John Chilton
Impact in
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- Scientific Computing and Data Management
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Gut microbiota and health
- Metabolomics and Mass Spectrometry Studies
Papers in
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- Scientific Computing and Data Management 10
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- Research Data Management Practices 5
- Cloud Computing and Resource Management 2
- Co-authors
- Björn Grüning (7 shared papers)Nicola Soranzo (5 shared papers)James Taylor (7 shared papers)Anton Nekrutenko (6 shared papers)Marius van den Beek (5 shared papers)Nate Coraor (6 shared papers)Jeremy Goecks (3 shared papers)Dannon Baker (5 shared papers)
- Journals
- PROTEOMICS (3 papers)Nucleic Acids Research (2 papers)Communications of the ACM (1 paper)PLoS Computational Biology (1 paper)Cell Systems (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
John Chilton
21 papers receiving 5.0k citations
John Chilton's Hit Papers
Peers
Comparison fields: 5 of 175
- Information Systems and Management 293
- Molecular Biology 2.8k
- Aging 67
- Endocrinology 169
- Molecular Medicine 141
Countries citing papers authored by John Chilton
This map shows the geographic impact of John Chilton'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 Chilton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Chilton more than expected).
Fields of papers citing papers by John Chilton
This network shows the impact of papers produced by John Chilton. 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 Chilton. The network helps show where John Chilton may publish in the future.
Co-authors
The 25 scholars most cited alongside John Chilton, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update Hit paper breakdown → | 2018 | 2503 |
| 2 | The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update Hit paper breakdown → | 2016 | 1475 |
| 3 | Using i Hit paper breakdown → | 2012 | 425 |
| 4 | 2015 | 198 | |
| 5 | 2015 | 119 | |
| 6 | 2022 | 77 | |
| 7 | 2018 | 74 | |
| 8 | 2017 | 51 | |
| 9 | 2000 | 24 | |
| 10 | 2010 | 22 | |
| 11 | 2014 | 18 | |
| 12 | 2012 | 18 | |
| 13 | 2020 | 17 | |
| 14 | 2012 | 10 | |
| 15 | 2023 | 6 | |
| 16 | 2015 | 6 | |
| 17 | 2010 | 5 | |
| 18 | 2002 | 4 | |
| 19 | 2014 | 4 | |
| 20 | 2012 | 3 |
About John Chilton
John Chilton is a scholar working on Information Systems and Management, Information Systems, Computer Networks and Communications, Molecular Biology and Spectroscopy, having authored 21 papers that have together received 5.1k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (10 papers), Research Data Management Practices (5 papers), Advanced Proteomics Techniques and Applications (4 papers), Distributed and Parallel Computing Systems (4 papers), Genomics and Rare Diseases (2 papers), Cancer Genomics and Diagnostics (2 papers), Cloud Computing and Resource Management (2 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Information Systems and Management (293 citations), Molecular Biology (2.8k citations), Aging (67 citations), Endocrinology (169 citations) and Molecular Medicine (141 citations). John Chilton has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Björn Grüning, Nicola Soranzo, James Taylor, Anton Nekrutenko, Marius van den Beek, Nate Coraor, Jeremy Goecks, Dannon Baker, Enis Afgan and Daniel Blankenberg. Their work appears in journals such as PROTEOMICS, Nucleic Acids Research, Communications of the ACM, PLoS Computational Biology and Cell Systems.
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.