John C. Wootton
- Parasitology top 0.2%
- Molecular Biology top 1%
- Genomics and Phylogenetic Studies 13
- RNA and protein synthesis mechanisms 13
- Machine Learning in Bioinformatics 12
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- Malaria Research and Control 8
- Molecular Medicine top 2%
- Biochemistry top 1%
- Amino Acid Enzymes and Metabolism 18
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- Enzyme Structure and Function 13
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- Bacterial Genetics and Biotechnology 8
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- GABA and Rice Research 8
- Co-authors
- Scott FederhenStephen F. AltschulMark S. BoguskiCharles E. LawrenceAndrew F. NeuwaldJun S. LiuMartin DrummondRoland A. Cooper
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
John C. Wootton
83 papers receiving 10.5k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Parasitology 1.2k
- Molecular Biology 6.0k
- Public Health, Environmental and Occupational Health 2.2k
- Molecular Medicine 263
- Biochemistry 383
Countries citing papers authored by John C. Wootton
This map shows the geographic impact of John C. Wootton'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 John C. Wootton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Wootton more than expected).
Fields of papers citing papers by John C. Wootton
This network shows the impact of papers produced by John C. Wootton. 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 John C. Wootton. The network helps show where John C. Wootton may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John C. Wootton, 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 | 2011 | 174 | |
| 2 | 2010 | 51 | |
| 3 | 2006 | 411 | |
| 4 | 2005 | 127 | |
| 5 | 2002 | 3 | |
| 6 | 2001 | 138 | |
| 7 | 1999 | 75 | |
| 8 | 1998 | 27 | |
| 9 | 1998 | 20 | |
| 10 | [33] Analysis of compositionally biased regions in sequence databasesbreakdown → | 1996 | 614 |
| 11 | 1994 | 103 | |
| 12 | Issues in searching molecular sequence databasesbreakdown → | 1994 | 648 |
| 13 | 1993 | 89 | |
| 14 | 1993 | 10 | |
| 15 | 1991 | 68 | |
| 16 | 1991 | 141 | |
| 17 | 1990 | 117 | |
| 18 | 1989 | 35 | |
| 19 | 1989 | 63 | |
| 20 | 1989 | 17 |
About John C. Wootton
John C. Wootton is a scholar working on Biochemistry, Microbiology and Molecular Medicine, having authored 83 papers that have together received 10.9k indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (18 papers), Genomics and Phylogenetic Studies (13 papers), RNA and protein synthesis mechanisms (13 papers), Enzyme Structure and Function (13 papers), Machine Learning in Bioinformatics (12 papers), Bacterial Genetics and Biotechnology (8 papers), GABA and Rice Research (8 papers) and Malaria Research and Control (8 papers). The work is most often cited by research in Parasitology (1.2k citations), Molecular Biology (6.0k citations) and Public Health, Environmental and Occupational Health (2.2k citations). John C. Wootton has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Scott Federhen, Stephen F. Altschul, Mark S. Boguski, Charles E. Lawrence, Andrew F. Neuwald, Jun S. Liu, Martin Drummond, Roland A. Cooper, Michael T. Ferdig and Warren Gish. Their work appears in journals such as Nature, Science and Cell.
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.