Malcolm Weir
- Physiology top 0.5%
- Adenosine and Purinergic Signaling 6
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- Neuropeptides and Animal Physiology 8
- Neuroscience and Neuropharmacology Research 5
- Molecular Biology top 2%
- Receptor Mechanisms and Signaling 14
- Protein Structure and Dynamics 6
- RNA and protein synthesis mechanisms 4
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- HIV Research and Treatment 5
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- HIV/AIDS drug development and treatment 4
- Co-authors
- Walter BlackstockFiona H. MarshallA.S. DoreRoger CookeJames C. ErreyAli JazayeriKaspar HollensteinMiles Congreve
- Partner nations
- United KingdomGermanyNetherlands
In The Last Decade
Malcolm Weir
42 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Physiology 418
- Cellular and Molecular Neuroscience 1.2k
- Molecular Biology 2.9k
- Computational Theory and Mathematics 373
- Radiology, Nuclear Medicine and Imaging 531
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 136 | |
| 2 | 2016 | 169 | |
| 3 | 2014 | 324 | |
| 4 | 2014 | 159 | |
| 5 | 2013 | 58 | |
| 6 | 2013 | 332 | |
| 7 | 2011 | 453 | |
| 8 | 2010 | 126 | |
| 9 | 2001 | 40 | |
| 10 | 2000 | 30 | |
| 11 | Proteomics: quantitative and physical mapping of cellular proteinsbreakdown → | 1999 | 586 |
| 12 | 1995 | 43 | |
| 13 | 1995 | 5 | |
| 14 | 1994 | 105 | |
| 15 | 1993 | 28 | |
| 16 | 1992 | 26 | |
| 17 | 1992 | 34 | |
| 18 | 1991 | 37 | |
| 19 | 1991 | 6 | |
| 20 | 1991 | 41 |
About Malcolm Weir
Malcolm Weir is a scholar working on Physiology, Virology, Cellular and Molecular Neuroscience, Hematology and Molecular Biology, having authored 42 papers that have together received 3.7k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (14 papers), Neuropeptides and Animal Physiology (8 papers), Protein Structure and Dynamics (6 papers), Adenosine and Purinergic Signaling (6 papers), HIV Research and Treatment (5 papers), Neuroscience and Neuropharmacology Research (5 papers), HIV/AIDS drug development and treatment (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Physiology (418 citations), Cellular and Molecular Neuroscience (1.2k citations), Molecular Biology (2.9k citations), Computational Theory and Mathematics (373 citations) and Radiology, Nuclear Medicine and Imaging (531 citations). Malcolm Weir has collaborated with scholars based in United Kingdom, Germany and Netherlands. Frequent co-authors include Walter Blackstock, Fiona H. Marshall, A.S. Dore, Roger Cooke, James C. Errey, Ali Jazayeri, Kaspar Hollenstein, Miles Congreve, N.J. Robertson and Andrea Bortolato. Their work appears in journals such as Journal of Medicinal Chemistry, Biochemistry, Nature, Trends in biotechnology and Biochemical Society Transactions.
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.