John P. Matts

5.2k citations
79 papers · 2.7k · h-index 24

Impact in

    • HIV/AIDS Research and Interventions
    • Tuberculosis Research and Epidemiology
    • HIV/AIDS drug development and treatment
  • Virology top 5%
    • HIV Research and Treatment

Papers in

John P. Matts

74 papers receiving 2.6k citations

Peers

John P. Matts
Comparison fields: 5 of 151
  • Infectious Diseases 1.2k
  • Virology 165
  • Statistics and Probability 277
  • Family Practice 44
  • Epidemiology 636
Replace Patrick Taffé with:
Patrick Taffé Switzerland
Vincent Lo Re United States
Beth Rachlis Canada
Eric Tchetgen Tchetgen United States
Jennifer C. Nelson United States
Erica E. M. Moodie Canada
Andrew Anglemyer United States
Cono Ariti United Kingdom
Matthew Koch United States
Jane C. Lindsey United States
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Citations per field
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Citations per year

Countries citing papers authored by John P. Matts

Since Specialization
Citations

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

Fields of papers citing papers by John P. Matts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John P. Matts. 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 John P. Matts. The network helps show where John P. Matts may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002417
2 2004273
3 1988212
4 1988196
5 1997171
6 1997126
7 2000101
8 199895
9 200687
10 199381
11 200169
12 199658
13 200453
14 199439
15 199739
16 198333
17 199230
18 198929
19 199026
20 197926

About John P. Matts

John P. Matts is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Infectious Diseases, Statistics and Probability and Epidemiology, having authored 79 papers that have together received 2.7k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (19 papers), Cardiac, Anesthesia and Surgical Outcomes (14 papers), Statistical Methods in Clinical Trials (11 papers), Tuberculosis Research and Epidemiology (10 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers), Pneumocystis jirovecii pneumonia detection and treatment (7 papers), Cardiac Imaging and Diagnostics (6 papers) and HIV/AIDS drug development and treatment (6 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Virology (165 citations), Statistics and Probability (277 citations), Family Practice (44 citations) and Epidemiology (636 citations). John P. Matts has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include John M. Lachin, Sharon Mannheimer, Carroll Child, Gerald Friedland, Margaret A. Chesney, Wafaa El‐Sadr, Lee‐Jen Wei, Richard Hafner, David C. Perlman and Eileen T. Nelson. Their work appears in journals such as Controlled Clinical Trials, Clinical Infectious Diseases, The American Journal of Cardiology, American Heart Journal and American Journal of Respiratory and Critical Care 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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