Arthur Wüster
Impact in
- Genetics top 5%
- Genomics and Rare Diseases
- Evolution and Genetic Dynamics
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
-
- Bioinformatics and Genomic Networks 3
- Fungal and yeast genetics research 2
- Genetics 8
- Genomics and Rare Diseases 4
- Genetics and Neurodevelopmental Disorders 2
- Co-authors
- M. Madan Babu (7 shared papers)Matthew E. Hurles (3 shared papers)Raheleh Rahbari (2 shared papers)Guilhem Chalancon (1 shared paper)Marc Torrent (1 shared paper)Natalia Sánchez de Groot (1 shared paper)Anna F. Dominiczak (1 shared paper)Sarah Lindsay (1 shared paper)
- Journals
- The Journal of Immunology (2 papers)PLoS Genetics (2 papers)Molecular Systems Biology (2 papers)Nature Communications (2 papers)Bioinformatics (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Arthur Wüster
24 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 111
- Genetics 448
- Cancer Research 206
- Molecular Biology 983
- Aging 19
- Immunology 123
Countries citing papers authored by Arthur Wüster
This map shows the geographic impact of Arthur Wüster'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 Arthur Wüster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arthur Wüster more than expected).
Fields of papers citing papers by Arthur Wüster
This network shows the impact of papers produced by Arthur Wüster. 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 Arthur Wüster. The network helps show where Arthur Wüster may publish in the future.
Co-authors
The 25 scholars most cited alongside Arthur Wüster, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 407 | |
| 2 | 2018 | 189 | |
| 3 | 2009 | 136 | |
| 4 | 2010 | 124 | |
| 5 | 2013 | 98 | |
| 6 | 2016 | 82 | |
| 7 | 2007 | 80 | |
| 8 | 2018 | 75 | |
| 9 | 2017 | 58 | |
| 10 | 2009 | 54 | |
| 11 | 2018 | 50 | |
| 12 | 2016 | 49 | |
| 13 | 2017 | 36 | |
| 14 | 2018 | 35 | |
| 15 | 2008 | 27 | |
| 16 | 2021 | 19 | |
| 17 | 2018 | 9 | |
| 18 | 2024 | 8 | |
| 19 | 2010 | 6 | |
| 20 | 2023 | 5 |
About Arthur Wüster
Arthur Wüster is a scholar working on Molecular Biology, Genetics, Immunology, Cancer Research and Epidemiology, having authored 25 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Genomics and Rare Diseases (4 papers), Immune Cell Function and Interaction (3 papers), Bioinformatics and Genomic Networks (3 papers), Diet and metabolism studies (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), T-cell and B-cell Immunology (2 papers) and Fungal and yeast genetics research (2 papers). The work is most often cited by research in Genetics (448 citations), Cancer Research (206 citations), Molecular Biology (983 citations), Aging (19 citations) and Immunology (123 citations). Arthur Wüster has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include M. Madan Babu, Matthew E. Hurles, Raheleh Rahbari, Guilhem Chalancon, Marc Torrent, Natalia Sánchez de Groot, Anna F. Dominiczak, Sarah Lindsay, Andrew D. Morris and Blair H. Smith. Their work appears in journals such as The Journal of Immunology, PLoS Genetics, Molecular Systems Biology, Nature Communications and Bioinformatics.
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.