Daniel R. McMasters
Impact in
- Hepatology top 10%
- Hepatitis C virus research
- Organic Chemistry top 5%
Papers in
-
- Blood Coagulation and Thrombosis Mechanisms 6
-
- Computational Drug Discovery Methods 8
- Co-authors
- Angelo VedaniJakob WirzKenneth R. KorzekwaMax DoblerSteven S. CarrollRhonda A. TorresDavid B. OlsenMalcolm MacCoss
- Journals
- Bioorganic & Medicinal Chemistry Letters (11 papers)Journal of Medicinal Chemistry (6 papers)Journal of the American Chemical Society (3 papers)Bioorganic & Medicinal Chemistry (3 papers)Journal of Chemical Information and Modeling (3 papers)
- Partner nations
- United StatesSwitzerlandChina
In The Last Decade
Daniel R. McMasters
40 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 97
- Hepatology 113
- Organic Chemistry 373
- Computational Theory and Mathematics 181
- Pharmacology 93
- Infectious Diseases 187
Countries citing papers authored by Daniel R. McMasters
This map shows the geographic impact of Daniel R. McMasters'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 Daniel R. McMasters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel R. McMasters more than expected).
Fields of papers citing papers by Daniel R. McMasters
This network shows the impact of papers produced by Daniel R. McMasters. 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 Daniel R. McMasters. The network helps show where Daniel R. McMasters may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel R. McMasters, 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 | 2020 | 2 | |
| 2 | 2018 | 2 | |
| 3 | 2016 | 39 | |
| 4 | 2010 | 6 | |
| 5 | 2010 | 15 | |
| 6 | 2009 | 14 | |
| 7 | 2009 | 67 | |
| 8 | 2009 | 16 | |
| 9 | 2009 | 13 | |
| 10 | 2008 | 9 | |
| 11 | 2007 | 24 | |
| 12 | 2007 | 29 | |
| 13 | 2006 | 31 | |
| 14 | 2005 | 35 | |
| 15 | 2004 | 16 | |
| 16 | 2004 | 9 | |
| 17 | 2003 | 20 | |
| 18 | 2003 | 36 | |
| 19 | 2003 | 21 | |
| 20 | 2000 | 68 |
About Daniel R. McMasters
Daniel R. McMasters is a scholar working on Hematology, Computational Theory and Mathematics, Hepatology, Pharmacology and Virology, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), Blood Coagulation and Thrombosis Mechanisms (6 papers), Drug Transport and Resistance Mechanisms (6 papers), HIV/AIDS drug development and treatment (5 papers), Chemical Synthesis and Analysis (5 papers), Biochemical and Molecular Research (4 papers), Pharmacogenetics and Drug Metabolism (4 papers) and Hepatitis C virus research (4 papers). The work is most often cited by research in Hepatology (113 citations), Organic Chemistry (373 citations), Computational Theory and Mathematics (181 citations), Pharmacology (93 citations) and Infectious Diseases (187 citations). Daniel R. McMasters has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Angelo Vedani, Jakob Wirz, Kenneth R. Korzekwa, Max Dobler, Steven S. Carroll, Rhonda A. Torres, David B. Olsen, Malcolm MacCoss, Hans Briem and Joseph P. Vacca. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Journal of the American Chemical Society, Bioorganic & Medicinal Chemistry and Journal of Chemical Information and Modeling.
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.