Thomas A. Kohl

10.1k citations
90 papers · 3.2k indexed · 1 hit paper · h-index 30

Impact in

Papers in

Thomas A. Kohl

85 papers receiving 3.2k citations

Hit Papers

Whole Genome Sequencing versus Traditional Genotyping for Investigation of a Mycobacterium tuberculosis Outbreak: A Longitudinal Molecular Epidemiological Study 2013 · 357 citations
3572013202620172021100200300

Peers

Thomas A. Kohl
Comparison fields: 5 of 128
  • Infectious Diseases 2.0k
  • Epidemiology 2.1k
  • Molecular Medicine 278
  • Microbiology 24
  • Small Animals 196
Replace Stefan Zimmerli with:
Stefan Zimmerli Switzerland
Gaby E. Pfyffer Switzerland
C. Rick Lyons United States
B Jones United Kingdom
S.B. Svenson Sweden
Dhruba J. SenGupta United States
Anthony A. Frank United States
Prajna Lalitha India
Raimond Lugert Germany
Igor Mokrousov Russia
Thomas A. Kohl relative to Stefan Zimmerli Switzerland Stefan Zimmerli's profile →
Citations per field
00.5×5.9×
Stefan Zimmerli · 1×
Citations per year

Countries citing papers authored by Thomas A. Kohl

Since Specialization
Citations

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

Fields of papers citing papers by Thomas A. Kohl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20249
2 20242
3 202313
4 20237
5 202238
6 202212
7 202117
8 202024
9 202012
10 201915
11 201883
12 20185
13 201833
14 201834
15 201780
16 201729
17 20179
18 2015209
19 201397
20 200937

About Thomas A. Kohl

Thomas A. Kohl is a scholar working on Infectious Diseases, Epidemiology, Microbiology, Small Animals and Endocrinology, having authored 90 papers that have together received 3.2k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (54 papers), Tuberculosis Research and Epidemiology (51 papers), Genomics and Phylogenetic Studies (13 papers), Infectious Diseases and Tuberculosis (13 papers), RNA and protein synthesis mechanisms (6 papers), Infectious Diseases and Mycology (6 papers), Bacterial Genetics and Biotechnology (5 papers) and Diagnosis and treatment of tuberculosis (4 papers). The work is most often cited by research in Infectious Diseases (2.0k citations), Epidemiology (2.1k citations), Molecular Medicine (278 citations), Microbiology (24 citations) and Small Animals (196 citations). Thomas A. Kohl has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Stefan Niemann, Matthias Merker, Patrick Beckert, Roland Diel, Daniela María Cirillo, Jörn Kalinowski, Philip Supply, Andreas Tauch, Viola Schleusener and Silke Feuerriegel. Their work appears in journals such as Journal of Clinical Microbiology, Scientific Reports, Clinical Microbiology and Infection, Emerging infectious diseases and Eurosurveillance.

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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