University of California, Riverside

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University of California, Riverside
Short name
UC Riverside
Country, city
USA, Riverside
Publications
53 146
Citations
2 087 378
h-index
444
Top-3 organizations
Top-3 foreign organizations
ETH Zurich
ETH Zurich (850 publications)
Peking University
Peking University (828 publications)
Imperial College London
Imperial College London (807 publications)

Most cited in 5 years

Tegally H., Wilkinson E., Giovanetti M., Iranzadeh A., Fonseca V., Giandhari J., Doolabh D., Pillay S., San E.J., Msomi N., Mlisana K., von Gottberg A., Walaza S., Allam M., Ismail A., et. al.
Nature scimago Q1 wos Q1
2021-03-09 citations by CoLab: 1429 Abstract  
Continued uncontrolled transmission of SARS-CoV-2 in many parts of the world is creating conditions for substantial evolutionary changes to the virus1,2. Here we describe a newly arisen lineage of SARS-CoV-2 (designated 501Y.V2; also known as B.1.351 or 20H) that is defined by eight mutations in the spike protein, including three substitutions (K417N, E484K and N501Y) at residues in its receptor-binding domain that may have functional importance3–5. This lineage was identified in South Africa after the first wave of the epidemic in a severely affected metropolitan area (Nelson Mandela Bay) that is located on the coast of the Eastern Cape province. This lineage spread rapidly, and became dominant in Eastern Cape, Western Cape and KwaZulu–Natal provinces within weeks. Although the full import of the mutations is yet to be determined, the genomic data—which show rapid expansion and displacement of other lineages in several regions—suggest that this lineage is associated with a selection advantage that most plausibly results from increased transmissibility or immune escape6–8. The 501Y.V2 variant of SARS-CoV-2 in South Africa became dominant over other variants within weeks of its emergence, suggesting that this variant is linked to increased transmissibility or immune escape.
Fleischmann S., Mitchell J.B., Wang R., Zhan C., Jiang D., Presser V., Augustyn V.
Chemical Reviews scimago Q1 wos Q1
2020-06-28 citations by CoLab: 1336 Abstract  
There is an urgent global need for electrochemical energy storage that includes materials that can provide simultaneous high power and high energy density. One strategy to achieve this goal is with pseudocapacitive materials that take advantage of reversible surface or near-surface Faradaic reactions to store charge. This allows them to surpass the capacity limitations of electrical double-layer capacitors and the mass transfer limitations of batteries. The past decade has seen tremendous growth in the understanding of pseudocapacitance as well as materials that exhibit this phenomenon. The purpose of this Review is to examine the fundamental development of the concept of pseudocapacitance and how it came to prominence in electrochemical energy storage as well as to describe new classes of materials whose electrochemical energy storage behavior can be described as pseudocapacitive.
Kattge J., Bönisch G., Díaz S., Lavorel S., Prentice I.C., Leadley P., Tautenhahn S., Werner G.D., Aakala T., Abedi M., Acosta A.T., Adamidis G.C., Adamson K., Aiba M., Albert C.H., et. al.
Global Change Biology scimago Q1 wos Q1
2019-12-31 citations by CoLab: 1326 Abstract  
AbstractPlant traits—the morphological, anatomical, physiological, biochemical and phenological characteristics of plants—determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits—almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives.
Paolicelli R.C., Sierra A., Stevens B., Tremblay M., Aguzzi A., Ajami B., Amit I., Audinat E., Bechmann I., Bennett M., Bennett F., Bessis A., Biber K., Bilbo S., Blurton-Jones M., et. al.
Neuron scimago Q1 wos Q1
2022-11-02 citations by CoLab: 981 Abstract  
Microglial research has advanced considerably in recent decades yet has been constrained by a rolling series of dichotomies such as "resting versus activated" and "M1 versus M2." This dualistic classification of good or bad microglia is inconsistent with the wide repertoire of microglial states and functions in development, plasticity, aging, and diseases that were elucidated in recent years. New designations continuously arising in an attempt to describe the different microglial states, notably defined using transcriptomics and proteomics, may easily lead to a misleading, although unintentional, coupling of categories and functions. To address these issues, we assembled a group of multidisciplinary experts to discuss our current understanding of microglial states as a dynamic concept and the importance of addressing microglial function. Here, we provide a conceptual framework and recommendations on the use of microglial nomenclature for researchers, reviewers, and editors, which will serve as the foundations for a future white paper.
