University
26 publications, 0.23%
|
|
Teikyo University of Science
25 publications, 0.22%
|
|
Koshien University
23 publications, 0.21%
|
|
Kanazawa University
22 publications, 0.2%
|
|
Seoul National University
22 publications, 0.2%
|
|
Kagawa University
21 publications, 0.19%
|
|
Osaka Electro-Communication University
21 publications, 0.19%
|
|
Central Research Institute of Electric Power Industry
21 publications, 0.19%
|
|
Takushoku University
21 publications, 0.19%
|
|
École de Technologie Supérieure
21 publications, 0.19%
|
|
Tokyo Women's Medical University
19 publications, 0.17%
|
|
Shinshu University
19 publications, 0.17%
|
|
University of Yamanashi
19 publications, 0.17%
|
|
Kwansei Gakuin University
19 publications, 0.17%
|
|
Toyo University
19 publications, 0.17%
|
|
Korea University
18 publications, 0.16%
|
|
Japan Society for the Promotion of Science
18 publications, 0.16%
|
|
Fukuoka Institute of Technology
18 publications, 0.16%
|
|
Aichi Institute of Technology
18 publications, 0.16%
|
|
Pohang University of Science and Technology
16 publications, 0.14%
|
|
Gunma University
16 publications, 0.14%
|
|
Yamagata University
16 publications, 0.14%
|
|
Saga University
16 publications, 0.14%
|
|
Teikyo University
15 publications, 0.13%
|
|
Shiga University of Medical Science
15 publications, 0.13%
|
|
Utsunomiya University
15 publications, 0.13%
|
|
International University of Health and Welfare
14 publications, 0.13%
|
|
Hanbat National University
13 publications, 0.12%
|
|
Japan Atomic Energy Agency
13 publications, 0.12%
|
|
Jichi Medical University
13 publications, 0.12%
|
|
Ehime University
13 publications, 0.12%
|
|
Prefectural University of Hiroshima
13 publications, 0.12%
|
|
Mitsubishi Heavy Industries
13 publications, 0.12%
|
|
National Defense Academy of Japan
13 publications, 0.12%
|
|
Dongguk University
12 publications, 0.11%
|
|
Hongik University
12 publications, 0.11%
|
|
Kyorin University
12 publications, 0.11%
|
|
Kogakuin University
12 publications, 0.11%
|
|
Show all (70 more) | |
100
200
300
400
500
600
|
Publishing organizations in 5 years
10
20
30
40
50
60
70
|
|
Waseda University
66 publications, 5.6%
|
|
Shibaura Institute of Technology
49 publications, 4.16%
|
|
Tokyo Metropolitan University
42 publications, 3.57%
|
|
Nihon University
42 publications, 3.57%
|
|
Chiba University
38 publications, 3.23%
|
|
Nagoya City University
32 publications, 2.72%
|
|
Kyushu University
29 publications, 2.46%
|
|
University of Occupational and Environmental Health Japan
28 publications, 2.38%
|
|
Okayama University
26 publications, 2.21%
|
|
Osaka Institute of Technology
22 publications, 1.87%
|
|
Tokyo University of Technology
21 publications, 1.78%
|
|
Railway Technical Research Institute
21 publications, 1.78%
|
|
University of Tokyo
20 publications, 1.7%
|
|
Keio University
19 publications, 1.61%
|
|
National Institute of Advanced Industrial Science and Technology
19 publications, 1.61%
|
|
National Institute for Occupational Safety and Health
18 publications, 1.53%
|
|
RIKEN-Institute of Physical and Chemical Research
18 publications, 1.53%
|
|
Kindai University
17 publications, 1.44%
|
|
Tohoku University
16 publications, 1.36%
|
|
Osaka Metropolitan University
