Universidad Nacional de Cuyo

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Universidad Nacional de Cuyo
Short name
UNCuyo
Country, city
Argentina, Mendoza
Publications
4 790
Citations
91 615
h-index
105
Top-3 journals
Physical Review B
Physical Review B (136 publications)
Physical Review E
Physical Review E (56 publications)
Physical Review D
Physical Review D (55 publications)
Top-3 organizations
University of Buenos Aires
University of Buenos Aires (247 publications)
National University of San Luis
National University of San Luis (176 publications)
Top-3 foreign organizations
Universidad de Chile
Universidad de Chile (100 publications)
Universidad Mayor
Universidad Mayor (76 publications)
Universidad Adolfo Ibáñez
Universidad Adolfo Ibáñez (64 publications)

Most cited in 5 years

Klionsky D.J., Abdel-Aziz A.K., Abdelfatah S., Abdellatif M., Abdoli A., Abel S., Abeliovich H., Abildgaard M.H., Abudu Y.P., Acevedo-Arozena A., Adamopoulos I.E., Adeli K., Adolph T.E., Adornetto A., Aflaki E., et. al.
Autophagy scimago Q1 wos Q1 Open Access
2021-01-02 citations by CoLab: 1798 Abstract  
ABSTRACT In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for bona fide autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field.
Klionsky D.J., Petroni G., Amaravadi R.K., Baehrecke E.H., Ballabio A., Boya P., Bravo‐San Pedro J.M., Cadwell K., Cecconi F., Choi A.M., Choi M.E., Chu C.T., Codogno P., Colombo M., Cuervo A.M., et. al.
EMBO Journal scimago Q1 wos Q1 Open Access
2021-08-30 citations by CoLab: 927
Hourahine B., Aradi B., Blum V., Bonafé F., Buccheri A., Camacho C., Cevallos C., Deshaye M.Y., Dumitrică T., Dominguez A., Ehlert S., Elstner M., van der Heide T., Hermann J., Irle S., et. al.
Journal of Chemical Physics scimago Q1 wos Q1
2020-03-23 citations by CoLab: 778 PDF Abstract  
DFTB+ is a versatile community developed open source software package offering fast and efficient methods for carrying out atomistic quantum mechanical simulations. By implementing various methods approximating density functional theory (DFT), such as the density functional based tight binding (DFTB) and the extended tight binding method, it enables simulations of large systems and long timescales with reasonable accuracy while being considerably faster for typical simulations than the respective ab initio methods. Based on the DFTB framework, it additionally offers approximated versions of various DFT extensions including hybrid functionals, time dependent formalism for treating excited systems, electron transport using non-equilibrium Green’s functions, and many more. DFTB+ can be used as a user-friendly standalone application in addition to being embedded into other software packages as a library or acting as a calculation-server accessed by socket communication. We give an overview of the recently developed capabilities of the DFTB+ code, demonstrating with a few use case examples, discuss the strengths and weaknesses of the various features, and also discuss on-going developments and possible future perspectives.
Duarte Alonso A., Kok S.K., Bressan A., O’Shea M., Sakellarios N., Koresis A., Buitrago Solis M.A., Santoni L.J.
2020-10-01 citations by CoLab: 214 Abstract  
Drawing on the theory of resilience, and on an international sample of 45 predominantly small hospitality businesses, this exploratory study extends knowledge about the key concerns, ways of coping, and the changes and adjustments undertaken by these firms' owners and managers during the COVID-19 outbreak. The various emergent relationships between the findings and the considered conceptual underpinnings of the literature on resilience, revealed nine theoretical dimensions. These dimensions critically illuminate and extend understanding concerning the actions and alternatives owners-managers resorted to when confronted with an extreme context. For instance, with financial impacts and uncertainty being predominant issues among participants, over one-third indicated actioning alternative measures to create much-needed revenue streams, and preparing for a new post-COVID-19 operational regime, respectively. Furthermore, 60 percent recognised making changes to the day-to-day running of the business to respond to initial impacts, or biding time in anticipation of a changing business and legal environment.
Lembrechts J.J., Hoogen J., Aalto J., Ashcroft M.B., De Frenne P., Kemppinen J., Kopecký M., Luoto M., Maclean I.M., Crowther T.W., Bailey J.J., Haesen S., Klinges D.H., Niittynen P., Scheffers B.R., et. al.
Global Change Biology scimago Q1 wos Q1
2022-02-11 citations by CoLab: 175 Abstract  
AbstractResearch in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1‐km2 resolution for 0–5 and 5–15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1‐km2 pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse‐grained air temperature estimates from ERA5‐Land (an atmospheric reanalysis by the European Centre for Medium‐Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (−0.7 ± 2.3°C). The observed substantial and biome‐specific offsets emphasize that the projected impacts of climate and climate change on near‐surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil‐related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications.
Lembrechts J.J., Aalto J., Ashcroft M.B., De Frenne P., Kopecký M., Lenoir J., Luoto M., Maclean I.M., Roupsard O., Fuentes‐Lillo E., García R.A., Pellissier L., Pitteloud C., Alatalo J.M., Smith S.W., et. al.
Global Change Biology scimago Q1 wos Q1
2020-06-24 citations by CoLab: 141 Abstract  
AbstractCurrent analyses and predictions of spatially explicit patterns and processes in ecology most often rely on climate data interpolated from standardized weather stations. This interpolated climate data represents long‐term average thermal conditions at coarse spatial resolutions only. Hence, many climate‐forcing factors that operate at fine spatiotemporal resolutions are overlooked. This is particularly important in relation to effects of observation height (e.g. vegetation, snow and soil characteristics) and in habitats varying in their exposure to radiation, moisture and wind (e.g. topography, radiative forcing or cold‐air pooling). Since organisms living close to the ground relate more strongly to these microclimatic conditions than to free‐air temperatures, microclimatic ground and near‐surface data are needed to provide realistic forecasts of the fate of such organisms under anthropogenic climate change, as well as of the functioning of the ecosystems they live in. To fill this critical gap, we highlight a call for temperature time series submissions to SoilTemp, a geospatial database initiative compiling soil and near‐surface temperature data from all over the world. Currently, this database contains time series from 7,538 temperature sensors from 51 countries across all key biomes. The database will pave the way toward an improved global understanding of microclimate and bridge the gap between the available climate data and the climate at fine spatiotemporal resolutions relevant to most organisms and ecosystem processes.
