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 2%
    • HIV Research and Treatment

Papers in

John P. Matts

74 papers receiving 2.5k citations

Peers

John P. Matts
Comparison fields: 5 of 156
  • Infectious Diseases 1.5k
  • Virology 298
  • Statistics and Probability 319
  • Family Practice 80
  • Epidemiology 941
Replace Patrick Taffé with:
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Vincent Lo Re United States
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Andrew Anglemyer United States
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Citations per field
00.5×6.8×
Patrick Taffé · 1×
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 2002416
2 2004271
3 1988206
4 1988195
5 1997170
6 1997125
7 2000101
8 199895
9 200688
10 199381
11 200169
12 199657
13 200452
14 199440
15 199739
16 198333
17 199230
18 198929
19 199026
20 199326

About John P. Matts

John P. Matts is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Infectious Diseases, Epidemiology and Statistics and Probability, having authored 79 papers that have together received 2.7k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (20 papers), Cardiac, Anesthesia and Surgical Outcomes (15 papers), Tuberculosis Research and Epidemiology (13 papers), Pneumocystis jirovecii pneumonia detection and treatment (12 papers), Statistical Methods in Clinical Trials (11 papers), HIV/AIDS drug development and treatment (9 papers), Health Systems, Economic Evaluations, Quality of Life (8 papers) and Cardiac Imaging and Diagnostics (6 papers). The work is most often cited by research in Infectious Diseases (1.5k citations), Virology (298 citations), Statistics and Probability (319 citations), Family Practice (80 citations) and Epidemiology (941 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 Clinical Infectious Diseases, Controlled Clinical Trials, The American Journal of Cardiology, American Journal of Respiratory and Critical Care Medicine and American Heart Journal.

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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