Jon Ison
Impact in
-
- Scientific Computing and Data Management
- Information Systems top 5%
- Research Data Management Practices
Papers in
-
- Genetics, Bioinformatics, and Biomedical Research 11
- Protein Structure and Dynamics 5
- Biomedical Text Mining and Ontologies 5
- Genomics and Phylogenetic Studies 4
- Machine Learning in Bioinformatics 3
-
- Scientific Computing and Data Management 9
- Co-authors
- James Malone (3 shared papers)Matúš Kalaš (8 shared papers)Steve Pettifer (2 shared papers)Anna‐Lena Lamprecht (4 shared papers)Inge Jonassen (2 shared papers)Mahmut Uludağ (3 shared papers)Peter Rice (1 shared paper)Rodrigo López (1 shared paper)
- Journals
- Bioinformatics (3 papers)Proteins Structure Function and Bioinformatics (3 papers)Journal of Proteome Research (2 papers)GigaScience (2 papers)Briefings in Bioinformatics (2 papers)
- Partner nations
- United KingdomDenmarkFrance
In The Last Decade
Jon Ison
27 papers receiving 555 citations
Peers
Comparison fields: 5 of 94
- Information Systems and Management 242
- Information Systems 204
- Molecular Biology 238
- Management Science and Operations Research 46
- Artificial Intelligence 96
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 172 | |
| 2 | 2019 | 172 | |
| 3 | 2014 | 55 | |
| 4 | 2018 | 29 | |
| 5 | 2005 | 24 | |
| 6 | 2010 | 16 | |
| 7 | 2019 | 15 | |
| 8 | 2017 | 12 | |
| 9 | 2019 | 11 | |
| 10 | EMBOSS User's Guide: Practical Bioinformatics | 2011 | 11 |
| 11 | 2000 | 10 | |
| 12 | 2021 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2019 | 4 | |
| 15 | 2005 | 4 | |
| 16 | 2015 | 4 | |
| 17 | 1999 | 3 | |
| 18 | 2006 | 3 | |
| 19 | 2004 | 2 | |
| 20 | 2011 | 2 |
About Jon Ison
Jon Ison is a scholar working on Molecular Biology, Information Systems and Management, Computer Networks and Communications, Materials Chemistry and Information Systems, having authored 30 papers that have together received 570 indexed citations. Recurring topics across this work include Genetics, Bioinformatics, and Biomedical Research (11 papers), Scientific Computing and Data Management (9 papers), Protein Structure and Dynamics (5 papers), Biomedical Text Mining and Ontologies (5 papers), Enzyme Structure and Function (4 papers), Genomics and Phylogenetic Studies (4 papers), Distributed and Parallel Computing Systems (4 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Information Systems and Management (242 citations), Information Systems (204 citations), Molecular Biology (238 citations), Management Science and Operations Research (46 citations) and Artificial Intelligence (96 citations). Jon Ison has collaborated with scholars based in United Kingdom, Denmark and France. Frequent co-authors include James Malone, Matúš Kalaš, Steve Pettifer, Anna‐Lena Lamprecht, Inge Jonassen, Mahmut Uludağ, Peter Rice, Rodrigo López, Dan Bolser and Hamish McWilliam. Their work appears in journals such as Bioinformatics, Proteins Structure Function and Bioinformatics, Journal of Proteome Research, GigaScience and Briefings in Bioinformatics.
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.