Malcolm J. McGregor
Impact in
-
- Computational Drug Discovery Methods
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Protein Tyrosine Phosphatases
- Chemical Synthesis and Analysis
- RNA and protein synthesis mechanisms
Papers in
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- Protein Structure and Dynamics 2
- RNA and protein synthesis mechanisms 2
- Machine Learning in Bioinformatics 1
-
- Computational Drug Discovery Methods 5
- Co-authors
- Michael J.E. Sternberg (3 shared papers)Suhail A. Islam (2 shared papers)Steven M. Muskal (2 shared papers)Peter V. Pallai (3 shared papers)Heike Keilhack (1 shared paper)Lewis C. Cantley (1 shared paper)Benjamin G. Neel (1 shared paper)Frank David (1 shared paper)
- Journals
- Protein Engineering Design and Selection (2 papers)Journal of Biological Chemistry (1 paper)Biopolymers (1 paper)Journal of Molecular Biology (1 paper)The Journal of Experimental Medicine (1 paper)
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Malcolm J. McGregor
14 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 101
- Computational Theory and Mathematics 338
- Molecular Biology 948
- Immunology 192
- Spectroscopy 149
- Environmental Chemistry 61
Countries citing papers authored by Malcolm J. McGregor
This map shows the geographic impact of Malcolm J. McGregor'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 Malcolm J. McGregor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malcolm J. McGregor more than expected).
Fields of papers citing papers by Malcolm J. McGregor
This network shows the impact of papers produced by Malcolm J. McGregor. 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 Malcolm J. McGregor. The network helps show where Malcolm J. McGregor may publish in the future.
Co-authors
The 25 scholars most cited alongside Malcolm J. McGregor, 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 | 1987 | 368 | |
| 2 | 2005 | 229 | |
| 3 | 1997 | 139 | |
| 4 | 1999 | 120 | |
| 5 | 2012 | 82 | |
| 6 | 1989 | 81 | |
| 7 | 1999 | 50 | |
| 8 | 2007 | 39 | |
| 9 | 1994 | 34 | |
| 10 | 2002 | 28 | |
| 11 | 2009 | 23 | |
| 12 | 1989 | 20 | |
| 13 | 1994 | 5 | |
| 14 | 1991 | 3 | |
| 15 | 1997 | 1 |
About Malcolm J. McGregor
Malcolm J. McGregor is a scholar working on Molecular Biology, Computational Theory and Mathematics, Spectroscopy, Immunology and Pharmacology, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Analytical Chemistry and Chromatography (3 papers), Protein Structure and Dynamics (2 papers), RNA and protein synthesis mechanisms (2 papers), Enzyme Structure and Function (2 papers), Machine Learning in Bioinformatics (1 paper), HIV Research and Treatment (1 paper) and Molecular spectroscopy and chirality (1 paper). The work is most often cited by research in Computational Theory and Mathematics (338 citations), Molecular Biology (948 citations), Immunology (192 citations), Spectroscopy (149 citations) and Environmental Chemistry (61 citations). Malcolm J. McGregor has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Michael J.E. Sternberg, Suhail A. Islam, Steven M. Muskal, Peter V. Pallai, Heike Keilhack, Lewis C. Cantley, Benjamin G. Neel, Frank David, Tomas P. Flores and Jeff Zablocki. Their work appears in journals such as Protein Engineering Design and Selection, Journal of Biological Chemistry, Biopolymers, Journal of Molecular Biology and The Journal of Experimental 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.