Gemma Comes
Impact in
- Biological Psychiatry top 10%
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Physiology 12
- Alzheimer's disease research and treatments 8
- Adipose Tissue and Metabolism 4
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- Trace Elements in Health 7
- Co-authors
- Juan Hidalgo (27 shared papers)Mercedes Giralt (19 shared papers)Beatriz Ferrer (6 shared papers)Amalia Molinero (13 shared papers)Albert Quintana (7 shared papers)Jørgen F. P. Wojtaszewski (1 shared paper)Lotte Leick (1 shared paper)Ylva Hellsten (1 shared paper)
- Journals
- Glia (3 papers)Brain Behavior and Immunity (3 papers)Cellular and Molecular Life Sciences (2 papers)Cells (2 papers)Journal of Neuroendocrinology (1 paper)
- Partner nations
- SpainAustraliaUnited States
In The Last Decade
Gemma Comes
28 papers receiving 929 citations
Peers
Comparison fields: 5 of 90
- Biological Psychiatry 45
- Neurology 134
- Physiology 366
- Rehabilitation 84
- Behavioral Neuroscience 31
Countries citing papers authored by Gemma Comes
This map shows the geographic impact of Gemma Comes'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 Gemma Comes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gemma Comes more than expected).
Fields of papers citing papers by Gemma Comes
This network shows the impact of papers produced by Gemma Comes. 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 Gemma Comes. The network helps show where Gemma Comes may publish in the future.
Co-authors
The 25 scholars most cited alongside Gemma Comes, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 208 | |
| 2 | 2001 | 99 | |
| 3 | 2012 | 82 | |
| 4 | 2011 | 58 | |
| 5 | 2011 | 57 | |
| 6 | 2012 | 46 | |
| 7 | 2013 | 42 | |
| 8 | 2017 | 31 | |
| 9 | 2019 | 30 | |
| 10 | 2019 | 29 | |
| 11 | 2014 | 26 | |
| 12 | 2012 | 24 | |
| 13 | 2016 | 23 | |
| 14 | 2022 | 22 | |
| 15 | 2016 | 20 | |
| 16 | 2006 | 20 | |
| 17 | 2020 | 19 | |
| 18 | 2018 | 18 | |
| 19 | 2011 | 17 | |
| 20 | 2020 | 15 |
About Gemma Comes
Gemma Comes is a scholar working on Physiology, Nutrition and Dietetics, Molecular Biology, Health, Toxicology and Mutagenesis and Epidemiology, having authored 28 papers that have together received 950 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (8 papers), Trace Elements in Health (7 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Heavy Metal Exposure and Toxicity (5 papers), Multiple Sclerosis Research Studies (4 papers), Adipose Tissue and Metabolism (4 papers) and Exercise and Physiological Responses (3 papers). The work is most often cited by research in Biological Psychiatry (45 citations), Neurology (134 citations), Physiology (366 citations), Rehabilitation (84 citations) and Behavioral Neuroscience (31 citations). Gemma Comes has collaborated with scholars based in Spain, Australia and United States. Frequent co-authors include Juan Hidalgo, Mercedes Giralt, Beatriz Ferrer, Amalia Molinero, Albert Quintana, Jørgen F. P. Wojtaszewski, Lotte Leick, Ylva Hellsten, Henriette Pilegaard and Kristian Kiilerich. Their work appears in journals such as Glia, Brain Behavior and Immunity, Cellular and Molecular Life Sciences, Cells and Journal of Neuroendocrinology.
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.