David Stucki
Impact in
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
- Epidemiology top 5%
- Mycobacterium research and diagnosis
Papers in
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- Tuberculosis Research and Epidemiology 14
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- Genomics and Phylogenetic Studies 2
- RNA and protein synthesis mechanisms 2
- Co-authors
- Sébastien Gagneux (15 shared papers)Sònia Borrell (8 shared papers)Mireia Coscollá (5 shared papers)Thomas Egli (1 shared paper)Lukas Fenner (6 shared papers)Julia Feldmann (6 shared papers)Frederik Hammes (1 shared paper)Marius Vital (1 shared paper)
- Journals
- PLoS ONE (5 papers)PLoS neglected tropical diseases (2 papers)Cancer (2 papers)Tuberculosis (1 paper)Molecular Biology and Evolution (1 paper)
- Partner nations
- SwitzerlandUnited KingdomSouth Africa
In The Last Decade
David Stucki
23 papers receiving 901 citations
Peers
Comparison fields: 5 of 101
- Infectious Diseases 555
- Epidemiology 428
- Molecular Medicine 31
- Surgery 193
- Endocrinology 22
Countries citing papers authored by David Stucki
This map shows the geographic impact of David Stucki'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 David Stucki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Stucki more than expected).
Fields of papers citing papers by David Stucki
This network shows the impact of papers produced by David Stucki. 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 David Stucki. The network helps show where David Stucki may publish in the future.
Co-authors
The 25 scholars most cited alongside David Stucki, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 97 | |
| 2 | 2012 | 96 | |
| 3 | 2010 | 93 | |
| 4 | 2015 | 68 | |
| 5 | 2014 | 63 | |
| 6 | 2011 | 56 | |
| 7 | 2016 | 51 | |
| 8 | 2015 | 49 | |
| 9 | 2011 | 48 | |
| 10 | 1986 | 46 | |
| 11 | 2012 | 41 | |
| 12 | 2016 | 36 | |
| 13 | 2019 | 28 | |
| 14 | 2005 | 24 | |
| 15 | 2012 | 18 | |
| 16 | 2017 | 18 | |
| 17 | Immunological and genetic characterization of women with vulvodynia. | 2010 | 17 |
| 18 | 2017 | 15 | |
| 19 | 2017 | 14 | |
| 20 | 2018 | 14 |
About David Stucki
David Stucki is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Surgery and Genetics, having authored 23 papers that have together received 917 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (14 papers), Mycobacterium research and diagnosis (7 papers), Infectious Diseases and Tuberculosis (3 papers), Genetic Neurodegenerative Diseases (2 papers), Genomics and Phylogenetic Studies (2 papers), Evolution and Genetic Dynamics (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Infectious Diseases (555 citations), Epidemiology (428 citations), Molecular Medicine (31 citations), Surgery (193 citations) and Endocrinology (22 citations). David Stucki has collaborated with scholars based in Switzerland, United Kingdom and South Africa. Frequent co-authors include Sébastien Gagneux, Sònia Borrell, Mireia Coscollá, Thomas Egli, Lukas Fenner, Julia Feldmann, Frederik Hammes, Marius Vital, Dorothy Yeboah‐Manu and Andreas Steiner. Their work appears in journals such as PLoS ONE, PLoS neglected tropical diseases, Cancer, Tuberculosis and Molecular Biology and Evolution.
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.