Andrew J. Doig
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods 18
- Molecular Biology top 1%
- Protein Structure and Dynamics 46
- Chemical Synthesis and Analysis 23
- RNA and protein synthesis mechanisms 16
- Glycosylation and Glycoproteins Research 15
- Machine Learning in Bioinformatics 11
- Physiology top 1%
- Alzheimer's disease research and treatments 24
- Biomaterials top 2%
- Spectroscopy top 1%
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- Enzyme Structure and Function 23
- Co-authors
- Paul D. DobsonRobert L. BaldwinSudeep PushpakomKatherine J. EscottChristine J. McNameePhilippe SanséauAlan NorrisMunir Pirmohamed
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Andrew J. Doig
105 papers receiving 8.5k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Computational Theory and Mathematics 1.6k
- Molecular Biology 5.5k
- Physiology 1.3k
- Biomaterials 537
- Spectroscopy 630
Countries citing papers authored by Andrew J. Doig
This map shows the geographic impact of Andrew J. Doig'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 Andrew J. Doig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew J. Doig more than expected).
Fields of papers citing papers by Andrew J. Doig
This network shows the impact of papers produced by Andrew J. Doig. 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 Andrew J. Doig. The network helps show where Andrew J. Doig may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Andrew J. Doig, 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 | 1 | |
| 2 | 2020 | 43 | |
| 3 | 2020 | 18 | |
| 4 | 2020 | 7 | |
| 5 | 2019 | 6 | |
| 6 | 2018 | 38 | |
| 7 | 2015 | 20 | |
| 8 | 2013 | 11 | |
| 9 | 2009 | 66 | |
| 10 | 2008 | 13 | |
| 11 | 2008 | 13 | |
| 12 | 2004 | 122 | |
| 13 | 2004 | 8 | |
| 14 | 2003 | 335 | |
| 15 | 2001 | 20 | |
| 16 | 2000 | 13 | |
| 17 | αヘリックス,β-シート及びα-ヘリックスN-キャップにおけるアミノ酸側鎖ロータマの自由エネルギー | 1997 | 1 |
| 18 | 1995 | 79 | |
| 19 | 1995 | 277 | |
| 20 | 1991 | 136 |
About Andrew J. Doig
Andrew J. Doig is a scholar working on Molecular Biology, Computational Theory and Mathematics and Physiology, having authored 108 papers that have together received 8.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (46 papers), Alzheimer's disease research and treatments (24 papers), Enzyme Structure and Function (23 papers), Chemical Synthesis and Analysis (23 papers), Computational Drug Discovery Methods (18 papers), RNA and protein synthesis mechanisms (16 papers), Glycosylation and Glycoproteins Research (15 papers) and Machine Learning in Bioinformatics (11 papers). The work is most often cited by research in Computational Theory and Mathematics (1.6k citations), Molecular Biology (5.5k citations) and Physiology (1.3k citations). Andrew J. Doig has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Paul D. Dobson, Robert L. Baldwin, Sudeep Pushpakom, Katherine J. Escott, Christine J. McNamee, Philippe Sanséau, Alan Norris, Munir Pirmohamed, David Cavalla and Shirley Hopper. Their work appears in journals such as Protein Science, Journal of Molecular Biology, Biochemistry, Biochemical Society Transactions and Journal of the American Chemical Society.
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.