Jorge Iván Gámez-Nava
- Rheumatology top 1%
- Immunology top 10%
- Epidemiology top 10%
- Molecular Biology
- Pathology and Forensic Medicine top 5%
- Co-authors
- Laura González-LópezMario Salazar-PáramoErnesto Germán Cardona-MuñózMaría E. Suarez‐AlmazorMónica Vázquez-Del MercadoAraceli García-GonzálezCésar Ramos-RemusAlberto Daniel Rocha-Muñoz
- Topics
- Rheumatoid Arthritis Research and Therapies (45 papers)Systemic Lupus Erythematosus Research (26 papers)Spondyloarthritis Studies and Treatments (16 papers)
- Cited by
- RheumatologyImmunologyHematology
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- MexicoUnited StatesSpain
In The Last Decade
Jorge Iván Gámez-Nava
97 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 101
- Rheumatology 916
- Immunology 388
- Epidemiology 344
- Molecular Biology 259
- Pathology and Forensic Medicine 234
Countries citing papers authored by Jorge Iván Gámez-Nava
This map shows the geographic impact of Jorge Iván Gámez-Nava'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 Jorge Iván Gámez-Nava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorge Iván Gámez-Nava more than expected).
Fields of papers citing papers by Jorge Iván Gámez-Nava
This network shows the impact of papers produced by Jorge Iván Gámez-Nava. 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 Jorge Iván Gámez-Nava. The network helps show where Jorge Iván Gámez-Nava may publish in the future.
Co-authorship network of co-authors of Jorge Iván Gámez-Nava
This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Iván Gámez-Nava. A scholar is included among the top collaborators of Jorge Iván Gámez-Nava 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 Jorge Iván Gámez-Nava. Jorge Iván Gámez-Nava 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | 4 | |
| 12 | 0 | |
| 13 | 6 | |
| 14 | 10 | |
| 15 | 9 | |
| 16 | 12 | |
| 17 | 5 | |
| 18 | 7 | |
| 19 | 17 | |
| 20 | 28 |
About Jorge Iván Gámez-Nava
Jorge Iván Gámez-Nava is a scholar working on Rheumatology, Hematology and Orthopedics and Sports Medicine, having authored 107 papers that have together received 1.8k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (45 papers), Systemic Lupus Erythematosus Research (26 papers) and Spondyloarthritis Studies and Treatments (16 papers). The work is most often cited by research in Rheumatology (916 citations), Immunology (388 citations) and Hematology (197 citations). Jorge Iván Gámez-Nava has collaborated with scholars based in Mexico, United States and Spain. Frequent co-authors include Laura González-López, Mario Salazar-Páramo, Ernesto Germán Cardona-Muñóz, María E. Suarez‐Almazor, Mónica Vázquez-Del Mercado, Araceli García-González, César Ramos-Remus, Alberto Daniel Rocha-Muñoz, José Francisco Muñóz-Valle and Gian S. Jhangri. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.