Nicolas Scheuer

417 citations
12 papers · 304 · h-index 8

Impact in

  • Hepatology top 10%
    • Hepatitis C virus research
    • HIV, Drug Use, Sexual Risk
    • Hepatitis B Virus Studies
    • Substance Abuse Treatment and Outcomes

Papers in

Nicolas Scheuer

12 papers receiving 294 citations

Peers

Nicolas Scheuer
Comparison fields: 5 of 58
  • Hepatology 101
  • Epidemiology 137
  • Statistics and Probability 31
  • Toxicology 8
  • Health Informatics 3
Replace Róisín Adams with:
Róisín Adams Ireland
Tianhua He China
Theophile Bigirumurame United Kingdom
Baris Deniz United States
Vinícius Lins Ferreira Brazil
Jean‐Charles Ryff Switzerland
Annie Hung United States
Tae Hyup Kim South Korea
Richard D. Burt United States
Ming-Wen An United States
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Citations per field
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Citations per year

Countries citing papers authored by Nicolas Scheuer

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Nicolas Scheuer Line = papers co-authored together Nicolas Scheuer links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201072
2 201070
3 202248
4 200935
5 202226
6 201817
7 202116
8 20237
9 20185
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
20154
11 20252
12 20102

About Nicolas Scheuer

Nicolas Scheuer is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Epidemiology, Economics and Econometrics and Molecular Biology, having authored 12 papers that have together received 304 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Cancer Treatment and Pharmacology (2 papers), HER2/EGFR in Cancer Research (2 papers), Hepatitis C virus research (2 papers), HIV, Drug Use, Sexual Risk (2 papers), Statistical Methods in Clinical Trials (2 papers) and Colorectal Cancer Treatments and Studies (1 paper). The work is most often cited by research in Hepatology (101 citations), Epidemiology (137 citations), Statistics and Probability (31 citations), Toxicology (8 citations) and Health Informatics (3 citations). Nicolas Scheuer has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Michael Levy, Paul Haber, William D. Rawlinson, John Kaldor, Suzy Teutsch, Andrew R. Lloyd, Kate Dolan, Vivek Subbiah, Sreeram V Ramagopalan and Grace Hsu. Their work appears in journals such as JAMA Network Open, Molecular Cancer Therapeutics, Journal of Clinical Oncology, 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.

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