Jonathan Rousell

712 citations
18 papers · 605 indexed · h-index 16

Jonathan Rousell

18 papers receiving 587 citations

Peers

Jonathan Rousell
Comparison fields: 5 of 75
  • Physiology 245
  • Immunology and Allergy 56
  • Genetics 94
  • Immunology 147
  • Cellular and Molecular Neuroscience 107
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Fumiaki Kamada Japan
M. A. Lowman United Kingdom
Ohsuke Migita Japan
Benjamin J. Reed United States
M. Kadlubowski United Kingdom
Rosário Santos Portugal
T Kuwaki Japan
E. Orsó Germany
Claus W. Hann von Weyhern Germany
Kimberly L. Quinlan United States
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan Rousell

Since Specialization
Citations

This map shows the geographic impact of Jonathan Rousell'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 Rousell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Rousell more than expected).

Fields of papers citing papers by Jonathan Rousell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Rousell. 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 Rousell. The network helps show where Jonathan Rousell may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jonathan Rousell, 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 Rousell Line = papers co-authored together Jonathan Rousell links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 200131
2 200027
3 200023
4
Post-transcriptional regulation of bradykinin B1 and B2 receptor gene expression in human lung fibroblasts by tumor necrosis factor-alpha: modulation by dexamethasone.
200065
5 200042
6 199982
7 199838
8 199835
9 199717
10 199734
11 199654
12 199628
13 199626
14 199623
15 199540
16 19956
17 199526
18 19938

About Jonathan Rousell

Jonathan Rousell is a scholar working on Immunology, Physiology, Cellular and Molecular Neuroscience, Genetics and Immunology and Allergy, having authored 18 papers that have together received 605 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (9 papers), Asthma and respiratory diseases (5 papers), Ion channel regulation and function (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Neuropeptides and Animal Physiology (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Peptidase Inhibition and Analysis (2 papers) and Immune Response and Inflammation (2 papers). The work is most often cited by research in Physiology (245 citations), Immunology and Allergy (56 citations), Genetics (94 citations), Immunology (147 citations) and Cellular and Molecular Neuroscience (107 citations). Jonathan Rousell has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Peter J. Barnes, El‐Bdaoui Haddad, Jcw Mak, Kian Fan Chung, Mark A. Lindsay, E B Haddad, Peter McIntyre, Jane A. Mitchell, Hema J Patel and Emma Fadlon. Their work appears in journals such as Molecular Pharmacology, Journal of Biological Chemistry, British Journal of Pharmacology, Life Sciences and Naunyn-Schmiedeberg s Archives of Pharmacology.

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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