Scott J. Johnson

2.0k citations
69 papers · 1.4k indexed · h-index 22

Impact in

Papers in

Scott J. Johnson

65 papers receiving 1.3k citations

Peers

Scott J. Johnson
Comparison fields: 5 of 129
  • Family Practice 77
  • Reproductive Medicine 100
  • Economics and Econometrics 270
  • Obstetrics and Gynecology 70
  • Immunology and Allergy 52
Replace Matthew Davis with:
Matthew Davis United States
Michael Fahey Australia
Martin H. Reed Canada
John R. Thornbury United States
Marouane Boubaya France
Lorenz Uhlmann Germany
Helle Collatz Christensen Denmark
Armando J. Lorenzo Canada
Ann Lazar United States
George D. Webster United States
Scott J. Johnson relative to Matthew Davis United States Matthew Davis's profile →
Citations per field
00.5×10×20×26×
Matthew Davis · 1×
Citations per year

Countries citing papers authored by Scott J. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Scott J. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott J. Johnson. 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 Scott J. Johnson. The network helps show where Scott J. Johnson may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20233
3 202239
4 202215
5 202018
6 201948
7 20191
8 20178
9 20169
10 20151
11 20151
12 20150
13 201324
14 201210
15 201220
16 20109
17 200929
18 200938
19 200511
20 19984

About Scott J. Johnson

Scott J. Johnson is a scholar working on Hepatology, Family Practice, Economics and Econometrics, Epidemiology and Reproductive Medicine, having authored 69 papers that have together received 1.4k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (14 papers), Hepatitis C virus research (8 papers), Inflammatory Bowel Disease (7 papers), Pharmaceutical Economics and Policy (7 papers), Microscopic Colitis (6 papers), Eosinophilic Esophagitis (5 papers), Liver Disease Diagnosis and Treatment (5 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). The work is most often cited by research in Family Practice (77 citations), Reproductive Medicine (100 citations), Economics and Econometrics (270 citations), Obstetrics and Gynecology (70 citations) and Immunology and Allergy (52 citations). Scott J. Johnson has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Howard G. Birnbaum, Matthew Davis, C. P. van Dam, Jonathon P. Baker, Dale E. Berg, Laurence C. Baker, Dendy Macaulay, Eric Q. Wu, Andrew J. Epstein and Jingdong Chao. Their work appears in journals such as PharmacoEconomics, Journal of Medical Economics, Value in Health, Journal of Hepatology and Advances in Therapy.

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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