Brice Letcher
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- Molecular Medicine top 10%
Papers in
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- Tuberculosis Research and Epidemiology 3
-
- Mycobacterium research and diagnosis 3
- Co-authors
- Michael B. Hall (4 shared papers)Kim Philipp Jablonski (2 shared papers)Manuel Holtgrewe (2 shared papers)Johannes Köster (2 shared papers)Andreas Wilm (2 shared papers)Sven Nahnsen (2 shared papers)Sven Olaf Twardziok (2 shared papers)Felix Mölder (2 shared papers)
- Journals
- Genome biology (3 papers)The Lancet Microbe (2 papers)F1000Research (2 papers)Nature Communications (1 paper)PLoS Biology (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Brice Letcher
9 papers receiving 1.8k citations
Brice Letcher's Hit Papers
Peers
Comparison fields: 5 of 136
- Infectious Diseases 325
- Molecular Medicine 69
- Molecular Biology 878
- Information Systems and Management 84
- Genetics 254
Countries citing papers authored by Brice Letcher
This map shows the geographic impact of Brice Letcher'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 Brice Letcher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brice Letcher more than expected).
Fields of papers citing papers by Brice Letcher
This network shows the impact of papers produced by Brice Letcher. 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 Brice Letcher. The network helps show where Brice Letcher may publish in the future.
Co-authors
The 25 scholars most cited alongside Brice Letcher, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Sustainable data analysis with Snakemake Hit paper breakdown → | 2021 | 933 |
| 2 | Sustainable data analysis with Snakemake Hit paper breakdown → | 2021 | 589 |
| 3 | The 2021 WHO catalogue of Mycobacterium tuberculosis complex mutations associated with drug resistance: a genotypic analysis Hit paper breakdown → | 2022 | 186 |
| 4 | 2023 | 52 | |
| 5 | 2021 | 41 | |
| 6 | 2024 | 29 | |
| 7 | 2022 | 16 | |
| 8 | 2021 | 13 | |
| 9 | 2024 | 3 |
About Brice Letcher
Brice Letcher is a scholar working on Infectious Diseases, Epidemiology, Information Systems and Management, Management Information Systems and Molecular Biology, having authored 9 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (3 papers), Tuberculosis Research and Epidemiology (3 papers), Mycobacterium research and diagnosis (3 papers), RNA and protein synthesis mechanisms (3 papers), Research Data Management Practices (1 paper), vaccines and immunoinformatics approaches (1 paper), Big Data and Business Intelligence (1 paper) and Data Visualization and Analytics (1 paper). The work is most often cited by research in Infectious Diseases (325 citations), Molecular Medicine (69 citations), Molecular Biology (878 citations), Information Systems and Management (84 citations) and Genetics (254 citations). Brice Letcher has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Michael B. Hall, Kim Philipp Jablonski, Manuel Holtgrewe, Johannes Köster, Andreas Wilm, Sven Nahnsen, Sven Olaf Twardziok, Felix Mölder, Jan Förster and Sven Rahmann. Their work appears in journals such as Genome biology, The Lancet Microbe, F1000Research, Nature Communications and PLoS Biology.
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.