Jonathan D. Campbell

8.2k citations
123 papers · 4.2k · 2 hit papers · h-index 32

Impact in

Papers in

Jonathan D. Campbell

114 papers receiving 4.1k citations

Jonathan D. Campbell's Hit Papers

The prevalence of MS in the United States 2019 · 801 citations
8010+3+7Years since publication250500750

Peers

Jonathan D. Campbell
Comparison fields: 5 of 165
  • Pathology and Forensic Medicine 841
  • Physiology 802
  • Family Practice 38
  • Occupational Therapy 84
  • Immunology and Allergy 111
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Michael M. Ward United States
Merete Lund Hetland Denmark
Sasha Bernatsky Canada
Laure Gossec France
Thomas E. Dorner Austria
René Westhovens Belgium
Tatyana Shamliyan United States
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Citations per year

Countries citing papers authored by Jonathan D. Campbell

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan D. Campbell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The prevalence of MS in the United States
Hit paper breakdown →
2019801
2
Blood eosinophil count and prospective annual asthma disease burden: a UK cohort study
Hit paper breakdown →
2015427
3 2016195
4 2019115
5 2005115
6 2015114
7 2013102
8 201599
9 200984
10 201279
11 201979
12 201978
13 201074
14 201873
15 201971
16 201568
17 201667
18 201567
19 201862
20 201061

About Jonathan D. Campbell

Jonathan D. Campbell is a scholar working on Economics and Econometrics, Physiology, General Health Professions, Epidemiology and Pulmonary and Respiratory Medicine, having authored 123 papers that have together received 4.2k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (22 papers), Asthma and respiratory diseases (19 papers), Pharmaceutical Economics and Policy (8 papers), Healthcare cost, quality, practices (8 papers), Multiple Sclerosis Research Studies (7 papers), Urinary Bladder and Prostate Research (5 papers), CAR-T cell therapy research (5 papers) and Pharmaceutical studies and practices (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (841 citations), Physiology (802 citations), Family Practice (38 citations), Occupational Therapy (84 citations) and Immunology and Allergy (111 citations). Jonathan D. Campbell has collaborated with scholars based in United States, United Kingdom and Thailand. Frequent co-authors include Piyameth Dilokthornsakul, Melanie D. Whittington, R. Brett McQueen, Sean D. Sullivan, Nicholas G. LaRocca, Helen Tremlett, Ruth Ann Marrie, Laurie Wagner, Annette Langer‐Gould and Lie H. Chen. Their work appears in journals such as Journal of Managed Care & Specialty Pharmacy, Value in Health, Neurology, PharmacoEconomics and Journal of Asthma.

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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