Nicolas Scheuer
Impact in
- Hepatology top 10%
- Hepatitis C virus research
- Statistics and Probability top 10%
- Statistical Methods in Clinical Trials
Papers in
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- Hepatitis C virus research 2
-
- Statistical Methods in Clinical Trials 1
- Co-authors
- Michael H. Levy (2 shared papers)Suzy M. Teutsch (2 shared papers)Paul Haber (2 shared papers)John Martin Kaldor (2 shared papers)Kate A Dolan (2 shared papers)William D. Rawlinson (2 shared papers)Andrew R. Lloyd (2 shared papers)Vivek Subbiah (3 shared papers)
- Journals
- JAMA Network Open (3 papers)The Medical Journal of Australia (1 paper)European Journal of Epidemiology (1 paper)PharmacoEconomics (1 paper)Nature Communications (1 paper)
- Partner nations
- SwitzerlandUnited KingdomUnited States
In The Last Decade
Nicolas Scheuer
11 papers receiving 332 citations
Peers
Comparison fields: 5 of 58
- Hepatology 89
- Statistics and Probability 32
- Epidemiology 89
- Toxicology 8
- Health Informatics 3
Countries citing papers authored by Nicolas Scheuer
This map shows the geographic impact of Nicolas Scheuer'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 Nicolas Scheuer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Scheuer more than expected).
Fields of papers citing papers by Nicolas Scheuer
This network shows the impact of papers produced by Nicolas Scheuer. 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 Nicolas Scheuer. The network helps show where Nicolas Scheuer may publish in the future.
Co-authors
The 25 scholars most cited alongside Nicolas Scheuer, 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 | 2010 | 76 | |
| 2 | 2010 | 71 | |
| 3 | 2022 | 60 | |
| 4 | 2009 | 37 | |
| 5 | 2022 | 33 | |
| 6 | 2021 | 21 | |
| 7 | 2018 | 20 | |
| 8 | 2023 | 10 | |
| 9 | 2025 | 7 | |
| 10 | Smoothened (Smo) Inhibitor Lde225 Combined With Nilotinib In Patients With Chronic Myeloid Leukemia (Cml) Resistant/Intolerant (R/I) To At Least 1 Prior Tyrosine Kinase Inhibitor: A Phase 1B Study | 2015 | 4 |
| 11 | 2021 | 3 |
About Nicolas Scheuer
Nicolas Scheuer is a scholar working on Hepatology, Statistics and Probability, Oncology, Pulmonary and Respiratory Medicine and Economics and Econometrics, having authored 11 papers that have together received 342 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (3 papers), Hepatitis C virus research (2 papers), HER2/EGFR in Cancer Research (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Statistical Methods in Clinical Trials (1 paper), HIV/AIDS Research and Interventions (1 paper), Chronic Myeloid Leukemia Treatments (1 paper) and HIV, Drug Use, Sexual Risk (1 paper). The work is most often cited by research in Hepatology (89 citations), Statistics and Probability (32 citations), Epidemiology (89 citations), Toxicology (8 citations) and Health Informatics (3 citations). Nicolas Scheuer has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Michael H. Levy, Suzy M. Teutsch, Paul Haber, John Martin Kaldor, Kate A Dolan, William D. Rawlinson, Andrew R. Lloyd, Vivek Subbiah, Sreeram V Ramagopalan and Grace G. Hsu. Their work appears in journals such as JAMA Network Open, The Medical Journal of Australia, European Journal of Epidemiology, PharmacoEconomics and Nature Communications.
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.