Jonathan L. E. Dean

3.9k citations
40 papers · 3.4k · h-index 30

Impact in

    • NF-κB Signaling Pathways
  • Immunology top 2%
    • Immune Response and Inflammation
    • interferon and immune responses

Papers in

Jonathan L. E. Dean

40 papers receiving 3.3k citations

Peers

Jonathan L. E. Dean
Comparison fields: 5 of 110
  • Cancer Research 723
  • Immunology 896
  • Molecular Biology 2.0k
  • Oncology 573
  • Pharmacology 267
Replace Matthew Brook with:
Matthew Brook United Kingdom
Frank Eßmann Germany
Arndt Schottelius Germany
Suk‐Hwan Baek South Korea
Carl L. Manthey United States
Rudolf A. Rupec Germany
Latifa Bakiri Austria
Ameeta Kelekar United States
Manfred Neumann Germany
Swati Choksi United States
Jonathan L. E. Dean relative to Matthew Brook United Kingdom Matthew Brook's profile →
Citations per field
00.5×
Matthew Brook · 1×
Citations per year

Countries citing papers authored by Jonathan L. E. Dean

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jonathan L. E. Dean Line = papers co-authored together Jonathan L. E. Dean links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999462
2 2001390
3 2004269
4 2001254
5 2008180
6 2003172
7 2010132
8 2003112
9 2007104
10 201498
11 200389
12 200981
13 200473
14 201668
15 201666
16 201566
17 201365
18 201663
19 201561
20 201459

About Jonathan L. E. Dean

Jonathan L. E. Dean is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Biochemistry, having authored 40 papers that have together received 3.4k indexed citations. Recurring topics across this work include RNA Research and Splicing (13 papers), Amino Acid Enzymes and Metabolism (6 papers), RNA and protein synthesis mechanisms (6 papers), NF-κB Signaling Pathways (6 papers), Enzyme Structure and Function (6 papers), Cytokine Signaling Pathways and Interactions (6 papers), Immune Response and Inflammation (6 papers) and interferon and immune responses (4 papers). The work is most often cited by research in Cancer Research (723 citations), Immunology (896 citations), Molecular Biology (2.0k citations), Oncology (573 citations) and Pharmacology (267 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, Gareth Sully, Matthew Brook, Kamal R Mahtani, Lesley Rawlinson, Robin Wait, Anna Aubareda, Francesco P. Marchese and Dorian O. Haskard. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Biochemical Journal, The Journal of Immunology and Journal of Molecular Biology.

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.

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