Eva Tomás
Impact in
- Epidemiology top 2%
- Adipokines, Inflammation, and Metabolic Diseases
- Liver Disease Diagnosis and Treatment
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- Diabetes Treatment and Management
Papers in
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- Diabetes Treatment and Management 8
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- Cellular transport and secretion 5
- Caveolin-1 and cellular processes 1
- Co-authors
- Neil B. Ruderman (10 shared papers)Asish K. Saha (6 shared papers)Tsu‐Shuen Tsao (4 shared papers)Harvey F. Lodish (3 shared papers)Heather E. Murrey (2 shared papers)Joel Francis Habener (7 shared papers)Samar I. Itani (1 shared paper)Cheng Cheng Zhang (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Endocrinology (2 papers)Diabetologia (2 papers)Diabetes (2 papers)Regulatory Peptides (2 papers)
- Partner nations
- United StatesSpainGermany
In The Last Decade
Eva Tomás
27 papers receiving 3.2k citations
Eva Tomás's Hit Papers
Peers
Comparison fields: 5 of 86
- Epidemiology 1.2k
- Endocrinology, Diabetes and Metabolism 491
- Endocrine and Autonomic Systems 144
- Molecular Biology 1k
- Physiology 373
Countries citing papers authored by Eva Tomás
This map shows the geographic impact of Eva Tomás's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eva Tomás with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Tomás more than expected).
Fields of papers citing papers by Eva Tomás
This network shows the impact of papers produced by Eva Tomás. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eva Tomás. The network helps show where Eva Tomás may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Tomás, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Enhanced muscle fat oxidation and glucose transport by ACRP30 globular domain: Acetyl–CoA carboxylase inhibition and AMP-activated protein kinase activation Hit paper breakdown → | 2002 | 823 |
| 2 | 2005 | 549 | |
| 3 | 2003 | 421 | |
| 4 | 2002 | 251 | |
| 5 | 2006 | 246 | |
| 6 | 2002 | 135 | |
| 7 | 2009 | 114 | |
| 8 | 2000 | 91 | |
| 9 | 2011 | 90 | |
| 10 | 1999 | 70 | |
| 11 | 2004 | 58 | |
| 12 | 1996 | 52 | |
| 13 | 2001 | 51 | |
| 14 | 2015 | 49 | |
| 15 | 2010 | 45 | |
| 16 | 2015 | 43 | |
| 17 | 1997 | 40 | |
| 18 | 2010 | 40 | |
| 19 | 2011 | 40 | |
| 20 | 2002 | 28 |
About Eva Tomás
Eva Tomás is a scholar working on Endocrinology, Diabetes and Metabolism, Cell Biology, Endocrine and Autonomic Systems, Molecular Biology and Epidemiology, having authored 27 papers that have together received 3.3k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (11 papers), Diabetes Treatment and Management (8 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Cellular transport and secretion (5 papers), Regulation of Appetite and Obesity (3 papers), Adipose Tissue and Metabolism (2 papers), Folate and B Vitamins Research (1 paper) and Caveolin-1 and cellular processes (1 paper). The work is most often cited by research in Epidemiology (1.2k citations), Endocrinology, Diabetes and Metabolism (491 citations), Endocrine and Autonomic Systems (144 citations), Molecular Biology (1k citations) and Physiology (373 citations). Eva Tomás has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Neil B. Ruderman, Asish K. Saha, Tsu‐Shuen Tsao, Harvey F. Lodish, Heather E. Murrey, Joel Francis Habener, Samar I. Itani, Cheng Cheng Zhang, Violeta Stanojevic and Christopher Hug. Their work appears in journals such as Journal of Biological Chemistry, Endocrinology, Diabetologia, Diabetes and Regulatory Peptides.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.