Javier T. Gonzalez
- Physiology top 1%
- Cell Biology top 1%
- Public Health, Environmental and Occupational Health top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Complementary and alternative medicine top 1%
- Co-authors
- James A. BettsEmma StevensonLuc J. C. van LoonCas J. FuchsDylan ThompsonPenny RumboldAaron HengistJean‐Philippe Walhin
- Topics
- Diet and metabolism studies (64 papers)Muscle metabolism and nutrition (63 papers)Adipose Tissue and Metabolism (28 papers)
- Cited by
- PhysiologyCell BiologyRehabilitation
- Journals
- American Journal of Clinical NutritionThe Journal of Clinical Endocrinology & MetabolismThe Journal of Physiology
- Partner nations
- United KingdomAustraliaNetherlands
In The Last Decade
Javier T. Gonzalez
132 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 108
- Physiology 1.4k
- Cell Biology 860
- Public Health, Environmental and Occupational Health 414
- Endocrinology, Diabetes and Metabolism 403
- Complementary and alternative medicine 306
Countries citing papers authored by Javier T. Gonzalez
This map shows the geographic impact of Javier T. Gonzalez'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 Javier T. Gonzalez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier T. Gonzalez more than expected).
Fields of papers citing papers by Javier T. Gonzalez
This network shows the impact of papers produced by Javier T. Gonzalez. 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 Javier T. Gonzalez. The network helps show where Javier T. Gonzalez may publish in the future.
Co-authorship network of co-authors of Javier T. Gonzalez
This figure shows the co-authorship network connecting the top 25 collaborators of Javier T. Gonzalez. A scholar is included among the top collaborators of Javier T. Gonzalez 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 Javier T. Gonzalez. Javier T. Gonzalez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 3 | |
| 10 | 1 | |
| 11 | 82 | |
| 12 | 9 | |
| 13 | 1 | |
| 14 | 29 | |
| 15 | 21 | |
| 16 | 1 | |
| 17 | 36 | |
| 18 | 39 | |
| 19 | 24 | |
| 20 | 64 |
About Javier T. Gonzalez
Javier T. Gonzalez is a scholar working on Cell Biology, Physiology and Endocrine and Autonomic Systems, having authored 141 papers that have together received 2.4k indexed citations. Recurring topics across this work include Diet and metabolism studies (64 papers), Muscle metabolism and nutrition (63 papers) and Adipose Tissue and Metabolism (28 papers). The work is most often cited by research in Physiology (1.4k citations), Cell Biology (860 citations) and Rehabilitation (300 citations). Javier T. Gonzalez has collaborated with scholars based in United Kingdom, Australia and Netherlands. Frequent co-authors include James A. Betts, Emma Stevenson, Luc J. C. van Loon, Cas J. Fuchs, Dylan Thompson, Penny Rumbold, Aaron Hengist, Jean‐Philippe Walhin, Harry Smith and Françoise Koumanov. Their work appears in journals such as American Journal of Clinical Nutrition, The Journal of Clinical Endocrinology & Metabolism and The Journal of Physiology.
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.