Thomas E. Dobbs
Impact in
- Toxicology top 2%
- Forensic Toxicology and Drug Analysis
- Biotechnology top 5%
- Listeria monocytogenes in Food Safety
Papers in
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- Tuberculosis Research and Epidemiology 5
-
- Forensic Toxicology and Drug Analysis 4
- Co-authors
- Risa M. Webb (4 shared papers)Robert D. Cox (4 shared papers)Robert L. Galli (4 shared papers)Ken B. Waites (1 shared paper)Alan M. Stamm (1 shared paper)Daniel R. Goldstein (1 shared paper)Craig J. Hoesley (1 shared paper)Mukesh Patel (1 shared paper)
- Journals
- MMWR Morbidity and Mortality Weekly Report (4 papers)JAMA Network Open (3 papers)Lung Cancer (3 papers)Emerging infectious diseases (2 papers)JAMA (2 papers)
- Partner nations
- United States
In The Last Decade
Thomas E. Dobbs
44 papers receiving 775 citations
Peers
Comparison fields: 5 of 101
- Toxicology 84
- Biotechnology 116
- Infectious Diseases 224
- Food Science 130
- Obstetrics and Gynecology 37
Countries citing papers authored by Thomas E. Dobbs
This map shows the geographic impact of Thomas E. Dobbs'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 Thomas E. Dobbs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas E. Dobbs more than expected).
Fields of papers citing papers by Thomas E. Dobbs
This network shows the impact of papers produced by Thomas E. Dobbs. 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 Thomas E. Dobbs. The network helps show where Thomas E. Dobbs may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas E. Dobbs, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 146 | |
| 2 | 2017 | 82 | |
| 3 | 2006 | 64 | |
| 4 | 2015 | 50 | |
| 5 | 1998 | 45 | |
| 6 | 2000 | 43 | |
| 7 | 2015 | 43 | |
| 8 | 2021 | 37 | |
| 9 | 2016 | 36 | |
| 10 | 2022 | 32 | |
| 11 | 2023 | 29 | |
| 12 | 2017 | 24 | |
| 13 | 2006 | 20 | |
| 14 | 2017 | 20 | |
| 15 | 2018 | 18 | |
| 16 | Predictors of smear-negative pulmonary tuberculosis in HIV-infected patients, Battambang, Cambodia. | 2009 | 17 |
| 17 | 2017 | 16 | |
| 18 | 2014 | 15 | |
| 19 | 1997 | 11 | |
| 20 | 2020 | 10 |
About Thomas E. Dobbs
Thomas E. Dobbs is a scholar working on Infectious Diseases, Toxicology, Oncology, Epidemiology and Public Health, Environmental and Occupational Health, having authored 46 papers that have together received 839 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (5 papers), Lung Cancer Research Studies (4 papers), Forensic Toxicology and Drug Analysis (4 papers), Infectious Diseases and Tuberculosis (4 papers), Syphilis Diagnosis and Treatment (4 papers), Cannabis and Cannabinoid Research (3 papers), Lung Cancer Treatments and Mutations (3 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Toxicology (84 citations), Biotechnology (116 citations), Infectious Diseases (224 citations), Food Science (130 citations) and Obstetrics and Gynecology (37 citations). Thomas E. Dobbs has collaborated with scholars based in United States. Frequent co-authors include Risa M. Webb, Robert D. Cox, Robert L. Galli, Ken B. Waites, Alan M. Stamm, Daniel R. Goldstein, Craig J. Hoesley, Mukesh Patel, Stephen A. Moser and Anita K. Highsmith. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, JAMA Network Open, Lung Cancer, Emerging infectious diseases and JAMA.
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.