Zhu Y., Ameyama K., Anderson P.M., Beyerlein I.J., Gao H., Kim H.S., Lavernia E., Mathaudhu S., Mughrabi H., Ritchie R.O., Tsuji N., Zhang X., Wu X.
Materials Research Letters scimago Q1 wos Q1 Open Access
2020-09-27 citations by CoLab: 715 PDF Abstract  
Heterostructured materials are an emerging class of materials with superior performances that are unattainable by their conventional homogeneous counterparts. They consist of heterogeneous zones wi...
Wightman D.P., Jansen I.E., Savage J.E., Shadrin A.A., Bahrami S., Holland D., Rongve A., Børte S., Winsvold B.S., Drange O.K., Martinsen A.E., Skogholt A.H., Willer C., Bråthen G., Bosnes I., et. al.
Nature Genetics scimago Q1 wos Q1
2021-09-07 citations by CoLab: 685 Abstract  
Late-onset Alzheimer’s disease is a prevalent age-related polygenic disease that accounts for 50–70% of dementia cases. Currently, only a fraction of the genetic variants underlying Alzheimer’s disease have been identified. Here we show that increased sample sizes allowed identification of seven previously unidentified genetic loci contributing to Alzheimer’s disease. This study highlights microglia, immune cells and protein catabolism as relevant to late-onset Alzheimer’s disease, while identifying and prioritizing previously unidentified genes of potential interest. We anticipate that these results can be included in larger meta-analyses of Alzheimer’s disease to identify further genetic variants that contribute to Alzheimer’s pathology. A genome-wide association study performed in 1,126,563 individuals identifies seven new loci associated with Alzheimer’s disease and implicates microglia and immune cells in late-onset disease.
Magar H.S., Hassan R.Y., Mulchandani A.
Sensors scimago Q1 wos Q2 Open Access
2021-10-01 citations by CoLab: 671 PDF Abstract  
Electrochemical impedance spectroscopy (EIS) is a powerful technique used for the analysis of interfacial properties related to bio-recognition events occurring at the electrode surface, such as antibody–antigen recognition, substrate–enzyme interaction, or whole cell capturing. Thus, EIS could be exploited in several important biomedical diagnosis and environmental applications. However, the EIS is one of the most complex electrochemical methods, therefore, this review introduced the basic concepts and the theoretical background of the impedimetric technique along with the state of the art of the impedimetric biosensors and the impact of nanomaterials on the EIS performance. The use of nanomaterials such as nanoparticles, nanotubes, nanowires, and nanocomposites provided catalytic activity, enhanced sensing elements immobilization, promoted faster electron transfer, and increased reliability and accuracy of the reported EIS sensors. Thus, the EIS was used for the effective quantitative and qualitative detections of pathogens, DNA, cancer-associated biomarkers, etc. Through this review article, intensive literature review is provided to highlight the impact of nanomaterials on enhancing the analytical features of impedimetric biosensors.
Gao C., Lyu F., Yin Y.
Chemical Reviews scimago Q1 wos Q1
2020-06-25 citations by CoLab: 599 Abstract  
Metal nanoparticles have drawn great attention in heterogeneous catalysis. One challenge is that they are easily deactivated by migration-coalescence during the catalysis process because of their high surface energy. With the rapid development of nanoscience, encapsulating metal nanoparticles in nanoshells or nanopores becomes one of the most promising strategies to overcome the stability issue of the metal nanoparticles. Besides, the activity and selectivity could be simultaneously enhanced by taking advantage of the synergy between the metal nanoparticles and the encapsulating materials as well as the molecular sieving property of the encapsulating materials. In this review, we provide a comprehensive summary of the recent progress in the synthesis and catalytic properties of the encapsulated metal nanoparticles. This review begins with an introduction to the synthetic strategies for encapsulating metal nanoparticles with different architectures developed to date, including their encapsulation in nanoshells of inorganic oxides and carbon, porous materials (zeolites, metal-organic frameworks, and covalent organic frameworks), and organic capsules (dendrimers and organic cages). The advantages of the encapsulated metal nanoparticles are then discussed, such as enhanced stability and recyclability, improved selectivity, strong metal-support interactions, and the capability of enabling tandem catalysis, followed by the introduction of some representative applications of the encapsulated metal nanoparticles in thermo-, photo-, and electrocatalysis. At the end of this review, we discuss the remaining challenges associated with the encapsulated metal nanoparticles and provide our perspectives on the future development of the field.
