Gemma Comes

1k citations
28 papers · 872 · h-index 18

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Exercise and Physiological Responses

Papers in

Gemma Comes

27 papers receiving 850 citations

Peers

Gemma Comes
Comparison fields: 5 of 72
  • Neurology 111
  • Rehabilitation 71
  • Biological Psychiatry 13
  • Endocrine and Autonomic Systems 53
  • Physiology 222
Replace Carlos K. Katashima with:
Carlos K. Katashima Brazil
Jiling Liang China
Fernanda Hansen Brazil
Seyed Morteza Karimian Iran
Renata Padilha Guedes Brazil
Yeong‐Bin Im United States
Mercé Giralt Spain
Rahul Babulal Dange United States
Ayanabha Chakraborti United States
Amin Mokhtari‐Zaer Iran
Gemma Comes relative to Carlos K. Katashima Brazil Carlos K. Katashima's profile →
Citations per field
00.5×2×3.3×
Carlos K. Katashima · 1×
Citations per year

Countries citing papers authored by Gemma Comes

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Gemma Comes Line = papers co-authored together Gemma Comes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007204
2 201287
3 201159
4 201157
5 201247
6 201343
7 201732
8 201932
9 201929
10 202229
11 201427
12 201224
13 201624
14 200620
15 202020
16 201619
17 201118
18 201818
19 202017
20 201913

About Gemma Comes

Gemma Comes is a scholar working on Physiology, Endocrine and Autonomic Systems, Neurology, Pathology and Forensic Medicine and Neurology, having authored 28 papers that have together received 872 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (10 papers), Regulation of Appetite and Obesity (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Multiple Sclerosis Research Studies (5 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Neurology (111 citations), Rehabilitation (71 citations), Biological Psychiatry (13 citations), Endocrine and Autonomic Systems (53 citations) and Physiology (222 citations). Gemma Comes has collaborated with scholars based in Spain, Australia and Switzerland. Frequent co-authors include Juan Hidalgo, Mercedes Giralt, Beatriz Ferrer, Albert Quintana, Amalia Molinero, Jørgen F. P. Wojtaszewski, Ylva Hellsten, Henriette Pilegaard, Kristian Kiilerich and Lotte Leick. Their work appears in journals such as Brain Behavior and Immunity, Glia, Cellular and Molecular Life Sciences, Cells and Behavioural Brain Research.

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.

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