Thomas Dobbs

1.1k citations
40 papers · 612 · h-index 14

Impact in

  • Toxicology top 2%
    • Forensic Toxicology and Drug Analysis
    • Listeria monocytogenes in Food Safety
    • Microbial Inactivation Methods

Papers in

Thomas Dobbs

38 papers receiving 579 citations

Peers

Thomas Dobbs
Comparison fields: 5 of 93
  • Toxicology 70
  • Biotechnology 105
  • Infectious Diseases 116
  • Food Science 110
  • Obstetrics and Gynecology 32
Replace Mary E Temple with:
Mary E Temple United States
Jin Lee South Korea
Lori Saathoff-Huber United States
Emma C. L. Marrs United Kingdom
Rachida Soulaymani Bencheikh Morocco
David Greenwood United Kingdom
Soetjipto Soetjipto Indonesia
Khalid Eljaaly Saudi Arabia
Zafar Ahmed Malaysia
LaTonia C. Richardson United States
Thomas Dobbs relative to Mary E Temple United States Mary E Temple's profile →
Citations per field
00.5×6.4×
Mary E Temple · 1×
Citations per year

Countries citing papers authored by Thomas Dobbs

Since Specialization
Citations

This map shows the geographic impact of Thomas 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 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 Dobbs more than expected).

Fields of papers citing papers by Thomas Dobbs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas 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 Dobbs. The network helps show where Thomas Dobbs may publish in the future.

Co-authors

The 25 scholars most cited alongside Thomas Dobbs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas Dobbs Line = papers co-authored together Thomas Dobbs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998126
2 200651
3 201548
4 200043
5 199842
6 201537
7 202135
8 202228
9 201721
10 200619
11 201719
12
Predictors of smear-negative pulmonary tuberculosis in HIV-infected patients, Battambang, Cambodia.
200916
13 201415
14 201815
15 199711
16 20238
17 20208
18 20176
19 20136
20 20075

About Thomas Dobbs

Thomas Dobbs is a scholar working on Infectious Diseases, Oncology, Epidemiology, Pulmonary and Respiratory Medicine and Toxicology, having authored 40 papers that have together received 612 indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (4 papers), Syphilis Diagnosis and Treatment (4 papers), Lung Cancer Treatments and Mutations (4 papers), Cannabis and Cannabinoid Research (3 papers), Tuberculosis Research and Epidemiology (3 papers), Lung Cancer Research Studies (3 papers), Infectious Diseases and Tuberculosis (3 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Toxicology (70 citations), Biotechnology (105 citations), Infectious Diseases (116 citations), Food Science (110 citations) and Obstetrics and Gynecology (32 citations). Thomas Dobbs has collaborated with scholars based in United States and Slovakia. Frequent co-authors include Robert D. Cox, Robert Galli, Risa M. Webb, Daniel R. Goldstein, Mukesh Patel, Dean Bodager, Lyn Finelli, Ken B. Waites, Timothy J. Barrett and David L. Swerdlow. Their work appears in journals such as Lung Cancer, JAMA Network Open, MMWR Morbidity and Mortality Weekly Report, JAMA and PLoS ONE.

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.

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