Li S., Gao Y., Li N., Ge L., Bu X., Feng P.
2021-03-05 citations by CoLab: 578 Abstract  
The review summarizes transition metal-based bimetallic MOFs and their derived materials as electrocatalytic materials for the OER. The mechanisms of the OER as probed by DFT calculation and in situ characterization techniques are also discussed.
Yousefzadeh M.J., Flores R.R., Zhu Y., Schmiechen Z.C., Brooks R.W., Trussoni C.E., Cui Y., Angelini L., Lee K., McGowan S.J., Burrack A.L., Wang D., Dong Q., Lu A., Sano T., et. al.
Nature scimago Q1 wos Q1
2021-05-12 citations by CoLab: 571 Abstract  
Ageing of the immune system, or immunosenescence, contributes to the morbidity and mortality of the elderly1,2. To define the contribution of immune system ageing to organism ageing, here we selectively deleted Ercc1, which encodes a crucial DNA repair protein3,4, in mouse haematopoietic cells to increase the burden of endogenous DNA damage and thereby senescence5–7 in the immune system only. We show that Vav-iCre+/−;Ercc1−/fl mice were healthy into adulthood, then displayed premature onset of immunosenescence characterized by attrition and senescence of specific immune cell populations and impaired immune function, similar to changes that occur during ageing in wild-type mice8–10. Notably, non-lymphoid organs also showed increased senescence and damage, which suggests that senescent, aged immune cells can promote systemic ageing. The transplantation of splenocytes from Vav-iCre+/−;Ercc1−/fl or aged wild-type mice into young mice induced senescence in trans, whereas the transplantation of young immune cells attenuated senescence. The treatment of Vav-iCre+/−;Ercc1−/fl mice with rapamycin reduced markers of senescence in immune cells and improved immune function11,12. These data demonstrate that an aged, senescent immune system has a causal role in driving systemic ageing and therefore represents a key therapeutic target to extend healthy ageing. An aged, senescent immune system has a causal role in driving systemic ageing, and the targeting of senescent immune cells with senolytic drugs has the potential to suppress morbidities associated with old age.
Brooks A.J., LeFebvre J.C., Forman J.A., Vattipalli S., Belianinov A., Titze M., Cybart S.A.
2025-08-01 citations by CoLab: 0
Middleton A., Choi S.K., Walker S., Austermann J., Burgoyne J.R., Butler V., Chapman S.C., Crites A.T., Duell C.J., Freundt R.G., Huber A.I., Huber Z.B., Hubmayr J., Keller B., Lin L.T., et. al.
2025-08-01 citations by CoLab: 0
Qu R.Y., Boehm A.M., LeFebvre J.C., Vattipalli S., Parachikunnumal A., Kim A., Titze M.T., Belianinov A.A., Bielejec E.S., Ohta T., Cybart S.A.
2025-08-01 citations by CoLab: 0
Attia A., Toraih E., Ardis C., Omar M., Abdelmaksoud A., Tatum D., Killackey M., Levy S., Paramesh A.
