Jay Ham

1.9k citations
12 papers · 1.3k · 1 hit paper · h-index 8

Impact in

Papers in

Jay Ham

10 papers receiving 1.3k citations

Jay Ham's Hit Papers

Simultaneous modeling of pharmacokinetics and pharmacodynamics: Application to d‐tubocurarine 1979 · 879 citations
8790+15+31Years since publication250500750

Peers

Jay Ham
Comparison fields: 5 of 110
  • Anesthesiology and Pain Medicine 492
  • Developmental Neuroscience 145
  • Pharmacology 296
  • Critical Care and Intensive Care Medicine 89
  • Pharmacology 141
Replace D. R. Stanski with:
D. R. Stanski United States
Thomas K. Henthorn United States
Markku Anttila Finland
Virginia D. Schmith United States
Yukio Horai Japan
Ann Locniskar United States
L. Saarnivaara Finland
Achiel Van Peer Belgium
Teijo I. Saari Finland
Samuel Vožeh Switzerland
Jay Ham relative to D. R. Stanski United States D. R. Stanski's profile →
Citations per field
00.5×1.6×
D. R. Stanski · 1×
Citations per year

Countries citing papers authored by Jay Ham

Since Specialization
Citations

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

Fields of papers citing papers by Jay Ham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Jay Ham, 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 Jay Ham Line = papers co-authored together Jay Ham links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Simultaneous modeling of pharmacokinetics and pharmacodynamics: Application to d‐tubocurarine
Hit paper breakdown →
1979879
2 1980290
3 197968
4 197930
5 197829
6 198020
7 198114
8 197910
9 19763
10 19782
11 19801
12
Clinical anesthesia: case selections from the University of California, San Francisco
20100

About Jay Ham

Jay Ham is a scholar working on Anesthesiology and Pain Medicine, Developmental Neuroscience, Pharmacology, Cardiology and Cardiovascular Medicine and Physiology, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include Anesthesia and Sedative Agents (6 papers), Anesthesia and Neurotoxicity Research (3 papers), Cardiac, Anesthesia and Surgical Outcomes (2 papers), Pain Mechanisms and Treatments (1 paper), Veterinary Pharmacology and Anesthesia (1 paper), Drug-Induced Ocular Toxicity (1 paper), Respiratory Support and Mechanisms (1 paper) and Antibiotics Pharmacokinetics and Efficacy (1 paper). The work is most often cited by research in Anesthesiology and Pain Medicine (492 citations), Developmental Neuroscience (145 citations), Pharmacology (296 citations), Critical Care and Intensive Care Medicine (89 citations) and Pharmacology (141 citations). Jay Ham has collaborated with scholars based in United States and France. Frequent co-authors include Ronald D. Miller, Donald R. Stanski, Lewis B. Sheiner, Samuel Vožeh, Walter L. Way, Paul F. White, Anthony J. Trevor, Ronald D. Miller, Richard S. Matteo and Leslie Z. Benet. Their work appears in journals such as Anesthesiology, Critical Care Medicine, Clinical Pharmacology & Therapeutics, ASA Refresher Courses in Anesthesiology and Medical Entomology and Zoology.

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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