Fernando E. García‐Arroyo
- Nephrology top 1%
- Molecular Biology
- Pathology and Forensic Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Epidemiology top 10%
- Co-authors
- Laura Gabriela Sánchez‐LozadaEdilia TapiaRichard J. JohnsonMiguel A. LanaspaHoracio Osorio‐AlonsoVirgilia SotoMagdalena Cristóbal-GarcíaJosé Pedraza-Chaverrı́
- Topics
- Diet, Metabolism, and Disease (14 papers)Gout, Hyperuricemia, Uric Acid (10 papers)Garlic and Onion Studies (8 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- MexicoUnited StatesFrance
In The Last Decade
Fernando E. García‐Arroyo
43 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 102
- Nephrology 622
- Molecular Biology 497
- Pathology and Forensic Medicine 299
- Endocrinology, Diabetes and Metabolism 295
- Epidemiology 282
Countries citing papers authored by Fernando E. García‐Arroyo
This map shows the geographic impact of Fernando E. García‐Arroyo'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 Fernando E. García‐Arroyo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando E. García‐Arroyo more than expected).
Fields of papers citing papers by Fernando E. García‐Arroyo
This network shows the impact of papers produced by Fernando E. García‐Arroyo. 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 Fernando E. García‐Arroyo. The network helps show where Fernando E. García‐Arroyo may publish in the future.
Co-authorship network of co-authors of Fernando E. García‐Arroyo
This figure shows the co-authorship network connecting the top 25 collaborators of Fernando E. García‐Arroyo. A scholar is included among the top collaborators of Fernando E. García‐Arroyo 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 Fernando E. García‐Arroyo. Fernando E. García‐Arroyo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 4 | |
| 4 | 15 | |
| 5 | 31 | |
| 6 | 28 | |
| 7 | 22 | |
| 8 | 70 | |
| 9 | 5 | |
| 10 | 14 | |
| 11 | 21 | |
| 12 | 67 | |
| 13 | 25 | |
| 14 | 15 | |
| 15 | 108 | |
| 16 | 32 | |
| 17 | 44 | |
| 18 | 22 | |
| 19 | 48 | |
| 20 | 3 |
About Fernando E. García‐Arroyo
Fernando E. García‐Arroyo is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Molecular Medicine, having authored 44 papers that have together received 1.6k indexed citations. Recurring topics across this work include Diet, Metabolism, and Disease (14 papers), Gout, Hyperuricemia, Uric Acid (10 papers) and Garlic and Onion Studies (8 papers). The work is most often cited by research in Nephrology (622 citations), Molecular Medicine (95 citations) and Endocrinology, Diabetes and Metabolism (295 citations). Fernando E. García‐Arroyo has collaborated with scholars based in Mexico, United States and France. Frequent co-authors include Laura Gabriela Sánchez‐Lozada, Edilia Tapia, Richard J. Johnson, Miguel A. Lanaspa, Horacio Osorio‐Alonso, Virgilia Soto, Magdalena Cristóbal-García, José Pedraza-Chaverrı́, Abraham S. Arellano‐Buendía and Carlos A. Roncal-Jiménez. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.
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.