Todd Pearson
Impact in
- Virology top 5%
- HIV Research and Treatment
- Immunology top 5%
- T-cell and B-cell Immunology
Papers in
- Immunology 13
- T-cell and B-cell Immunology 13
- Genetics 14
- Diabetes and associated disorders 12
- Animal Genetics and Reproduction 2
- Co-authors
- Dale L. Greiner (25 shared papers)Leonard D. Shultz (20 shared papers)Aldo A. Rossini (20 shared papers)Bruce Gott (4 shared papers)Joseph C. Laning (3 shared papers)Oded Foreman (3 shared papers)Lisa M. Burzenski (3 shared papers)William L. Fodor (2 shared papers)
- Journals
- The Journal of Immunology (5 papers)Annals of the New York Academy of Sciences (5 papers)Diabetes (3 papers)PLoS ONE (2 papers)Clinical & Experimental Immunology (2 papers)
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Todd Pearson
28 papers receiving 2k citations
Peers
Comparison fields: 5 of 72
- Virology 192
- Immunology 514
- Hematology 323
- Genetics 409
- Transplantation 45
Countries citing papers authored by Todd Pearson
This map shows the geographic impact of Todd Pearson'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 Todd Pearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd Pearson more than expected).
Fields of papers citing papers by Todd Pearson
This network shows the impact of papers produced by Todd Pearson. 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 Todd Pearson. The network helps show where Todd Pearson may publish in the future.
Co-authors
The 25 scholars most cited alongside Todd Pearson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 497 | |
| 2 | 2009 | 325 | |
| 3 | 2008 | 181 | |
| 4 | 2008 | 178 | |
| 5 | 2007 | 145 | |
| 6 | 2009 | 118 | |
| 7 | 2008 | 94 | |
| 8 | 2012 | 60 | |
| 9 | 2003 | 59 | |
| 10 | 2007 | 55 | |
| 11 | 2003 | 45 | |
| 12 | 2008 | 43 | |
| 13 | 2007 | 39 | |
| 14 | 2008 | 35 | |
| 15 | 2003 | 24 | |
| 16 | 2006 | 24 | |
| 17 | 2007 | 22 | |
| 18 | 2004 | 21 | |
| 19 | 1999 | 20 | |
| 20 | 2006 | 20 |
About Todd Pearson
Todd Pearson is a scholar working on Immunology, Genetics, Surgery, Hematology and Transplantation, having authored 28 papers that have together received 2.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (13 papers), Diabetes and associated disorders (12 papers), Pancreatic function and diabetes (7 papers), Xenotransplantation and immune response (6 papers), Hematopoietic Stem Cell Transplantation (5 papers), Animal Genetics and Reproduction (2 papers), Transplantation: Methods and Outcomes (2 papers) and RNA Interference and Gene Delivery (1 paper). The work is most often cited by research in Virology (192 citations), Immunology (514 citations), Hematology (323 citations), Genetics (409 citations) and Transplantation (45 citations). Todd Pearson has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Dale L. Greiner, Leonard D. Shultz, Aldo A. Rossini, Bruce Gott, Joseph C. Laning, Oded Foreman, Lisa M. Burzenski, William L. Fodor, Jean Leif and Michael A. Brehm. Their work appears in journals such as The Journal of Immunology, Annals of the New York Academy of Sciences, Diabetes, PLoS ONE and Clinical & Experimental Immunology.
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.