Glen Apseloff

1.5k citations
55 papers · 1.1k · h-index 21

Impact in

Papers in

Glen Apseloff

53 papers receiving 1.0k citations

Peers

Glen Apseloff
Comparison fields: 5 of 119
  • Biochemistry 88
  • Pharmacology 121
  • Psychiatry and Mental health 140
  • Anesthesiology and Pain Medicine 41
  • Endocrinology, Diabetes and Metabolism 102
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Keri Wellington New Zealand
Aysun Bay Karabulut Türkiye
Li He China
Hong Ye China
Rafał Filip Poland
Masato Takeuchi Japan
Anne Ballinger United Kingdom
Guanjian Liu China
Peter A. Southorn United States
Chien‐Chih Chen Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Glen Apseloff

Since Specialization
Citations

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

Fields of papers citing papers by Glen Apseloff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005127
2 200073
3 199671
4 201456
5 199454
6 199151
7 199346
8 199937
9 199735
10 199234
11 200734
12 201231
13 199830
14 200028
15 201328
16 199328
17 199325
18 200024
19 199021
20 199620

About Glen Apseloff

Glen Apseloff is a scholar working on Public Health, Environmental and Occupational Health, Pharmacology, Molecular Biology, Physiology and Surgery, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (7 papers), Health and Medical Research Impacts (4 papers), Opioid Use Disorder Treatment (4 papers), Bipolar Disorder and Treatment (3 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers), Pharmaceutical Economics and Policy (3 papers), Epilepsy research and treatment (3 papers) and Anesthesia and Pain Management (3 papers). The work is most often cited by research in Biochemistry (88 citations), Pharmacology (121 citations), Psychiatry and Mental health (140 citations), Anesthesiology and Pain Medicine (41 citations) and Endocrinology, Diabetes and Metabolism (102 citations). Glen Apseloff has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Nicolas Gerber, Keith D. Wilner, Dale R. Shepard, D. Mullet, H. Friedman, Gary D. Stoner, Christine Sardo, J. Miceli, Alpana Singh and James H. Sanders. Their work appears in journals such as The Journal of Clinical Pharmacology, British Journal of Clinical Pharmacology, American Journal of Therapeutics, Journal of Pain and European Neuropsychopharmacology.

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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