16 publications, 1.36%
|
|
Kanagawa University
15 publications, 1.27%
|
|
University of Electro-Communications
13 publications, 1.1%
|
|
Hosei University
13 publications, 1.1%
|
|
Tokyo Institute of Technology
12 publications, 1.02%
|
|
Nagoya University
12 publications, 1.02%
|
|
Tokai University
12 publications, 1.02%
|
|
Tokyo Denki University
11 publications, 0.93%
|
|
Osaka University
11 publications, 0.93%
|
|
Mitsubishi Electric Corporation
10 publications, 0.85%
|
|
Juntendo University
9 publications, 0.76%
|
|
Setsunan University
9 publications, 0.76%
|
|
Seikei University
9 publications, 0.76%
|
|
Hokkaido University
8 publications, 0.68%
|
|
Fujitsu Limited
8 publications, 0.68%
|
|
Aoyama Gakuin University
8 publications, 0.68%
|
|
Kookmin University
7 publications, 0.59%
|
|
Toyo University
7 publications, 0.59%
|
|
Nara Women's University
7 publications, 0.59%
|
|
Komazawa University
7 publications, 0.59%
|
|
University of Tsukuba
6 publications, 0.51%
|
|
Jichi Medical University
6 publications, 0.51%
|
|
Kanagawa Institute of Technology
6 publications, 0.51%
|
|
Nuclear Safety Institute of the Russian Academy of Sciences
5 publications, 0.42%
|
|
Kanazawa University
5 publications, 0.42%
|
|
Osaka University of Arts
5 publications, 0.42%
|
|
Japan Society for the Promotion of Science
5 publications, 0.42%
|
|
Yamaguchi University
5 publications, 0.42%
|
|
Yamagata University
5 publications, 0.42%
|
|
Mie University
5 publications, 0.42%
|
|
Saga University
5 publications, 0.42%
|
|
Tokyo University of Marine Science and Technology
5 publications, 0.42%
|
|
Jichi Medical University Hospital
5 publications, 0.42%
|
|
Mitsubishi Heavy Industries
5 publications, 0.42%
|
|
École de Technologie Supérieure
5 publications, 0.42%
|
|
Seoul National University
4 publications, 0.34%
|
|
Yokohama National University
4 publications, 0.34%
|
|
Nippon Electric Company
4 publications, 0.34%
|
|
Toshiba Corporation
4 publications, 0.34%
|
|
Tottori University
4 publications, 0.34%
|
|
Muroran Institute of Technology
4 publications, 0.34%
|
|
Kansai University
4 publications, 0.34%
|
|
Hiroshima City University
4 publications, 0.34%
|
|
University of Hyogo
4 publications, 0.34%
|
|
Central Research Institute of Electric Power Industry
4 publications, 0.34%
|
|
Fukui National College of Technology
4 publications, 0.34%
|
|
Nottingham Trent University
3 publications, 0.25%
|
|
Tokyo Medical and Dental University
3 publications, 0.25%
|
|
Hanbat National University
3 publications, 0.25%
|
|
Tohoku University of Community Service and Science
3 publications, 0.25%
|
|
Kobe University
3 publications, 0.25%
|
|
Hokkaido University of Science
3 publications, 0.25%
|
|
Ritsumeikan University
3 publications, 0.25%
|
|
International University of Health and Welfare
3 publications, 0.25%
|
|
Meijo University
3 publications, 0.25%
|
|
Kyoto Institute of Technology
3 publications, 0.25%
|
|
Nagaoka University of Technology
3 publications, 0.25%
|
|
Utsunomiya University
3 publications, 0.25%
|
|
Tamagawa University
3 publications, 0.25%
|
|
Ishinomaki Senshu University
3 publications, 0.25%
|
|
Sanno University
3 publications, 0.25%
|
|
Shizuoka University
3 publications, 0.25%
