Talima Pearson
Impact in
- Endocrinology top 0.5%
- Parasitology top 0.5%
- Vector-borne infectious diseases
Papers in
-
- Bacillus and Francisella bacterial research 25
- Epidemiology 31
- Burkholderia infections and melioidosis 25
- Co-authors
- Paul Keim (74 shared papers)David M. Wagner (26 shared papers)Amy J. Vogler (8 shared papers)James M. Schupp (19 shared papers)Lynn Huynh (5 shared papers)Heidie Hornstra (26 shared papers)Lance B. Price (8 shared papers)Matthew N. Van Ert (4 shared papers)
- Journals
- PLoS ONE (17 papers)mBio (7 papers)BMC Microbiology (6 papers)Journal of Clinical Microbiology (5 papers)PLoS neglected tropical diseases (5 papers)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Talima Pearson
100 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 136
- Endocrinology 590
- Parasitology 621
- Molecular Medicine 429
- Small Animals 380
- Epidemiology 1.2k
Countries citing papers authored by Talima Pearson
This map shows the geographic impact of Talima 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 Talima Pearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Talima Pearson more than expected).
Fields of papers citing papers by Talima Pearson
This network shows the impact of papers produced by Talima 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 Talima Pearson. The network helps show where Talima Pearson may publish in the future.
Co-authors
The 25 scholars most cited alongside Talima 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 103 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 375 | |
| 2 | 2004 | 267 | |
| 3 | 2011 | 237 | |
| 4 | 2004 | 215 | |
| 5 | 2000 | 170 | |
| 6 | 2009 | 146 | |
| 7 | 2009 | 138 | |
| 8 | 2003 | 105 | |
| 9 | 2013 | 102 | |
| 10 | 2013 | 97 | |
| 11 | 2006 | 95 | |
| 12 | 2009 | 93 | |
| 13 | 2017 | 90 | |
| 14 | 2010 | 90 | |
| 15 | 2012 | 89 | |
| 16 | 2019 | 82 | |
| 17 | 2009 | 81 | |
| 18 | 2017 | 79 | |
| 19 | 2021 | 76 | |
| 20 | 2011 | 76 |
About Talima Pearson
Talima Pearson is a scholar working on Molecular Biology, Epidemiology, Genetics, Parasitology and Infectious Diseases, having authored 103 papers that have together received 4.7k indexed citations. Recurring topics across this work include Burkholderia infections and melioidosis (25 papers), Bacillus and Francisella bacterial research (25 papers), Yersinia bacterium, plague, ectoparasites research (20 papers), Vector-borne infectious diseases (13 papers), Bacteriophages and microbial interactions (11 papers), Plant Pathogenic Bacteria Studies (9 papers), Leptospirosis research and findings (9 papers) and Brucella: diagnosis, epidemiology, treatment (7 papers). The work is most often cited by research in Endocrinology (590 citations), Parasitology (621 citations), Molecular Medicine (429 citations), Small Animals (380 citations) and Epidemiology (1.2k citations). Talima Pearson has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Paul Keim, David M. Wagner, Amy J. Vogler, James M. Schupp, Lynn Huynh, Heidie Hornstra, Lance B. Price, Matthew N. Van Ert, Jeffrey T. Foster and Richard T. Okinaka. Their work appears in journals such as PLoS ONE, mBio, BMC Microbiology, Journal of Clinical Microbiology 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.