Morales M.S., Cook E.R., Barichivich J., Christie D.A., Villalba R., LeQuesne C., Srur A.M., Ferrero M.E., González-Reyes Á., Couvreux F., Matskovsky V., Aravena J.C., Lara A., Mundo I.A., Rojas F., et. al.
2020-07-06 citations by CoLab: 140 Abstract  
SignificanceThe SADA is an annually-resolved hydroclimate atlas in South America that spans the continent south of 12°S from 1400 to 2000 CE. Based on 286 tree ring records and instrumentally-based estimates of soil moisture, the SADA complements six drought atlases worldwide filling a geographical gap in the Southern Hemisphere. Independently validated with historical records, SADA shows that the frequency of widespread severe droughts and extreme pluvials since the 1960s is unprecedented. Major hydroclimate events expressed in the SADA are associated with strong El Niño Southern Oscillation (ENSO) and Southern Annular Mode (SAM) anomalies. Coupled ENSO-SAM anomalies together with subtropical low-level jet intensification due to increasing greenhouse gas emissions may cause more extreme droughts and pluvials in South America during the 21st century.
Mariño K.V., Cagnoni A.J., Croci D.O., Rabinovich G.A.
Nature Reviews Drug Discovery scimago Q1 wos Q1
2023-02-09 citations by CoLab: 124 Abstract  
Galectins are a family of endogenous glycan-binding proteins that have crucial roles in a broad range of physiological and pathological processes. As a group, these proteins use both extracellular and intracellular mechanisms as well as glycan-dependent and independent pathways to reprogramme the fate and function of numerous cell types. Given their multifunctional roles in both tissue fibrosis and cancer, galectins have been identified as potential therapeutic targets for these disorders. Here, we focus on the therapeutic relevance of galectins, particularly galectin 1 (GAL1), GAL3 and GAL9 to tumour progression and fibrotic diseases. We consider an array of galectin-targeted strategies, including small-molecule carbohydrate inhibitors, natural polysaccharides and their derivatives, peptides, peptidomimetics and biological agents (notably, neutralizing monoclonal antibodies and truncated galectins) and discuss their mechanisms of action, selectivity and therapeutic potential in preclinical models of fibrosis and cancer. We also review the results of clinical trials that aim to evaluate the efficacy of galectin inhibitors in patients with idiopathic pulmonary fibrosis, nonalcoholic steatohepatitis and cancer. The rapid pace of glycobiology research, combined with the acute need for drugs to alleviate fibrotic inflammation and overcome resistance to anticancer therapies, will accelerate the translation of anti-galectin therapeutics into clinical practice. Galectins are glycan-binding proteins with broad roles in physiological and pathological processes. Here, Rabinovich and colleagues discuss the therapeutic relevance of galectins to cancer and fibrosis and review the various strategies to target galectins and their progress in clinical trials.
Ayres L.B., Gomez F.J., Linton J.R., Silva M.F., Garcia C.D.
Analytica Chimica Acta scimago Q1 wos Q1
2021-05-01 citations by CoLab: 115 Abstract  
The last 10 years have witnessed the growth of artificial intelligence into different research areas, emerging as a vibrant discipline with the capacity to process large amounts of information and even intuitively interact with humans. In the chemical world, these innovations in both hardware and algorithms have allowed the development of revolutionary approaches in organic synthesis, drug discovery, and materials’ design. Despite these advances, the use of AI to support analytical purposes has been mostly limited to data-intensive methodologies linked to image recognition, vibrational spectroscopy, and mass spectrometry but not to other technologies that, albeit simpler, offer promise of greatly enhanced analytics now that AI is becoming mature enough to take advantage of them. To address the imminent opportunity of analytical chemists to use AI, this tutorial review aims to serve as a first step for junior researchers considering integrating AI into their programs. Thus, basic concepts related to AI are first discussed followed by a critical assessment of representative reports integrating AI with various sensors, spectroscopies, and separation techniques. For those with the courage (and the time) needed to get started, the review also provides a general sequence of steps to begin integrating AI into their programs.
Funes S.C., Rios M., Fernández-Fierro A., Covián C., Bueno S.M., Riedel C.A., Mackern-Oberti J.P., Kalergis A.M.
Frontiers in Immunology scimago Q1 wos Q1 Open Access
2020-07-23 citations by CoLab: 111 PDF Abstract  
Heme-oxygenase (HO) is the primary antioxidant enzyme involved in heme group degradation. A variety of stimuli triggers the expression of the inducible HO-1 isoform, which is modulated by its substrate and cellular stressors. A major anti-inflammatory role has been assigned to the HO-1 activity. Therefore, in recent years HO-1 induction has been employed as an approach to treating several disorders displaying some immune alterations components, such as exacerbated inflammation or self-reactivity. Many natural compounds have shown to be effective inductors of HO-1 without cytotoxic effects; among them, most are chemicals present in plants used as food, flavoring, and medicine. Here we discuss some naturally derived compounds involved in HO-1 induction, their impact in the immune response modulation, and the beneficial effect in diverse autoimmune disorders. We conclude that the use of some compounds from natural sources able to induce HO-1 is an attractive lifestyle towards promoting human health. This review opens a new outlook on the investigation of naturally derived HO-1 inducers, mainly concerning to autoimmunity.
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Publications found: 0

