David M. Tobin
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Infectious Diseases top 0.5%
- Tuberculosis Research and Epidemiology
Papers in
- Immunology 35
- Immune cells in cancer 12
- Aquaculture disease management and microbiota 8
- Immune Response and Inflammation 7
- Immune Cell Function and Interaction 6
-
- Tuberculosis Research and Epidemiology 24
- Co-authors
- Lalita Ramakrishnan (11 shared papers)Cornelia I. Bargmann (6 shared papers)Mark R. Cronan (13 shared papers)Rebecca W. Beerman (8 shared papers)Stefan H. Oehlers (11 shared papers)Wolfgang Liedtke (1 shared paper)Jeffrey M. Friedman (1 shared paper)Eric M. Walton (7 shared papers)
- Journals
- Cell (6 papers)Proceedings of the National Academy of Sciences (5 papers)Nature (4 papers)PLoS ONE (4 papers)Disease Models & Mechanisms (3 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
David M. Tobin
62 papers receiving 4.4k citations
David M. Tobin's Hit Papers
Peers
Comparison fields: 5 of 132
- Aging 410
- Infectious Diseases 1.6k
- Sensory Systems 338
- Immunology 1.4k
- Endocrine and Autonomic Systems 370
Countries citing papers authored by David M. Tobin
This map shows the geographic impact of David M. Tobin'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 David M. Tobin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David M. Tobin more than expected).
Fields of papers citing papers by David M. Tobin
This network shows the impact of papers produced by David M. Tobin. 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 David M. Tobin. The network helps show where David M. Tobin may publish in the future.
Co-authors
The 25 scholars most cited alongside David M. Tobin, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Host Genotype-Specific Therapies Can Optimize the Inflammatory Response to Mycobacterial Infections Hit paper breakdown → | 2012 | 420 |
| 2 | 2010 | 404 | |
| 3 | 2013 | 353 | |
| 4 | 2002 | 349 | |
| 5 | 2003 | 285 | |
| 6 | 2008 | 250 | |
| 7 | 2014 | 205 | |
| 8 | 2002 | 205 | |
| 9 | 2016 | 162 | |
| 10 | 2015 | 136 | |
| 11 | 2015 | 116 | |
| 12 | 2016 | 100 | |
| 13 | 2016 | 94 | |
| 14 | 2014 | 90 | |
| 15 | 2015 | 88 | |
| 16 | 2000 | 87 | |
| 17 | 2012 | 78 | |
| 18 | 2021 | 68 | |
| 19 | 2015 | 68 | |
| 20 | 2004 | 64 |
About David M. Tobin
David M. Tobin is a scholar working on Immunology, Infectious Diseases, Epidemiology, Molecular Biology and Cell Biology, having authored 65 papers that have together received 4.5k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (24 papers), Mycobacterium research and diagnosis (18 papers), Immune cells in cancer (12 papers), Zebrafish Biomedical Research Applications (12 papers), Infectious Diseases and Tuberculosis (9 papers), Aquaculture disease management and microbiota (8 papers), Immune Response and Inflammation (7 papers) and Immune Cell Function and Interaction (6 papers). The work is most often cited by research in Aging (410 citations), Infectious Diseases (1.6k citations), Sensory Systems (338 citations), Immunology (1.4k citations) and Endocrine and Autonomic Systems (370 citations). David M. Tobin has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Lalita Ramakrishnan, Cornelia I. Bargmann, Mark R. Cronan, Rebecca W. Beerman, Stefan H. Oehlers, Wolfgang Liedtke, Jeffrey M. Friedman, Eric M. Walton, Erin L. Peckol and John Ray. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences, Nature, PLoS ONE and Disease Models & Mechanisms.
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.