Michael A. Walters
Impact in
- Molecular Medicine top 0.2%
- Curcumin's Biomedical Applications
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
-
- Computational Drug Discovery Methods 16
-
- Asymmetric Synthesis and Catalysis 7
- Chemical Reaction Mechanisms 4
- Synthetic Organic Chemistry Methods 4
- Co-authors
- Jayme L. DahlinJonathan B. BaellKathryn M. NelsonGuido F. PauliJames G. GrahamJonathan BissonJessica M. StrasserJames Inglese
- Journals
- Tetrahedron Letters (8 papers)Journal of Medicinal Chemistry (7 papers)The Journal of Organic Chemistry (4 papers)SLAS DISCOVERY (3 papers)ACS Chemical Neuroscience (3 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Michael A. Walters
94 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Molecular Medicine 968
- Computational Theory and Mathematics 633
- Organic Chemistry 1.1k
- Pharmacology 564
- Molecular Biology 2.2k
Countries citing papers authored by Michael A. Walters
This map shows the geographic impact of Michael A. Walters'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 Michael A. Walters with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael A. Walters more than expected).
Fields of papers citing papers by Michael A. Walters
This network shows the impact of papers produced by Michael A. Walters. 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 Michael A. Walters. The network helps show where Michael A. Walters may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael A. Walters, 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 | 2023 | 3 | |
| 2 | 2021 | 33 | |
| 3 | 2020 | 19 | |
| 4 | 2020 | 18 | |
| 5 | 2018 | 27 | |
| 6 | 2018 | 1 | |
| 7 | 2017 | 77 | |
| 8 | 2017 | 44 | |
| 9 | 2016 | 20 | |
| 10 | 2016 | 13 | |
| 11 | 2015 | 59 | |
| 12 | 2015 | 262 | |
| 13 | 2015 | 13 | |
| 14 | 2014 | 3 | |
| 15 | 2014 | 97 | |
| 16 | 2005 | 27 | |
| 17 | 2003 | 7 | |
| 18 | 2003 | 105 | |
| 19 | 2002 | 132 | |
| 20 | 2002 | 61 |
About Michael A. Walters
Michael A. Walters is a scholar working on Computational Theory and Mathematics, Organic Chemistry, Molecular Medicine, Pharmaceutical Science and Molecular Biology, having authored 98 papers that have together received 5.0k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (16 papers), Chemical Synthesis and Analysis (9 papers), Asymmetric Synthesis and Catalysis (7 papers), Cardiomyopathy and Myosin Studies (4 papers), Chemical Reaction Mechanisms (4 papers), Parvovirus B19 Infection Studies (4 papers), Synthetic Organic Chemistry Methods (4 papers) and Viral-associated cancers and disorders (4 papers). The work is most often cited by research in Molecular Medicine (968 citations), Computational Theory and Mathematics (633 citations), Organic Chemistry (1.1k citations), Pharmacology (564 citations) and Molecular Biology (2.2k citations). Michael A. Walters has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Jayme L. Dahlin, Jonathan B. Baell, Kathryn M. Nelson, Guido F. Pauli, James G. Graham, Jonathan Bisson, Jessica M. Strasser, James Inglese, Steven B. Marston and J. Willem M. Nissink. Their work appears in journals such as Tetrahedron Letters, Journal of Medicinal Chemistry, The Journal of Organic Chemistry, SLAS DISCOVERY and ACS Chemical Neuroscience.
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.