2025-03-17 citations by CoLab: 0 Abstract  
BACKGROUND: Obesity is a significant barrier to kidney transplantation for patients with end-stage renal disease (ESRD). We aimed to evaluate the long-term impact of metabolic and bariatric surgery (MBS) on kidney transplantation access and outcomes in individuals with obesity and patients with ESRD. STUDY DESIGN: A retrospective cohort study using data from 64 US healthcare organizations included 132,989 individuals with obesity (BMI ≥ 30 kg/m²) and ESRD requiring dialysis, of whom 6,263 (4.6%) underwent MBS. Propensity score matching produced 1:1 matched groups of 6,238 patients each, analyzed for 10 years. Primary outcomes included rates of kidney transplant waitlist placement, transplantation, and overall mortality. Secondary outcomes focused on 22,979 transplant recipients, including 1,701 (7.4%) patients who underwent MBS, to evaluate posttransplant adverse events. RESULTS: During a median follow-up of 33.3 months (MBS) and 28.5 months (controls), patients who underwent MBS demonstrated higher rates of waitlist placement (19.12% vs 10.53%, hazard ratio [HR] 1.800, 95% CI 1.636 to 1.980, p < 0.001) and transplantation (27.06% vs 16.09%, HR 1.712, 95% CI 1.584 to 1.852, p < 0.001) at 10 years, with benefits evident within 1-month postoperation. Mortality was lower in the MBS group (30.55% vs 36.44%, HR 0.768, 95% CI 0.723 to 0.817, p < 0.001). In transplant recipients, patients who underwent MBS had lower cardiovascular complications (37.3% vs 40.6%, risk ratio 0.92, p = 0.007) and all-cause mortality (16.70% vs 20.88%, HR 0.82, p < 0.001), with no significant differences in graft rejection or failure. CONCLUSIONS: MBS significantly improves access to kidney transplantation and long-term survival for obese patients with ESRD. Patients who underwent MBS demonstrated notable improvements in cardiovascular health, potentially leading to a better quality of life and survival. These findings suggest that MBS should be considered as part of the comprehensive care for this high-risk population.
Lynch S.C., Na F., Reyes-Gonzalez E., Bossard E., Alarcon K.S., Eskalen A., Gilbert G.S.
Phytobiomes Journal scimago Q1 wos Q1 Open Access
2025-03-17 citations by CoLab: 1 Abstract  
The microbiomes of plants can modulate the impacts of pests, including through interactions with the microbiomes of pathogen vectors, such as ambrosia beetles. Although physical and chemical traits of plant hosts are known to affect beetle-carried microbes, how beetle and host microbiomes interact is seldom explored. We aimed to determine whether wood-inhabiting endophytes mediate host susceptibility to Fusarium dieback, an emergent tree disease complex that includes ambrosia beetle vectors. We studied three competent host tree species ( Persea americana, Salix spp., and Platanus racemosa) common in disease hot spots in agricultural and wildland habitats. Using culturing methods, we compared the wood microbiomes of 319 attacked and 133 nonattacked trees across a network of 47 beetle-infested and 41 noninfested plots in Southern California, United States. We conducted 1,148 in vitro assays to evaluate antagonism by wood-inhabiting endophytic fungi (60 species) and bacteria (40 species) to the Fusarium pathogens and found 15 fungal and 11 bacterial species with clear antagonism to the pathogen. Such wood endophytes may have potential to protect tree hosts as biological control agents. However, antagonistic microbes were more common in attacked trees than in nonattacked trees, suggesting that either the abundance of antagonistic fungi and bacteria in the wood microbiome is insufficient to determine the host susceptibility to attack or antagonistic strains could be enriched in attacked trees in response to the pathogen invasion. Wood-inhabiting microbial communities were consistently different between cultivated Persea americana and wildland tree species, as there were some differences based on host attack status. Differences between attacked and nonattacked trees were reflected in different microbial consortia rather than the abundance of individual, antagonistic microbial species. [Formula: see text] Copyright © 2025 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license .
Thomas A.P., Suneel V., Karthika P.S., Alex M.J., Papa F., Rao V.T., Srinivas G., Rao E.P., Sudheesh K.
