Michael Thompson

7 papers receiving 60 citations

Peers

Michael Thompson
Comparison fields: 5 of 30
  • Family Practice 3
  • Endocrinology, Diabetes and Metabolism 27
  • Health Informatics 1
  • Applied Psychology 3
  • General Health Professions 11
Replace María Elena González-Villalpando with:
María Elena González-Villalpando Mexico
Leah N. Schwartz United States
Sherilynn Madraisau Japan
Grace Vanterpool United Kingdom
Lea N. Harvin United States
A. López-Alba France
Godfred Otchere Ghana
Salim Berkinbayev Kazakhstan
Shaun O’Hanlon United Kingdom
Michelle Stancil United States
Michael Thompson relative to María Elena González-Villalpando Mexico María Elena González-Villalpando's profile →
Citations per field
00.5×
María Elena González-Villalpando · 1×
Citations per year

Countries citing papers authored by Michael Thompson

Since Specialization
Citations

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

Fields of papers citing papers by Michael Thompson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 200929
2 202126
3 20144
4 20212
5
The complexities of measuring complexity
20122
6 19972
7 20251
8 20190

About Michael Thompson

Michael Thompson is a scholar working on Endocrinology, Diabetes and Metabolism, Statistical and Nonlinear Physics, Economics and Econometrics, Molecular Biology and General Health Professions, having authored 8 papers that have together received 66 indexed citations. Recurring topics across this work include Diabetes Management and Education (3 papers), Complex Network Analysis Techniques (2 papers), Complex Systems and Time Series Analysis (2 papers), Diabetes Management and Research (1 paper), Epigenetics and DNA Methylation (1 paper), Telomeres, Telomerase, and Senescence (1 paper), Labor Movements and Unions (1 paper) and Mobile Health and mHealth Applications (1 paper). The work is most often cited by research in Family Practice (3 citations), Endocrinology, Diabetes and Metabolism (27 citations), Health Informatics (1 citation), Applied Psychology (3 citations) and General Health Professions (11 citations). Michael Thompson has collaborated with scholars based in United States, Australia and Denmark. Frequent co-authors include Stephenie C. Lemon, George Reed, Sherry Pagoto, Mary Jo White, Louise Young, David M. Harlan, Milagros C. Rosal, Angela Cadavid Restrepo, Ira S. Ockene and David D. McManus. Their work appears in journals such as Australasian Marketing Journal (AMJ), American Journal of Respiratory Cell and Molecular Biology, BMC Medical Research Methodology, Diabetes and JMIR Diabetes.

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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