|
|
Kyoto University
2 publications, 0.17%
|
|
Japan Advanced Institute of Science and Technology
2 publications, 0.17%
|
|
Shinshu University
2 publications, 0.17%
|
|
Toyota Motor Corporation
2 publications, 0.17%
|
|
University of Yamanashi
2 publications, 0.17%
|
|
Kagawa University
2 publications, 0.17%
|
|
Shiga University of Medical Science
2 publications, 0.17%
|
|
Kyoto Prefectural University
2 publications, 0.17%
|
|
Kanazawa Institute of Technology
2 publications, 0.17%
|
|
Chiba Institute of Technology
2 publications, 0.17%
|
|
Konan University
2 publications, 0.17%
|
|
Osaka Electro-Communication University
2 publications, 0.17%
|
|
Kyorin University Hospital
2 publications, 0.17%
|
|
Musashino Art University
2 publications, 0.17%
|
|
Takushoku University
2 publications, 0.17%
|
|
ETH Zurich
1 publication, 0.08%
|
|
Harbin Normal University
1 publication, 0.08%
|
|
Xi'an University of Technology
1 publication, 0.08%
|
|
Mahasarakham University
1 publication, 0.08%
|
|
Show all (70 more) | |
10
20
30
40
50
60
70
|
Publishing countries
500
1000
1500
2000
2500
3000
3500
4000
4500
|
|
Japan
|
Japan, 4103, 36.76%
Japan
4103 publications, 36.76%
|
Republic of Korea
|
Republic of Korea, 73, 0.65%
Republic of Korea
73 publications, 0.65%
|
USA
|
USA, 60, 0.54%
USA
60 publications, 0.54%
|
China
|
China, 20, 0.18%
China
20 publications, 0.18%
|
Italy
|
Italy, 15, 0.13%
Italy
15 publications, 0.13%
|
Russia
|
Russia, 11, 0.1%
Russia
11 publications, 0.1%
|
Thailand
|
Thailand, 8, 0.07%
Thailand
8 publications, 0.07%
|
Philippines
|
Philippines, 7, 0.06%
Philippines
7 publications, 0.06%
|
United Kingdom
|
United Kingdom, 6, 0.05%
United Kingdom
6 publications, 0.05%
|
Malaysia
|
Malaysia, 6, 0.05%
Malaysia
6 publications, 0.05%
|
Iraq
|
Iraq, 4, 0.04%
Iraq
4 publications, 0.04%
|
Brazil
|
Brazil, 3, 0.03%
Brazil
3 publications, 0.03%
|
Turkey
|
Turkey, 3, 0.03%
Turkey
3 publications, 0.03%
|
Germany
|
Germany, 2, 0.02%
Germany
2 publications, 0.02%
|
Armenia
|
Armenia, 2, 0.02%
Armenia
2 publications, 0.02%
|
Ghana
|
Ghana, 2, 0.02%
Ghana
2 publications, 0.02%
|
Denmark
|
Denmark, 2, 0.02%
Denmark
2 publications, 0.02%
|
India
|
India, 2, 0.02%
India
2 publications, 0.02%
|
Canada
|
Canada, 2, 0.02%
Canada
2 publications, 0.02%
|
Switzerland
|
Switzerland, 2, 0.02%
Switzerland
2 publications, 0.02%
|
Vietnam
|
Vietnam, 1, 0.01%
Vietnam
1 publication, 0.01%
|
Finland
|
Finland, 1, 0.01%
Finland
1 publication, 0.01%
|
Sweden
|
Sweden, 1, 0.01%
Sweden
1 publication, 0.01%
|
500
1000
1500
2000
2500
3000
3500
4000
4500
|
Publishing countries in 5 years
100
200
300
400
500
600
700
|
|
Japan
|
Japan, 668, 56.71%
Japan
668 publications, 56.71%
|
USA
|
USA, 20, 1.7%
USA
20 publications, 1.7%
|
Republic of Korea
|
Republic of Korea, 7, 0.59%
Republic of Korea
7 publications, 0.59%
|
Russia
|
Russia, 6, 0.51%
Russia
6 publications, 0.51%
|
United Kingdom
|
United Kingdom, 3, 0.25%
United Kingdom
3 publications, 0.25%
|
Iraq
|
Iraq, 3, 0.25%
Iraq
3 publications, 0.25%
|
Vietnam
|
Vietnam, 1, 0.08%
Vietnam
1 publication, 0.08%
|
Italy
|
Italy, 1, 0.08%
Italy
1 publication, 0.08%
|
Switzerland
|
Switzerland, 1, 0.08%
Switzerland
1 publication, 0.08%
|
100
200
300
400
500
600
700
|