Jon Ison
Impact in
- Information Systems and Management top 0.5%
- Scientific Computing and Data Management
- Information Systems top 2%
- Research Data Management Practices
Papers in
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- Scientific Computing and Data Management 28
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- Research Data Management Practices 9
- Co-authors
- JAMES M. MALONE (3 shared papers)Matúš Kalaš (6 shared papers)Anna-Lena Lamprecht (4 shared papers)Inge Jonassen (2 shared papers)Steve R. Pettifer (2 shared papers)Peter Rice (1 shared paper)Dan M Bolser (1 shared paper)Rodrigo López (1 shared paper)
- Journals
- Nucleic Acids Research (4 papers)F1000Research (3 papers)Bioinformatics (3 papers)Proteins Structure Function and Bioinformatics (2 papers)GigaScience (2 papers)
- Partner nations
- United KingdomDenmarkFrance
In The Last Decade
Jon Ison
35 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 126
- Information Systems and Management 464
- Information Systems 408
- Molecular Biology 474
- Health Informatics 10
- Artificial Intelligence 136
Countries citing papers authored by Jon Ison
This map shows the geographic impact of Jon Ison'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 Jon Ison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Ison more than expected).
Fields of papers citing papers by Jon Ison
This network shows the impact of papers produced by Jon Ison. 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 Jon Ison. The network helps show where Jon Ison may publish in the future.
Co-authors
The 25 scholars most cited alongside Jon Ison, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 302 | |
| 2 | 2019 | 202 | |
| 3 | 2013 | 196 | |
| 4 | 2015 | 112 | |
| 5 | 2017 | 102 | |
| 6 | 2017 | 93 | |
| 7 | 2014 | 60 | |
| 8 | 2019 | 45 | |
| 9 | 2018 | 36 | |
| 10 | 2010 | 34 | |
| 11 | 2005 | 23 | |
| 12 | 2021 | 22 | |
| 13 | 2010 | 18 | |
| 14 | 2017 | 15 | |
| 15 | 2019 | 15 | |
| 16 | 2019 | 13 | |
| 17 | EMBOSS User's Guide: Practical Bioinformatics | 2011 | 12 |
| 18 | 2021 | 11 | |
| 19 | 2000 | 10 | |
| 20 | 2021 | 7 |
About Jon Ison
Jon Ison is a scholar working on Information Systems and Management, Information Systems, Molecular Biology, Spectroscopy and Artificial Intelligence, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (28 papers), Research Data Management Practices (9 papers), Genomics and Phylogenetic Studies (9 papers), Genetics, Bioinformatics, and Biomedical Research (7 papers), Protein Structure and Dynamics (5 papers), Biomedical Text Mining and Ontologies (3 papers), Semantic Web and Ontologies (3 papers) and Distributed and Parallel Computing Systems (2 papers). The work is most often cited by research in Information Systems and Management (464 citations), Information Systems (408 citations), Molecular Biology (474 citations), Health Informatics (10 citations) and Artificial Intelligence (136 citations). Jon Ison has collaborated with scholars based in United Kingdom, Denmark and France. Frequent co-authors include JAMES M. MALONE, Matúš Kalaš, Anna-Lena Lamprecht, Inge Jonassen, Steve R. Pettifer, Peter Rice, Dan M Bolser, Rodrigo López, Mahmut Uludağ and Hamish McWilliam. Their work appears in journals such as Nucleic Acids Research, F1000Research, Bioinformatics, Proteins Structure Function and Bioinformatics and GigaScience.
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.