Journal of Climate scimago Q1 wos Q1
2025-03-15 citations by CoLab: 0 Abstract  
Abstract Fourteen years of monthly repeated expendable conductivity–temperature–depth sections across the northeastern Bay of Bengal were used to examine the interannual variability of temperature inversions during Indian Ocean dipole (IOD) years. Data averaged over three regions at the latitude band of 15°–19°N along the Port Blair–Kolkata shipping transect reveal occurrences of temperature inversions during November–February. Notably, inversions with higher thickness (∼92 m) and intensity (3.24°C) occurred at relatively shallow depths (∼50 m) during the 2012 positive IOD compared to the 2016 negative IOD (∼25-m thickness, 1.91°C intensity, at 86-m depth). The intensity of the inversion layer gradually weakened from Kolkata to Port Blair during the 2012 and 2019 positive IOD years and vice versa during the co-occurrence of IOD with El Niño–Southern Oscillation (ENSO) in 2015. The observed stratification was higher during 2012 and 2019 positive IOD years. Salt budget analysis revealed that the advection of freshwater plumes was the primary reason for this observed high stratification. Interestingly, on average, the inversion layer occupied 73%–86% of the barrier layer during the positive IOD years (2012 and 2019) and 40%–55% during the 2016 negative IOD (nIOD) year, from Kolkata to Port Blair. Heat budget analysis revealed that the net surface heat flux and penetrative shortwave radiation were the governing factors responsible for the observed inversion characteristics in the study region during different IOD phases. Our analysis indicates that undulations from westward-propagating Rossby waves were the driving mechanism behind the shallow and deep occurrences of inversions in our study region during the positive (2012 and 2019) and negative (2016) phases of IOD. The changes in mixed layer temperature caused by these wave processes were notably more dominant than the effect of the heat trapped in the inversion layer. Significance Statement The increase of temperature with depth in the ocean, known as temperature inversion, forms over the northern Bay of Bengal regularly during winter. The heat trapped in the inversion layer is believed to impact the sea surface temperature and, hence, the region’s climate. Therefore, using 14 years of expendable conductivity–temperature–depth data collected along the Kolkata–Port Blair transect through passenger ships, the year-to-year variability of temperature inversion is studied. Due to excess freshwater plumes, weak downwelling Rossby wave propagation, and conducive heat fluxes, intense temperature inversions formed near the surface in the 2012 positive Indian Ocean dipole year compared to the 2016 negative Indian Ocean dipole year. The heat trapped in the inversion does not seem to impact sea surface temperature as it is eroded due to the propagation of the upwelling Rossby waves.
Talukder Z., Lu B., Ren S., Islam M.A.
2025-03-12 citations by CoLab: 0 Abstract  
Federated Learning (FL) is a promising technique for decentralized privacy-preserving Machine Learning (ML) with a diverse pool of participating devices with varying device capabilities. However, existing approaches to handle such heterogeneous environments do not consider “fairness” in model aggregation, resulting in significant performance variation among devices. Meanwhile, prior works on FL fairness remain hardware-oblivious and cannot be applied directly without severe performance penalties. To address this issue, we propose a novel hardware-sensitive FL method called \(\mathsf {FairHetero} \) that promotes fairness among heterogeneous federated clients. Our approach offers tunable fairness within a group of devices with the same ML architecture as well as across different groups with heterogeneous models. Our evaluation under MNIST , FEMNIST , CIFAR10 , and SHAKESPEARE datasets demonstrates that \(\mathsf {FairHetero} \) can reduce variance among participating clients’ test loss compared to the existing state-of-the-art (SOTA) techniques, resulting in increased overall performance.
Magill N., Pires A.R., Weiler M.
Journal of Topology scimago Q1 wos Q2
2025-03-10 citations by CoLab: 0 Abstract  
AbstractThe ellipsoid embedding function of a symplectic manifold gives the smallest amount by which the symplectic form must be scaled in order for a standard ellipsoid of the given eccentricity to embed symplectically into the manifold. It was first computed for the standard four‐ball (or equivalently, the complex projective plane) by McDuff and Schlenk, and found to contain the unexpected structure of an “infinite staircase,” that is, an infinite sequence of nonsmooth points arranged in a piecewise linear stair‐step pattern. Later work of Usher and Cristofaro‐Gardiner–Holm–Mandini–Pires suggested that while four‐dimensional symplectic toric manifolds with infinite staircases are plentiful, they are highly nongeneric. This paper concludes the systematic study of one‐point blowups of the complex projective plane, building on previous work of Bertozzi‐Holm‐Maw‐McDuff‐Mwakyoma‐Pires‐Weiler, Magill‐McDuff, Magill‐McDuff‐Weiler, and Magill on these Hirzebruch surfaces. We prove a conjecture of Cristofaro‐Gardiner–Holm–Mandini–Pires for this family: that if the blowup is of rational weight and the embedding function has an infinite staircase then that weight must be . We show also that the function for this manifold does not have a descending staircase. Furthermore, we give a sufficient and necessary condition for the existence of an infinite staircase in this family which boils down to solving a quadratic equation and computing the function at one specific value. Many of our intermediate results also apply to the case of the polydisk (or equivalently, the symplectic product of two spheres).
