Mathis Thoma
Impact in
-
- Computational Drug Discovery Methods
-
- Microbial Natural Products and Biosynthesis
- Pharmacogenetics and Drug Metabolism
Papers in
-
- Computational Drug Discovery Methods 2
- Co-authors
- Meir Glick (2 shared papers)John W. Davies (2 shared papers)Anthony E. Klon (1 shared paper)Pierre Acklin (1 shared paper)Jeremy L. Jenkins (1 shared paper)Josef Scheiber (1 shared paper)Thomas J. Crisman (1 shared paper)James H. Nettles (1 shared paper)
- Journals
- Journal of Clinical Oncology (2 papers)Journal of Medicinal Chemistry (1 paper)Journal of Chemical Information and Modeling (1 paper)Anesthesiology (1 paper)Genome Medicine (1 paper)
- Partner nations
- United StatesIsraelGermany
In The Last Decade
Mathis Thoma
9 papers receiving 176 citations
Peers
Comparison fields: 5 of 47
- Computational Theory and Mathematics 89
- Pharmacology 15
- Obstetrics and Gynecology 9
- Molecular Biology 87
- Biophysics 6
Countries citing papers authored by Mathis Thoma
This map shows the geographic impact of Mathis Thoma'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 Mathis Thoma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathis Thoma more than expected).
Fields of papers citing papers by Mathis Thoma
This network shows the impact of papers produced by Mathis Thoma. 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 Mathis Thoma. The network helps show where Mathis Thoma may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathis Thoma, 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 | 2004 | 61 | |
| 2 | 2007 | 51 | |
| 3 | 2017 | 19 | |
| 4 | 2011 | 16 | |
| 5 | 2024 | 16 | |
| 6 | 2023 | 10 | |
| 7 | Influence of delayed diagnosis on established prognostic factors in endometrial cancer. | 1996 | 10 |
| 8 | 2000 | 4 | |
| 9 | 2011 | 1 |
About Mathis Thoma
Mathis Thoma is a scholar working on Molecular Biology, Computational Theory and Mathematics, Surgery, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 188 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (2 papers), Endometrial and Cervical Cancer Treatments (1 paper), Endometriosis Research and Treatment (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Multiple Sclerosis Research Studies (1 paper), Orthopaedic implants and arthroplasty (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper) and Gastric Cancer Management and Outcomes (1 paper). The work is most often cited by research in Computational Theory and Mathematics (89 citations), Pharmacology (15 citations), Obstetrics and Gynecology (9 citations), Molecular Biology (87 citations) and Biophysics (6 citations). Mathis Thoma has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Meir Glick, John W. Davies, Anthony E. Klon, Pierre Acklin, Jeremy L. Jenkins, Josef Scheiber, Thomas J. Crisman, James H. Nettles, Christian N. Parker and Andreas Bender. Their work appears in journals such as Journal of Clinical Oncology, Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling, Anesthesiology and Genome Medicine.
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.