Michael Heathman

835 citations
24 papers · 604 indexed · h-index 12

Michael Heathman

23 papers receiving 579 citations

Peers

Michael Heathman
Comparison fields: 5 of 97
  • Endocrinology, Diabetes and Metabolism 127
  • Statistics and Probability 60
  • Pharmacology 63
  • Pharmacology 113
  • Oncology 135
Replace Nianping Hu with:
Nianping Hu Canada
Gregory B. Holmes United States
M. Urooj Zafar United States
Megan Kane United States
Jason D. Roberts Canada
Matt Hutmacher United States
Chia‐Hsiang Hsueh United States
Christian Friedrich Germany
Atalanta Ghosh United States
Christian Stratz Germany
Michael Heathman relative to Nianping Hu Canada Nianping Hu's profile →
Citations per field
00.5×7.9×
Nianping Hu · 1×
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-authorship network

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
#Work
1 20250
2 20224
3 20221
4 20201
5 20193
6 201811
7 201734
8 201721
9 201575
10 201519
11 201449
12 201211
13 201079
14 201028
15 200937
16 20091
17 2005119
18 200354
19 200010
20 19897

About Michael Heathman

Michael Heathman is a scholar working on Pharmacology, Family Practice and Pharmacology, having authored 24 papers that have together received 604 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (4 papers), Diabetes Management and Research (4 papers), Diabetes Treatment and Management (4 papers), Treatment of Major Depression (4 papers), Pharmacology and Obesity Treatment (3 papers), Gastric Cancer Management and Outcomes (3 papers), Colorectal Cancer Treatments and Studies (2 papers) and Electroconvulsive Therapy Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (127 citations), Statistics and Probability (60 citations) and Pharmacology (63 citations). Michael Heathman has collaborated with scholars based in United States, United Kingdom and Czechia. Frequent co-authors include Jenny Y. Chien, Vikram Sinha, Stuart Friedrich, Dinesh P. de Alwis, Mary Pat Knadler, Lisa M. O’Brien, Julie Satterwhite, Paul D. Miller, Emmett V. Glass and Fernando Marín. Their work appears in journals such as Clinical Pharmacokinetics, Diabetes Obesity and Metabolism, CPT Pharmacometrics & Systems Pharmacology, The Journal of Clinical Pharmacology and British 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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