Guo X., Lu J., Miao L., Shen E.
Biology scimago Q1 wos Q1 Open Access
2025-03-09 citations by CoLab: 0 PDF Abstract  
Aging is a time-dependent process of functional decline influenced by genetic and environmental factors. Age-related mitochondrial changes remain incompletely understood. Here, we found that compared to the wild type, the mitochondria of long-lived daf-2 C. elegans maintain youthful morphology and function. Through quantitative proteomic analysis on isolated mitochondria, we identified 257 differentially expressed candidates. Analysis of these changed mitochondrial proteins reveals a significant upregulation of five key mitochondrial metabolic pathways in daf-2 mutants, including branched-chain amino acids (BCAA), reactive oxygen species (ROS), propionate, β-alanine, and fatty acids (FA), all of which are related to daf-2-mediated longevity. In addition, mitochondrial ribosome protein abundance slightly decreased in daf-2 mutants. A mild reduction in mitochondrial elongation factor G (gfm-1) by RNAi extends the lifespan of wild type while decreasing lipid metabolic process and cytoplasmic fatty acid metabolism, suggesting that proper inhibition of mitochondrial translation activity might be important for lifespan extension. Overall, our findings indicate that mitochondrial metabolic modulation contributes to the longevity of daf-2 mutants and further highlights the crucial role of mitochondria in aging.
Phillips J., Bodaghi S., Vidalakis G., Blaha G.M.
Plant Disease scimago Q1 wos Q1
2025-03-06 citations by CoLab: 0 Abstract  
‘Candidatus Liberibacter asiaticus’ (CLas), the agent associated with the Huanglongbing (HLB) citrus disease, is commonly detected using quantitative polymerase chain reaction (qPCR) with hydrolysis probes. Internal standards are typically included in the qPCR assays to reduce the risk of false negatives caused by inhibitors. When the internal standard is detected but CLas is not, it is generally assumed that the pathogen is absent from the tested sample. However, our study shows that trace amounts of CLas may go undetected if the internal standard is either overly abundant or too dissimilar to CLas. To overcome these limitations, we developed a synthetic internal standard (IS) that uses the same primer as the CLas target sequence, along with three to four downstream nucleotides, but with a unique internal sequence derived from smooth hammerhead shark (Sphyrna zygaena; IS-SHK). This sequence matches the G/C content and melting temperature of the CLas target and was specifically selected to minimize potential interference from other nucleic acid materials in citrus samples. To minimize competition between the IS-SHK standard and the CLas target, an average of only 21 molecules of IS-SHK standard is added to each qPCR reaction. Therefore, when IS-SHK standard is detected at expected levels and CLas is not, the absence of CLas is confirmed rather than inhibition of the detection. Conversely, the absence of both IS-SHK standard and CLas suggests the presence of a qPCR inhibitor, warranting retesting of the sample.
Paul S.J., Morán S., Arratia M., Brooks W.K., Hakobyan H., Alaoui A.E., Achenbach P., Alvarado J.S., Armstrong W.R., Atac H., Avakian H., Baashen L., Baltzell N.A., Barion L., Bashkanov M., et. al.
Physical Review C scimago Q1 wos Q2
2025-03-05 citations by CoLab: 0
Javed S., Ali S., Goldy C.J., Nawab B., Baniya A., Dillman A.R.
