Gary M. Pollack

135 papers receiving 5.1k citations

Peers

Gary M. Pollack
Comparison fields: 5 of 154
  • Pharmacology 726
  • Pediatrics, Perinatology and Child Health 1.4k
  • Oncology 2.1k
  • Pharmaceutical Science 359
  • Cellular and Molecular Neuroscience 682
Replace Margareta Hammarlund‐Udenaes with:
Margareta Hammarlund‐Udenaes Sweden
Elizabeth C. M. de Lange Netherlands
D. D. Breimer Netherlands
Xavier Declèves France
Shun Higuchi Japan
Donna McTavish New Zealand
Reynold Spector United States
Bob Wilffert Netherlands
Christopher D. King United States
Natalie D. Eddington United States
Gary M. Pollack relative to Margareta Hammarlund‐Udenaes Sweden Margareta Hammarlund‐Udenaes's profile →
Citations per field
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Margareta Hammarlund‐Udenaes · 1×
Citations per year

Countries citing papers authored by Gary M. Pollack

Since Specialization
Citations

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

Fields of papers citing papers by Gary M. Pollack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary M. Pollack. 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 Gary M. Pollack. The network helps show where Gary M. Pollack may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005204
2 2008202
3 2003185
4 2001168
5 2007165
6 2000163
7 2006161
8 1999145
9 2003144
10 2007121
11 2009112
12 2003111
13 2004103
14 198597
15 199995
16 200895
17 200688
18 200083
19 199881
20 198579

About Gary M. Pollack

Gary M. Pollack is a scholar working on Pediatrics, Perinatology and Child Health, Oncology, Cellular and Molecular Neuroscience, Pharmacology and Physiology, having authored 138 papers that have together received 5.3k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (57 papers), Pharmacological Effects and Toxicity Studies (55 papers), Epilepsy research and treatment (18 papers), Pharmacogenetics and Drug Metabolism (17 papers), Neuropeptides and Animal Physiology (13 papers), Neuroscience and Neuropharmacology Research (9 papers), Pain Mechanisms and Treatments (8 papers) and HIV/AIDS drug development and treatment (8 papers). The work is most often cited by research in Pharmacology (726 citations), Pediatrics, Perinatology and Child Health (1.4k citations), Oncology (2.1k citations), Pharmaceutical Science (359 citations) and Cellular and Molecular Neuroscience (682 citations). Gary M. Pollack has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Kim L. R. Brouwer, Candace Graff, J. Cory Kalvass, Claude Dagenais, Adam M. Persky, Emily O. Dumas, Stephen P. Letrent, Jian Zong, Danny D. Shen and Kenneth R. Brouwer. Their work appears in journals such as Pharmaceutical Research, Drug Metabolism and Disposition, Journal of Pharmaceutical Sciences, Journal of Pharmacology and Experimental Therapeutics and Biochemical 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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