Since 1952

Total publications
4790
Total citations
91615
Citations per publication
19.13
Average publications per year
64.73
Average authors per publication
6.01
h-index
105
Metrics description

Top-30

Fields of science

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Condensed Matter Physics, 442, 9.23%
General Medicine, 387, 8.08%
General Physics and Astronomy, 272, 5.68%
Ecology, Evolution, Behavior and Systematics, 248, 5.18%
Biochemistry, 246, 5.14%
Cell Biology, 240, 5.01%
General Materials Science, 239, 4.99%
Molecular Biology, 206, 4.3%
Plant Science, 206, 4.3%
Electronic, Optical and Magnetic Materials, 193, 4.03%
General Chemistry, 188, 3.92%
Mechanics of Materials, 173, 3.61%
Mechanical Engineering, 168, 3.51%
Analytical Chemistry, 160, 3.34%
Nuclear and High Energy Physics, 159, 3.32%
Ecology, 152, 3.17%
Multidisciplinary, 144, 3.01%
Genetics, 142, 2.96%
Physical and Theoretical Chemistry, 139, 2.9%
Food Science, 126, 2.63%
Physiology, 124, 2.59%
Materials Chemistry, 121, 2.53%
Agronomy and Crop Science, 114, 2.38%
Earth-Surface Processes, 111, 2.32%
Instrumentation, 103, 2.15%
Animal Science and Zoology, 100, 2.09%
Electrical and Electronic Engineering, 97, 2.03%
Spectroscopy, 88, 1.84%
Atomic and Molecular Physics, and Optics, 87, 1.82%
General Engineering, 83, 1.73%
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With other organizations

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With foreign organizations

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With other countries

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USA, 587, 12.25%
Chile, 370, 7.72%
Spain, 337, 7.04%
France, 230, 4.8%
Germany, 226, 4.72%
Brazil, 184, 3.84%
United Kingdom, 160, 3.34%
Canada, 131, 2.73%
Italy, 126, 2.63%
Colombia, 115, 2.4%
Australia, 107, 2.23%
Mexico, 79, 1.65%
China, 73, 1.52%
Switzerland, 70, 1.46%
Uruguay, 41, 0.86%
Peru, 40, 0.84%
Belgium, 39, 0.81%
Czech Republic, 39, 0.81%
Japan, 33, 0.69%
Netherlands, 31, 0.65%
Republic of Korea, 31, 0.65%
Austria, 29, 0.61%
Sweden, 26, 0.54%
Russia, 24, 0.5%
Denmark, 22, 0.46%
Portugal, 21, 0.44%
Venezuela, 21, 0.44%
Ecuador, 21, 0.44%
Ireland, 20, 0.42%
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  • We do not take into account publications without a DOI.
  • Statistics recalculated daily.
  • Publications published earlier than 1952 are ignored in the statistics.
  • The horizontal charts show the 30 top positions.
  • Journals quartiles values are relevant at the moment.