Michael H. Court

9.9k citations
190 papers · 7.6k indexed · h-index 49

Michael H. Court

182 papers receiving 7.4k citations

Peers

Michael H. Court
Comparison fields: 5 of 132
  • Pharmacology 3.7k
  • Equine 376
  • Small Animals 882
  • Oncology 2.0k
  • Transplantation 194
Replace Edward T. Morgan with:
Edward T. Morgan United States
C.T. Viswanathan United States
David E. Moody United States
Johan Gabrielsson Sweden
Kenneth C. Lasseter United States
William F. Stenson United States
Yasufumi Sawada Japan
Tatsuji Iga Japan
Ulf Bondesson Sweden
T. B. Vree Netherlands
Michael H. Court relative to Edward T. Morgan United States Edward T. Morgan's profile →
Citations per field
00.5×10×20×31.3×
Edward T. Morgan · 1×
Citations per year

Countries citing papers authored by Michael H. Court

Since Specialization
Citations

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

Fields of papers citing papers by Michael H. Court

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20251
3 20240
4 20242
5 20235
6 202310
7 20233
8 20230
9 202233
10 201823
11 20181
12 20184
13 201712
14 20175
15 20179
16 201618
17 201365
18 200267
19 199711
20
Aging changes in the geriatric dog and their impact on anesthesia
198411

About Michael H. Court

Michael H. Court is a scholar working on Pharmacology, Equine and Small Animals, having authored 190 papers that have together received 7.6k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (80 papers), Drug Transport and Resistance Mechanisms (49 papers), Veterinary Pharmacology and Anesthesia (30 papers), Drug-Induced Hepatotoxicity and Protection (27 papers), HIV/AIDS drug development and treatment (14 papers), Antibiotics Pharmacokinetics and Efficacy (12 papers), Neonatal Health and Biochemistry (11 papers) and Inflammatory mediators and NSAID effects (11 papers). The work is most often cited by research in Pharmacology (3.7k citations), Equine (376 citations) and Small Animals (882 citations). Michael H. Court has collaborated with scholars based in United States, Canada and Finland. Frequent co-authors include David J. Greenblatt, Lisa L. von Moltke, Su Duan, Leah M. Hesse, Karthik Venkatakrishnan, Jerold S. Harmatz, Qin Hao, Richard I. Shader, David J. Greenblatt and Soundararajan Krishnaswamy. Their work appears in journals such as Drug Metabolism and Disposition, Journal of Veterinary Pharmacology and Therapeutics, American Journal of Veterinary Research, Journal of Pharmacology and Experimental Therapeutics and Xenobiotica.

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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