Jonathan Plumb

3.6k citations
61 papers · 2.8k · h-index 30

Impact in

Papers in

Jonathan Plumb

61 papers receiving 2.7k citations

Peers

Jonathan Plumb
Comparison fields: 5 of 116
  • Internal Medicine 397
  • Cardiology and Cardiovascular Medicine 1.1k
  • Pulmonary and Respiratory Medicine 496
  • Physiology 405
  • Immunology 338
Replace Elisabetta Trabetti with:
Elisabetta Trabetti Italy
Nauder Faraday United States
Martin van Eickels Germany
Toshiaki Ebina Japan
Mirian C. H. Janssen Netherlands
Włodzimierz J. Musiał Poland
Yuji Miyao Japan
Michael T. Johnstone United States
H A Koomans Netherlands
Tetsuzo Wakatsuki Japan
Jonathan Plumb relative to Elisabetta Trabetti Italy Elisabetta Trabetti's profile →
Citations per field
00.5×2×4×5.8×
Elisabetta Trabetti · 1×
Citations per year

Countries citing papers authored by Jonathan Plumb

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Plumb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011257
2 2008219
3 2008164
4 2011163
5 2008137
6 2007114
7 2008106
8 2012100
9 201096
10 201095
11 201294
12 201390
13 200967
14 200965
15 200961
16 201257
17 201155
18 200351
19 201449
20 200845

About Jonathan Plumb

Jonathan Plumb is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Immunology, Cardiology and Cardiovascular Medicine and Economics and Econometrics, having authored 61 papers that have together received 2.8k indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (8 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (8 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers), Asthma and respiratory diseases (7 papers), Cytokine Signaling Pathways and Interactions (4 papers), Cell Adhesion Molecules Research (4 papers), Inhalation and Respiratory Drug Delivery (3 papers) and Epilepsy research and treatment (3 papers). The work is most often cited by research in Internal Medicine (397 citations), Cardiology and Cardiovascular Medicine (1.1k citations), Pulmonary and Respiratory Medicine (496 citations), Physiology (405 citations) and Immunology (338 citations). Jonathan Plumb has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Dave Singh, Andreas Clemens, Tjeerd van Staa, Arlene M. Gallagher, Efrosini Setakis, Sonja Sorensen, David Ray, Stephan Rietbrock, Stephen McQuaid and Simon Lea. Their work appears in journals such as Respiratory Research, Thrombosis and Haemostasis, European Respiratory Journal, Multiple Sclerosis Journal and Respiratory Medicine.

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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