Jonathan L. E. Dean
Impact in
- Cancer Research top 2%
- NF-κB Signaling Pathways
- Immunology top 2%
- Immune Response and Inflammation
Papers in
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- RNA Research and Splicing 13
- RNA and protein synthesis mechanisms 6
- Melanoma and MAPK Pathways 5
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- NF-κB Signaling Pathways 7
- Co-authors
- Jeremy Saklatvala (17 shared papers)Andrew R. Clark (18 shared papers)Matthew Brook (4 shared papers)Gareth Sully (5 shared papers)Kamal R Mahtani (2 shared papers)Lesley Rawlinson (5 shared papers)Robin Wait (3 shared papers)S J Sarsfield (2 shared papers)
- Journals
- Journal of Biological Chemistry (6 papers)Biochemical Journal (5 papers)Molecular and Cellular Biology (5 papers)FEBS Letters (3 papers)The Journal of Immunology (3 papers)
- Partner nations
- United KingdomUnited StatesIreland
In The Last Decade
Jonathan L. E. Dean
41 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 113
- Cancer Research 844
- Immunology 996
- Molecular Biology 2.2k
- Oncology 653
- Pharmacology 371
Countries citing papers authored by Jonathan L. E. Dean
This map shows the geographic impact of Jonathan L. E. Dean'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 Jonathan L. E. Dean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan L. E. Dean more than expected).
Fields of papers citing papers by Jonathan L. E. Dean
This network shows the impact of papers produced by Jonathan L. E. Dean. 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 Jonathan L. E. Dean. The network helps show where Jonathan L. E. Dean may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan L. E. Dean, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 461 | |
| 2 | 2001 | 390 | |
| 3 | 2004 | 267 | |
| 4 | 2001 | 253 | |
| 5 | 1998 | 191 | |
| 6 | 2008 | 178 | |
| 7 | 2003 | 171 | |
| 8 | 2010 | 132 | |
| 9 | 2003 | 112 | |
| 10 | 2007 | 104 | |
| 11 | 2014 | 97 | |
| 12 | 2003 | 89 | |
| 13 | 2009 | 80 | |
| 14 | 2004 | 73 | |
| 15 | 2016 | 67 | |
| 16 | 2016 | 66 | |
| 17 | 2015 | 66 | |
| 18 | 2013 | 65 | |
| 19 | 2016 | 62 | |
| 20 | 2015 | 59 |
About Jonathan L. E. Dean
Jonathan L. E. Dean is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Biochemistry, having authored 41 papers that have together received 3.5k indexed citations. Recurring topics across this work include RNA Research and Splicing (13 papers), Immune Response and Inflammation (8 papers), Cytokine Signaling Pathways and Interactions (7 papers), NF-κB Signaling Pathways (7 papers), Amino Acid Enzymes and Metabolism (6 papers), RNA and protein synthesis mechanisms (6 papers), Enzyme Structure and Function (6 papers) and Melanoma and MAPK Pathways (5 papers). The work is most often cited by research in Cancer Research (844 citations), Immunology (996 citations), Molecular Biology (2.2k citations), Oncology (653 citations) and Pharmacology (371 citations). Jonathan L. E. Dean has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Jeremy Saklatvala, Andrew R. Clark, Matthew Brook, Gareth Sully, Kamal R Mahtani, Lesley Rawlinson, Robin Wait, S J Sarsfield, Anna Aubareda and Francesco P. Marchese. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, Molecular and Cellular Biology, FEBS Letters and The Journal of Immunology.
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.