Thomas A. Kohl
Impact in
- Infectious Diseases top 0.5%
- Tuberculosis Research and Epidemiology
- Epidemiology top 1%
- Mycobacterium research and diagnosis
Papers in
-
- Tuberculosis Research and Epidemiology 48
- Epidemiology 50
- Mycobacterium research and diagnosis 46
- Co-authors
- Stefan Niemann (60 shared papers)Matthias Merker (24 shared papers)Patrick Beckert (7 shared papers)Roland Diel (6 shared papers)Daniela María Cirillo (6 shared papers)Jörn Kalinowski (5 shared papers)Philip Supply (5 shared papers)Andreas Tauch (3 shared papers)
- Journals
- Journal of Clinical Microbiology (8 papers)Scientific Reports (5 papers)Emerging infectious diseases (4 papers)Clinical Microbiology and Infection (4 papers)Eurosurveillance (3 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Thomas A. Kohl
85 papers receiving 3.2k citations
Thomas A. Kohl's Hit Papers
Peers
Comparison fields: 5 of 123
- Infectious Diseases 1.9k
- Epidemiology 1.6k
- Molecular Medicine 247
- Endocrinology 134
- Microbiology 19
Countries citing papers authored by Thomas A. Kohl
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
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-authors
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.
All Works
Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Whole Genome Sequencing versus Traditional Genotyping for Investigation of a Mycobacterium tuberculosis Outbreak: A Longitudinal Molecular Epidemiological Study Hit paper breakdown → | 2013 | 359 |
| 2 | 2015 | 213 | |
| 3 | 2015 | 212 | |
| 4 | 2016 | 165 | |
| 5 | 2014 | 151 | |
| 6 | 2018 | 136 | |
| 7 | 2020 | 119 | |
| 8 | 2013 | 97 | |
| 9 | 2018 | 86 | |
| 10 | 2012 | 84 | |
| 11 | 2018 | 84 | |
| 12 | 2017 | 81 | |
| 13 | 2008 | 80 | |
| 14 | 2009 | 74 | |
| 15 | 2017 | 56 | |
| 16 | 2009 | 56 | |
| 17 | 2016 | 55 | |
| 18 | 2020 | 54 | |
| 19 | 2017 | 48 | |
| 20 | 2020 | 43 |
About Thomas A. Kohl
Thomas A. Kohl is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Surgery and Genetics, having authored 90 papers that have together received 3.3k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (48 papers), Mycobacterium research and diagnosis (46 papers), Infectious Diseases and Tuberculosis (11 papers), Genomics and Phylogenetic Studies (11 papers), Bacterial Genetics and Biotechnology (5 papers), RNA and protein synthesis mechanisms (5 papers), Infectious Diseases and Mycology (4 papers) and Spinal Dysraphism and Malformations (4 papers). The work is most often cited by research in Infectious Diseases (1.9k citations), Epidemiology (1.6k citations), Molecular Medicine (247 citations), Endocrinology (134 citations) and Microbiology (19 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, Emerging infectious diseases, Clinical Microbiology and Infection 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.