Michael Matos
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
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- Diabetes and associated disorders
Papers in
- Genetics 3
- Diabetes and associated disorders 2
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- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Co-authors
- Christophe Benoıst (3 shared papers)Diane Mathis (3 shared papers)Ann Herman (2 shared papers)Zhibin Chen (1 shared paper)Richard Park (2 shared papers)Michele M. Burns (1 shared paper)Michael W. Shannon (1 shared paper)Richard L. Robertson (1 shared paper)
- Journals
- The Journal of Foot & Ankle Surgery (1 paper)Journal of Business & Finance Librarianship (1 paper)PEDIATRICS (1 paper)The Journal of Experimental Medicine (1 paper)The Serials Librarian (1 paper)
- Partner nations
- United StatesSwitzerlandBrazil
In The Last Decade
Michael Matos
11 papers receiving 420 citations
Peers
Comparison fields: 5 of 85
- Immunology 235
- Genetics 158
- Library and Information Sciences 9
- Toxicology 12
- Endocrinology, Diabetes and Metabolism 27
Countries citing papers authored by Michael Matos
This map shows the geographic impact of Michael Matos'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 Michael Matos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Matos more than expected).
Fields of papers citing papers by Michael Matos
This network shows the impact of papers produced by Michael Matos. 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 Michael Matos. The network helps show where Michael Matos may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Matos, 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 | 2005 | 236 | |
| 2 | 2006 | 62 | |
| 3 | 2004 | 38 | |
| 4 | 2009 | 32 | |
| 5 | 2000 | 29 | |
| 6 | 2008 | 15 | |
| 7 | 2010 | 10 | |
| 8 | 2023 | 4 | |
| 9 | 2025 | 2 | |
| 10 | 2016 | 2 | |
| 11 | 2011 | 1 | |
| 12 | 2013 | 0 |
About Michael Matos
Michael Matos is a scholar working on Genetics, Immunology, Molecular Biology, Pathology and Forensic Medicine and Information Systems, having authored 12 papers that have together received 431 indexed citations. Recurring topics across this work include Soft tissue tumors and treatment (2 papers), Diabetes and associated disorders (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Risk and Safety Analysis (1 paper), Epilepsy research and treatment (1 paper), Library Collection Development and Digital Resources (1 paper) and Gene expression and cancer classification (1 paper). The work is most often cited by research in Immunology (235 citations), Genetics (158 citations), Library and Information Sciences (9 citations), Toxicology (12 citations) and Endocrinology, Diabetes and Metabolism (27 citations). Michael Matos has collaborated with scholars based in United States, Switzerland and Brazil. Frequent co-authors include Christophe Benoıst, Diane Mathis, Ann Herman, Zhibin Chen, Richard Park, Michele M. Burns, Michael W. Shannon, Richard L. Robertson, Cynthia C. Morton and Kerry K. Brown. Their work appears in journals such as The Journal of Foot & Ankle Surgery, Journal of Business & Finance Librarianship, PEDIATRICS, The Journal of Experimental Medicine and The Serials Librarian.
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.