John C. Wootton

14.5k citations
83 papers · 10.9k indexed · 7 hit papers · h-index 42
Topics
Amino Acid Enzymes and Metabolism (18 papers)Genomics and Phylogenetic Studies (13 papers)RNA and protein synthesis mechanisms (13 papers)

In The Last Decade

John C. Wootton

83 papers receiving 10.5k citations

Hit Papers

Detecting Subtle Sequence Signals: a Gibbs Sampling Strat...1993202620042015199320002005199419964008001.2k

Peers

John C. Wootton
Comparison fields: 5 of 171
  • Molecular Biology 6.0k
  • Public Health, Environmental and Occupational Health 2.2k
  • Genetics 1.3k
  • Parasitology 1.2k
  • Plant Science 1.2k
Replace William R. Pearson with:
William R. Pearson United States
Kiyoshi Kita Japan
Lawrence A. Kelley United Kingdom
Kevin Karplus United States
Elizabeth A. Winzeler United States
Michael P. Barrett United Kingdom
Thomas Dandekar Germany
Gabriel Studer Switzerland
Stefan Bienert Switzerland
Martino Bertoni Switzerland
John C. Wootton relative to William R. Pearson United States William R. Pearson's profile →
Citations per field
00.5×4.0×
William R. Pearson · 1×
Citations per year

Countries citing papers authored by John C. Wootton

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of John C. Wootton

This figure shows the co-authorship network connecting the top 25 collaborators of John C. Wootton. A scholar is included among the top collaborators of John C. Wootton based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John C. Wootton. John C. Wootton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 174
2 51
3 411
4 127
5 3
6 138
7 75
8 27
9 20
10
[33] Analysis of compositionally biased regions in sequence databasesbreakdown →
614
11 103
12
Issues in searching molecular sequence databasesbreakdown →
648
13 89
14 10
15 68
16 141
17 117
18 35
19 63
20 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) and RNA and protein synthesis mechanisms (13 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026