Daniel Rodríguez‐Pinto
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Genetics top 10%
- Diabetes and associated disorders
Papers in
-
- Immune Cell Function and Interaction 6
- Immunotherapy and Immune Responses 4
- T-cell and B-cell Immunology 4
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- Research on Leishmaniasis Studies 3
- Co-authors
- F. Susan Wong (3 shared papers)Wen Li (3 shared papers)Octavian Henegariu (2 shared papers)José Moreno (1 shared paper)Changyun Hu (1 shared paper)Mark J. Shlomchik (1 shared paper)Wei Du (1 shared paper)Anupama Ahuja (1 shared paper)
- Journals
- BMC Infectious Diseases (1 paper)Journal of Leukocyte Biology (1 paper)Cellular Immunology (1 paper)Clinical Immunology (1 paper)PLoS neglected tropical diseases (1 paper)
- Partner nations
- United StatesUnited KingdomEcuador
In The Last Decade
Daniel Rodríguez‐Pinto
12 papers receiving 983 citations
Peers
Comparison fields: 5 of 80
- Immunology 462
- Genetics 262
- Endocrinology, Diabetes and Metabolism 129
- Cancer Research 76
- Transplantation 13
Countries citing papers authored by Daniel Rodríguez‐Pinto
This map shows the geographic impact of Daniel Rodríguez‐Pinto'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 Daniel Rodríguez‐Pinto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Rodríguez‐Pinto more than expected).
Fields of papers citing papers by Daniel Rodríguez‐Pinto
This network shows the impact of papers produced by Daniel Rodríguez‐Pinto. 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 Daniel Rodríguez‐Pinto. The network helps show where Daniel Rodríguez‐Pinto may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Rodríguez‐Pinto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 332 | |
| 2 | 2005 | 229 | |
| 3 | 2007 | 101 | |
| 4 | 2005 | 83 | |
| 5 | 2008 | 65 | |
| 6 | 2011 | 53 | |
| 7 | 2012 | 33 | |
| 8 | 2009 | 32 | |
| 9 | 2008 | 24 | |
| 10 | 2014 | 23 | |
| 11 | 2017 | 11 | |
| 12 | 2024 | 8 | |
| 13 | 2025 | 0 |
About Daniel Rodríguez‐Pinto
Daniel Rodríguez‐Pinto is a scholar working on Immunology, Public Health, Environmental and Occupational Health, Infectious Diseases, Molecular Biology and Epidemiology, having authored 13 papers that have together received 994 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (4 papers), T-cell and B-cell Immunology (4 papers), Research on Leishmaniasis Studies (3 papers), COVID-19 Clinical Research Studies (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Eosinophilic Disorders and Syndromes (1 paper). The work is most often cited by research in Immunology (462 citations), Genetics (262 citations), Endocrinology, Diabetes and Metabolism (129 citations), Cancer Research (76 citations) and Transplantation (13 citations). Daniel Rodríguez‐Pinto has collaborated with scholars based in United States, United Kingdom and Ecuador. Frequent co-authors include F. Susan Wong, Wen Li, Octavian Henegariu, José Moreno, Changyun Hu, Mark J. Shlomchik, Wei Du, Anupama Ahuja, Kathryn N. Phoenix and Kevin P. Claffey. Their work appears in journals such as BMC Infectious Diseases, Journal of Leukocyte Biology, Cellular Immunology, Clinical Immunology and PLoS neglected tropical diseases.
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.