David F. Kisor

1.8k citations
71 papers · 1.3k indexed · h-index 21

David F. Kisor

67 papers receiving 1.2k citations

Peers

David F. Kisor
Comparison fields: 5 of 109
  • Anesthesiology and Pain Medicine 272
  • Pharmacology 232
  • Toxicology 70
  • Geriatrics and Gerontology 61
  • Developmental Neuroscience 61
Replace Jake J. Thiessen with:
Jake J. Thiessen Canada
C Aguirre Spain
Marc R. Gastonguay United States
P. Stenberg Sweden
Michael D. Karol United States
Betty S. Chan Australia
Diane Liu United States
Pyry A. J. Välitalo Netherlands
Cheng Wu China
Daniël M. Jonker Denmark
David F. Kisor relative to Jake J. Thiessen Canada Jake J. Thiessen's profile →
Citations per field
00.5×10.2×
Jake J. Thiessen · 1×
Citations per year

Countries citing papers authored by David F. Kisor

Since Specialization
Citations

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

Fields of papers citing papers by David F. Kisor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David F. Kisor. 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 David F. Kisor. The network helps show where David F. Kisor may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20243
3 20242
4 20235
5 202113
6 202129
7 20219
8 201720
9 201610
10 20160
11 20151
12 200737
13 20064
14 20006
15 199967
16 199879
17 199674
18 199672
19 199492
20 19902

About David F. Kisor

David F. Kisor is a scholar working on Pharmacology, Anesthesiology and Pain Medicine and Toxicology, having authored 71 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (23 papers), Pharmaceutical studies and practices (11 papers), Anesthesia and Sedative Agents (10 papers), Antibiotics Pharmacokinetics and Efficacy (8 papers), Neurotransmitter Receptor Influence on Behavior (7 papers), Acute Lymphoblastic Leukemia research (7 papers), Pharmaceutical Practices and Patient Outcomes (6 papers) and Forensic Toxicology and Drug Analysis (6 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (272 citations), Pharmacology (232 citations) and Toxicology (70 citations). David F. Kisor has collaborated with scholars based in United States, Chile and United Kingdom. Frequent co-authors include Virginia D. Schmith, D. Ryan Cook, William A. Wargin, Cynthia A. Lien, Beverly S. Mitchell, Varsha Gandhi, Joanne Kurtzberg, Michael J. Keating, David R. Bright and Jon E. Sprague. Their work appears in journals such as Pharmacogenomics, American Journal of Pharmaceutical Education, Anesthesiology, Journal of Clinical Oncology and Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy.

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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