Michael Heathman

847 citations
24 papers · 617 · h-index 12

Impact in

Papers in

Michael Heathman

23 papers receiving 595 citations

Peers

Michael Heathman
Comparison fields: 5 of 91
  • Endocrinology, Diabetes and Metabolism 114
  • Pharmacology 53
  • Statistics and Probability 49
  • Pharmacology 92
  • Orthopedics and Sports Medicine 36
Replace Teun M. Post with:
Teun M. Post Netherlands
Mamoru Narukawa Japan
Michael V. Holmes United Kingdom
Veena Somayaji United States
G. Sponer United States
Matt Hutmacher United States
P D Fowler United Kingdom
Marianne Kristiansen Kringen Norway
J M Alexandre France
Kouichi Hosomi Japan
Michael Heathman relative to Teun M. Post Netherlands Teun M. Post's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Heathman

Since Specialization
Citations

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

Fields of papers citing papers by Michael Heathman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005119
2 201083
3 201580
4 200354
5 201449
6 200936
7 201735
8 201731
9 201028
10 201721
11 201519
12 201811
13 201211
14 200010
15 20218
16 19897
17 20225
18 20173
19 20193
20 20201

About Michael Heathman

Michael Heathman is a scholar working on Pharmacology, Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health, Oncology and Pharmacology, having authored 24 papers that have together received 617 indexed citations. Recurring topics across this work include Treatment of Major Depression (4 papers), Diabetes Treatment and Management (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Bone health and osteoporosis research (2 papers), Colorectal Cancer Treatments and Studies (2 papers), Gastrointestinal Tumor Research and Treatment (2 papers), Gastric Cancer Management and Outcomes (2 papers) and Diabetes Management and Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (114 citations), Pharmacology (53 citations), Statistics and Probability (49 citations), Pharmacology (92 citations) and Orthopedics and Sports Medicine (36 citations). Michael Heathman has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Jenny Y. Chien, Vikram Sinha, Stuart Friedrich, Dinesh P. de Alwis, Mary Pat Knadler, Lisa M. O’Brien, Paul D. Miller, Emmett V. Glass, Julie Satterwhite and Fernando Marín. Their work appears in journals such as Clinical Pharmacokinetics, Diabetes Obesity and Metabolism, CPT Pharmacometrics & Systems Pharmacology, British Journal of Clinical Pharmacology and The Journal of Clinical Pharmacology.

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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