Jaime Tomko

1.8k citations
25 papers · 557 · h-index 11

Impact in

    • Tuberculosis Research and Epidemiology
  • Epidemiology top 10%
    • Mycobacterium research and diagnosis
    • Pneumonia and Respiratory Infections

Papers in

    • Tuberculosis Research and Epidemiology 16
    • Mycobacterium research and diagnosis 9
    • Pneumonia and Respiratory Infections 2

Jaime Tomko

21 papers receiving 555 citations

Peers

Jaime Tomko
Comparison fields: 5 of 70
  • Infectious Diseases 415
  • Epidemiology 268
  • Immunology 113
  • Virology 25
  • Surgery 188
Replace Melissa A. Farrow with:
Melissa A. Farrow United States
Shuihua Lu China
L. James Frye United States
Chivonne Moodley United States
Christopher Janssen United States
Blas Peixoto United States
Farina Karim South Africa
Simon Blankley United Kingdom
Yourong Yang China
Dorothee Heemskerk Vietnam
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Citations per field
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Melissa A. Farrow · 1×
Citations per year

Countries citing papers authored by Jaime Tomko

Since Specialization
Citations

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

Fields of papers citing papers by Jaime Tomko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013129
2 2014100
3 201689
4 201750
5 201946
6 201829
7 201723
8 202112
9 202112
10 201912
11 202310
12 20229
13 20149
14 20178
15
Very Low Doses of Mycobacterium tuberculosis Yield Diverse Host Outcomes in Common Marmosets (Callithrix jacchus).
20167
16 20235
17 20173
18 20241
19 20241
20 20251

About Jaime Tomko

Jaime Tomko is a scholar working on Infectious Diseases, Epidemiology, Surgery, Molecular Biology and Immunology, having authored 25 papers that have together received 557 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (16 papers), Mycobacterium research and diagnosis (9 papers), Infectious Diseases and Tuberculosis (7 papers), Immune responses and vaccinations (4 papers), Advanced Chemical Sensor Technologies (3 papers), Analytical Chemistry and Chromatography (3 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Infectious Diseases (415 citations), Epidemiology (268 citations), Immunology (113 citations), Virology (25 citations) and Surgery (188 citations). Jaime Tomko has collaborated with scholars based in United States, Thailand and Netherlands. Frequent co-authors include Philana Ling Lin, L. James Frye, JoAnne L. Flynn, Pauline Maiello, Edwin Klein, Christopher Janssen, Charles A. Scanga, M. Teresa Coleman, Alexander G. White and Véronique Dartois. Their work appears in journals such as The Journal of Immunology, Infection and Immunity, Journal of Visualized Experiments, Scientific Reports and Cell Reports.

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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