John D. Connor

1.9k citations
42 papers · 1.6k · h-index 21

Impact in

Papers in

John D. Connor

41 papers receiving 1.4k citations

Peers

John D. Connor
Comparison fields: 5 of 99
  • Cellular and Molecular Neuroscience 915
  • Toxicology 83
  • Endocrine and Autonomic Systems 96
  • Behavioral Neuroscience 49
  • Neurology 198
Replace A. Groppetti with:
A. Groppetti Italy
Charles O. Rutledge United States
Gerald Gianutsos United States
Mariapia Colleoni Italy
Edward Majchrowicz United States
Jennifer Ong Australia
J.M. Khanna Canada
I.K. Ho United States
Maciej Ga̧sior United States
G. Hertting Germany
John D. Connor relative to A. Groppetti Italy A. Groppetti's profile →
Citations per field
00.5×1.6×
A. Groppetti · 1×
Citations per year

Countries citing papers authored by John D. Connor

Since Specialization
Citations

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

Fields of papers citing papers by John D. Connor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1970205
2 1970190
3 1972132
4 1978127
5 197870
6 200069
7 198066
8 196859
9 198052
10 197752
11 196649
12 200546
13 196740
14 198340
15 200236
16 196629
17 198028
18 198424
19
Inhibitors of phosphatidylinositide 3-kinase: effects on reactive oxygen species and platelet aggregation.
200821
20 197820

About John D. Connor

John D. Connor is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Physiology and Nutrition and Dietetics, having authored 42 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (15 papers), Neurotransmitter Receptor Influence on Behavior (11 papers), Neurological disorders and treatments (6 papers), Receptor Mechanisms and Signaling (4 papers), Forensic Toxicology and Drug Analysis (3 papers), Psychedelics and Drug Studies (3 papers), Neuroscience and Neural Engineering (3 papers) and Trace Elements in Health (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (915 citations), Toxicology (83 citations), Endocrine and Autonomic Systems (96 citations), Behavioral Neuroscience (49 citations) and Neurology (198 citations). John D. Connor has collaborated with scholars based in United States, Pakistan and Ethiopia. Frequent co-authors include Robert S. Sloviter, Eugene G. Drust, I. L. Crawford, James S. Taylor, Walter B. Severs, Joan Y. Summy‐Long, Eyasu Makonnen, Walter W. Baker, G Rossi and Bruce P. Damiano. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Brain Research, Neuropharmacology, Journal of Neurochemistry and 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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