John D. Connor

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

John D. Connor

42 papers receiving 1.5k citations

Peers

John D. Connor
Comparison fields: 5 of 99
  • Cellular and Molecular Neuroscience 972
  • Toxicology 79
  • Endocrine and Autonomic Systems 112
  • Behavioral Neuroscience 52
  • Neurology 201
Replace A. Groppetti with:
A. Groppetti Italy
Charles O. Rutledge United States
Gabriella Giagnoni Italy
Edward Majchrowicz United States
G. Hertting Germany
Shigeo Kitayama Japan
J.M. Khanna Canada
I.K. Ho United States
K. Kuschinsky Germany
T.S. Miya United States
John D. Connor relative to A. Groppetti Italy A. Groppetti's profile →
Citations per field
00.5×1.5×
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-authorship network

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
#Work
1 200811
2
Inhibitors of phosphatidylinositide 3-kinase: effects on reactive oxygen species and platelet aggregation.
200821
3 200546
4 200236
5 20015
6 200013
7 199314
8 19923
9 19921
10 198340
11 198052
12 198028
13 1978127
14 197870
15 197711
16 197610
17 1970190
18 197019
19 196740
20 196649

About John D. Connor

John D. Connor is a scholar working on Cellular and Molecular Neuroscience, Toxicology, Neurology, Biochemistry and Sensory Systems, 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 (5 papers), Neuropeptides and Animal Physiology (4 papers), Parkinson's Disease Mechanisms and Treatments (3 papers), Diet and metabolism studies (3 papers) and Psychedelics and Drug Studies (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (972 citations), Toxicology (79 citations), Endocrine and Autonomic Systems (112 citations), Behavioral Neuroscience (52 citations) and Neurology (201 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, Joan Y. Summy‐Long, Walter B. Severs, James S. Taylor, 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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