Thomas M. Weiser

774 citations
21 papers · 583 · h-index 10

Impact in

Papers in

    • Data-Driven Disease Surveillance 2
    • Influenza Virus Research Studies 2
    • Hepatitis B Virus Studies 2
    • Liver Disease Diagnosis and Treatment 2
    • Public Health Policies and Education 3
    • Food Security and Health in Diverse Populations 2

Thomas M. Weiser

19 papers receiving 528 citations

Peers

Thomas M. Weiser
Comparison fields: 5 of 78
  • Health 77
  • Modeling and Simulation 27
  • Infectious Diseases 104
  • Epidemiology 178
  • Endocrinology 24
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Citations per year

Countries citing papers authored by Thomas M. Weiser

Since Specialization
Citations

This map shows the geographic impact of Thomas M. Weiser'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 M. Weiser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas M. Weiser more than expected).

Fields of papers citing papers by Thomas M. Weiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas M. Weiser, 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 M. Weiser Line = papers co-authored together Thomas M. Weiser links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020195
2 202269
3 200962
4 200959
5 201854
6 200946
7 201523
8 200713
9
Including self-reported race to improve cancer surveillance data for American Indians and Alaska Natives in Washington state.
201012
10 201511
11 20206
12 20165
13 20185
14 20175
15 20185
16 20204
17 20204
18 20223
19 20192
20 20220

About Thomas M. Weiser

Thomas M. Weiser is a scholar working on Epidemiology, General Health Professions, Hepatology, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 21 papers that have together received 583 indexed citations. Recurring topics across this work include Public Health Policies and Education (3 papers), Data-Driven Disease Surveillance (2 papers), Food Security and Health in Diverse Populations (2 papers), Influenza Virus Research Studies (2 papers), Viral Infections and Outbreaks Research (2 papers), Hepatitis B Virus Studies (2 papers), Hepatitis C virus research (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Health (77 citations), Modeling and Simulation (27 citations), Infectious Diseases (104 citations), Epidemiology (178 citations) and Endocrinology (24 citations). Thomas M. Weiser has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Victoria Warren‐Mears, Sujata Joshi, Bao‐Ping Zhu, Diana M. Bensyl, Mei‐Hsiang Lin, Amy V. Groom, Ralph T. Bryan, Megan J. Hoopes, Cheryl L. Mason and Anna B. Bowen. Their work appears in journals such as MMWR Morbidity and Mortality Weekly Report, Public Health Reports, The Pediatric Infectious Disease Journal, Annals of Epidemiology and Health Services Research.

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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