John E. Starrett

36 papers receiving 1.5k citations

Peers

John E. Starrett
Comparison fields: 5 of 90
  • Virology 198
  • Infectious Diseases 380
  • Organic Chemistry 614
  • Cellular and Molecular Neuroscience 326
  • Pharmaceutical Science 107
Replace Terence G. Hamill with:
Terence G. Hamill United States
Albert Jaxa‐Chamiec United Kingdom
Michael Bös Switzerland
Bruce W. Surber United States
Francesco G. Salituro United States
Ethel C. Garnier‐Amblard United States
Dino Nisato France
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John E. Starrett relative to Terence G. Hamill United States Terence G. Hamill's profile →
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Citations per year

Countries citing papers authored by John E. Starrett

Since Specialization
Citations

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

Fields of papers citing papers by John E. Starrett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. Starrett. 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 John E. Starrett. The network helps show where John E. Starrett may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989195
2 2002168
3 1996152
4 200294
5 200389
6 198987
7 198982
8 199073
9 200168
10 199161
11
Cognition-enhancing drugs increase stimulated hippocampal theta rhythm amplitude in the urethane-anesthetized rat.
199960
12 200752
13 200439
14 199138
15 199938
16 199634
17 200231
18 200428
19 200423
20 200317

About John E. Starrett

John E. Starrett is a scholar working on Molecular Biology, Organic Chemistry, Infectious Diseases, Cellular and Molecular Neuroscience and Virology, having authored 37 papers that have together received 1.5k indexed citations. Recurring topics across this work include Ion channel regulation and function (13 papers), HIV/AIDS drug development and treatment (10 papers), Neuroscience and Neuropharmacology Research (9 papers), Coordination Chemistry and Organometallics (7 papers), Nicotinic Acetylcholine Receptors Study (5 papers), HIV Research and Treatment (4 papers), Urinary Bladder and Prostate Research (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Virology (198 citations), Infectious Diseases (380 citations), Organic Chemistry (614 citations), Cellular and Molecular Neuroscience (326 citations) and Pharmaceutical Science (107 citations). John E. Starrett has collaborated with scholars based in United States and Germany. Frequent co-authors include Valentin K. Gribkoff, Christopher G. Boissard, Muzammil M. Mansuri, Steven I. Dworetzky, John C. Martin, Piyasena Hewawasam, Nicholas A. Meanwell, V Brankovan, Michael J. M. Hitchcock and Ismail Ghazzouli. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics, Current Pharmaceutical Design and Biochemical and Biophysical Research Communications.

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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