Mark B. Swindells
- Molecular Biology top 1%
- Protein Structure and Dynamics 23
- RNA and protein synthesis mechanisms 15
- Machine Learning in Bioinformatics 12
- Genomics and Phylogenetic Studies 9
- Glycosylation and Glycoproteins Research 7
- Bioinformatics and Genomic Networks 6
- Protein Kinase Regulation and GTPase Signaling 3
- Computational Theory and Mathematics top 0.5%
- Toxicology top 1%
- Infectious Diseases top 2%
- Biotechnology top 2%
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- Enzyme Structure and Function 13
- Co-authors
- Roman A. LaskowskiJanet M. ThorntonMitsuhiko IkuraDavid T. JonesNicholas M. LuscombeMalcolm W. MacArthurJames B. AmesKyoko L. Yap
- Partner nations
- United KingdomJapanCanada
In The Last Decade
Mark B. Swindells
49 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 151
- Molecular Biology 5.2k
- Computational Theory and Mathematics 1.0k
- Toxicology 126
- Infectious Diseases 597
- Biotechnology 267
Countries citing papers authored by Mark B. Swindells
This map shows the geographic impact of Mark B. Swindells'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 Mark B. Swindells with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark B. Swindells more than expected).
Fields of papers citing papers by Mark B. Swindells
This network shows the impact of papers produced by Mark B. Swindells. 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 Mark B. Swindells. The network helps show where Mark B. Swindells may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark B. Swindells, 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 | 2016 | 140 | |
| 2 | 2007 | 53 | |
| 3 | 2007 | 107 | |
| 4 | 2004 | 2 | |
| 5 | 2003 | 40 | |
| 6 | 2002 | 118 | |
| 7 | 2001 | 40 | |
| 8 | 1999 | 45 | |
| 9 | 1999 | 26 | |
| 10 | 1998 | 23 | |
| 11 | 1998 | 127 | |
| 12 | 1998 | 132 | |
| 13 | 1998 | 25 | |
| 14 | 1996 | 6 | |
| 15 | 1995 | 24 | |
| 16 | 1995 | 42 | |
| 17 | 1995 | 211 | |
| 18 | 1995 | 89 | |
| 19 | 1993 | 3 | |
| 20 | 1993 | 22 |
About Mark B. Swindells
Mark B. Swindells is a scholar working on Molecular Biology, Aging and Materials Chemistry, having authored 50 papers that have together received 7.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (23 papers), RNA and protein synthesis mechanisms (15 papers), Enzyme Structure and Function (13 papers), Machine Learning in Bioinformatics (12 papers), Genomics and Phylogenetic Studies (9 papers), Glycosylation and Glycoproteins Research (7 papers), Bioinformatics and Genomic Networks (6 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Molecular Biology (5.2k citations), Computational Theory and Mathematics (1.0k citations) and Toxicology (126 citations). Mark B. Swindells has collaborated with scholars based in United Kingdom, Japan and Canada. Frequent co-authors include Roman A. Laskowski, Janet M. Thornton, Mitsuhiko Ikura, David T. Jones, Nicholas M. Luscombe, Malcolm W. MacArthur, James B. Ames, Kyoko L. Yap, Asaf Salamov and Masanori Osawa. Their work appears in journals such as Protein Science, Journal of Molecular Biology, Bioinformatics, Nature and Protein Engineering Design and Selection.
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.