Insects scimago Q1 wos Q1 Open Access
2025-03-05 citations by CoLab: 0 PDF Abstract  
The growing reliance on chemical pesticides in agriculture has raised significant concerns about their environmental and health impacts. This study investigates the potential of Indigenous entomopathogenic nematodes (EPNs), specifically Steinernema pakistanense and Heterorhabditis indica, as biological control agents for Leucinodes orbonalis, the brinjal fruit and shoot borer, a major pest in Karachi, Sindh, Pakistan. A comprehensive soil sampling was carried out across 30 locations. Molecular identification via PCR and sequencing confirmed the taxonomic classification of the isolated strains, showing high genetic similarity to known EPN species. The reproductive potential of the isolated strains varied, with Pak.S.SA.22 exhibiting the highest fecundity, averaging 91,944 offspring per larva, indicating strong biocontrol potential. Laboratory bioassays at different concentrations showed that Pak.S.SA.22 achieved 100% mortality of L. orbonalis at a concentration of 200 IJs/mL, confirming its effectiveness. Field trials further validated these findings, demonstrating up to 90% pest control efficacy over multiple application intervals, highlighting the practical applicability of this strain in field conditions. These results advocate for the inclusion of indigenous EPNs in integrated pest management (IPM) programs as a sustainable, environmentally friendly alternative to chemical pesticides, contributing to the promotion of sustainable agricultural practices.

Since 1925

Total publications
53146
Total citations
2087378
Citations per publication
39.28
Average publications per year
531.46
Average authors per publication
33.2
h-index
444
Metrics description

Top-30

Fields of science

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General Medicine, 4221, 7.94%
Ecology, Evolution, Behavior and Systematics, 3826, 7.2%
Biochemistry, 3402, 6.4%
Genetics, 2969, 5.59%
Molecular Biology, 2933, 5.52%
General Chemistry, 2898, 5.45%
Insect Science, 2533, 4.77%
Plant Science, 2424, 4.56%
Ecology, 2030, 3.82%
Multidisciplinary, 1931, 3.63%
General Physics and Astronomy, 1882, 3.54%
Condensed Matter Physics, 1860, 3.5%
Agronomy and Crop Science, 1810, 3.41%
General Materials Science, 1684, 3.17%
Physical and Theoretical Chemistry, 1676, 3.15%
Cell Biology, 1622, 3.05%
Electrical and Electronic Engineering, 1399, 2.63%
Physiology, 1391, 2.62%
Sociology and Political Science, 1375, 2.59%
Space and Planetary Science, 1279, 2.41%
Environmental Chemistry, 1245, 2.34%
Biotechnology, 1219, 2.29%
Astronomy and Astrophysics, 1169, 2.2%
Education, 1131, 2.13%
Pollution, 1109, 2.09%
Electronic, Optical and Magnetic Materials, 1102, 2.07%
Nuclear and High Energy Physics, 1086, 2.04%
Computer Science Applications, 1023, 1.92%
Catalysis, 979, 1.84%
Mechanical Engineering, 961, 1.81%
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China, 5260, 9.9%
United Kingdom, 2842, 5.35%
Germany, 2481, 4.67%
France, 1866, 3.51%
Canada, 1767, 3.32%
Italy, 1676, 3.15%
Australia, 1590, 2.99%
Spain, 1448, 2.72%
Republic of Korea, 1387, 2.61%
Mexico, 1372, 2.58%
Switzerland, 1372, 2.58%
India, 1261, 2.37%
Brazil, 1199, 2.26%
Japan, 1110, 2.09%
Russia, 969, 1.82%
Belgium, 945, 1.78%
Poland, 923, 1.74%
Iran, 914, 1.72%
Czech Republic, 911, 1.71%
Finland, 884, 1.66%
Pakistan, 869, 1.64%
Austria, 856, 1.61%
Turkey, 840, 1.58%
Netherlands, 826, 1.55%
Greece, 816, 1.54%
Portugal, 799, 1.5%
New Zealand, 799, 1.5%
Hungary, 774, 1.46%
Egypt, 767, 1.44%
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  • We do not take into account publications without a DOI.
  • Statistics recalculated daily.
  • Publications published earlier than 1925 are ignored in the statistics.
  • The horizontal charts show the 30 top positions.
  • Journals quartiles values are relevant at the moment.