Malcolm Weir
Impact in
- Physiology top 0.5%
- Adenosine and Purinergic Signaling
-
- Neuropeptides and Animal Physiology
Papers in
-
- Adenosine and Purinergic Signaling 6
-
- Receptor Mechanisms and Signaling 12
- Protein Structure and Dynamics 6
- RNA and protein synthesis mechanisms 4
- Co-authors
- Walter P. Blackstock (3 shared papers)Fiona H. Marshall (15 shared papers)A.S. Dore (7 shared papers)James C. Errey (8 shared papers)Ali Jazayeri (7 shared papers)Kaspar Hollenstein (3 shared papers)Miles Congreve (10 shared papers)Nathan J. Robertson (6 shared papers)
- Journals
- Biochemistry (6 papers)Journal of Medicinal Chemistry (6 papers)Nature (4 papers)Trends in biotechnology (3 papers)British Journal of Clinical Pharmacology (2 papers)
- Partner nations
- United KingdomNetherlandsAustralia
In The Last Decade
Malcolm Weir
42 papers receiving 3.6k citations
Malcolm Weir's Hit Papers
Peers
Comparison fields: 5 of 133
- Physiology 433
- Cellular and Molecular Neuroscience 1.3k
- Molecular Biology 3.1k
- Radiology, Nuclear Medicine and Imaging 553
- Spectroscopy 396
Countries citing papers authored by Malcolm Weir
This map shows the geographic impact of Malcolm Weir'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 Weir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malcolm Weir more than expected).
Fields of papers citing papers by Malcolm Weir
This network shows the impact of papers produced by Malcolm Weir. 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 Weir. The network helps show where Malcolm Weir may publish in the future.
Co-authors
The 25 scholars most cited alongside Malcolm Weir, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Proteomics: quantitative and physical mapping of cellular proteins Hit paper breakdown → | 1999 | 667 |
| 2 | 2011 | 479 | |
| 3 | 2013 | 360 | |
| 4 | 2014 | 351 | |
| 5 | 2012 | 278 | |
| 6 | 2016 | 180 | |
| 7 | 2014 | 169 | |
| 8 | 2017 | 149 | |
| 9 | 1984 | 136 | |
| 10 | 2010 | 135 | |
| 11 | 2012 | 119 | |
| 12 | 1994 | 112 | |
| 13 | 2011 | 102 | |
| 14 | 2013 | 64 | |
| 15 | 1984 | 64 | |
| 16 | 2019 | 63 | |
| 17 | 1985 | 56 | |
| 18 | 1995 | 41 | |
| 19 | 1991 | 41 | |
| 20 | 2001 | 41 |
About Malcolm Weir
Malcolm Weir is a scholar working on Physiology, Molecular Biology, Virology, Cellular and Molecular Neuroscience and Hematology, having authored 44 papers that have together received 4.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (12 papers), Neuropeptides and Animal Physiology (8 papers), Adenosine and Purinergic Signaling (6 papers), Protein Structure and Dynamics (6 papers), HIV Research and Treatment (5 papers), RNA and protein synthesis mechanisms (4 papers), HIV/AIDS drug development and treatment (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). The work is most often cited by research in Physiology (433 citations), Cellular and Molecular Neuroscience (1.3k citations), Molecular Biology (3.1k citations), Radiology, Nuclear Medicine and Imaging (553 citations) and Spectroscopy (396 citations). Malcolm Weir has collaborated with scholars based in United Kingdom, Netherlands and Australia. Frequent co-authors include Walter P. Blackstock, Fiona H. Marshall, A.S. Dore, James C. Errey, Ali Jazayeri, Kaspar Hollenstein, Miles Congreve, Nathan J. Robertson, Andrea Bortolato and Roger Cooke. Their work appears in journals such as Biochemistry, Journal of Medicinal Chemistry, Nature, Trends in biotechnology and British Journal of Clinical Pharmacology.
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.