Gabriel Fernandes

6.1k citations
118 papers · 4.8k indexed · h-index 41
Topics
Fatty Acid Research and Health (39 papers)Cholesterol and Lipid Metabolism (15 papers)Adipose Tissue and Metabolism (12 papers)

In The Last Decade

Gabriel Fernandes

117 papers receiving 4.6k citations

Peers

Gabriel Fernandes
Comparison fields: 5 of 142
  • Nutrition and Dietetics 1.9k
  • Physiology 1.4k
  • Molecular Biology 1.3k
  • Immunology 628
  • Surgery 564
Replace Arunabh Bhattacharya with:
Arunabh Bhattacharya United States
David Pan Australia
Dongryeol Ryu South Korea
José María Moreno‐Navarrete Spain
Takafumi Suzuki Japan
Jennifer Rieusset France
Seiichi Oyadomari Japan
Hamid M. Said United States
René L. Jacobs Canada
Akihito Ishigami Japan
Gabriel Fernandes relative to Arunabh Bhattacharya United States Arunabh Bhattacharya's profile →
Citations per field
00.5×4.5×
Arunabh Bhattacharya · 1×
Citations per year

Countries citing papers authored by Gabriel Fernandes

Since Specialization
Citations

This map shows the geographic impact of Gabriel Fernandes'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 Gabriel Fernandes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel Fernandes more than expected).

Fields of papers citing papers by Gabriel Fernandes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gabriel Fernandes. 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 Gabriel Fernandes. The network helps show where Gabriel Fernandes may publish in the future.

Co-authorship network of co-authors of Gabriel Fernandes

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Fernandes. A scholar is included among the top collaborators of Gabriel Fernandes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gabriel Fernandes. Gabriel Fernandes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 28
3 9
4 7
5 15
6 4
7 39
8 5
9 27
10 41
11 31
12 39
13 55
14 48
15 44
16 148
17 24
18 29
19 11
20 6

About Gabriel Fernandes

Gabriel Fernandes is a scholar working on Aging, Nutrition and Dietetics and Physiology, having authored 118 papers that have together received 4.8k indexed citations. Recurring topics across this work include Fatty Acid Research and Health (39 papers), Cholesterol and Lipid Metabolism (15 papers) and Adipose Tissue and Metabolism (12 papers). The work is most often cited by research in Aging (406 citations), Nutrition and Dietetics (1.9k citations) and Biochemistry (454 citations). Gabriel Fernandes has collaborated with scholars based in United States, Brazil and Australia. Frequent co-authors include Arunabh Bhattacharya, Robert A. Good, Dongxu Sun, Bysani Chandrasekar, Jameela Banu, Jaya T. Venkatraman, Mohammed M. Rahman, Edmond J. Yunis, Richard Lawrence and Ganesh V. Halade. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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