J.P. Long

1.8k citations
123 papers · 1.4k indexed · h-index 19

Impact in

Papers in

J.P. Long

117 papers receiving 1.2k citations

Peers

J.P. Long
Comparison fields: 5 of 99
  • Cellular and Molecular Neuroscience 359
  • Anesthesiology and Pain Medicine 94
  • Molecular Biology 625
  • Pharmacology 150
  • Cancer Research 130
Replace Tsuyoshi Kihara with:
Tsuyoshi Kihara Japan
Peter J. Cox United Kingdom
Ti‐Zhi Su United States
R. Massingham Belgium
Masaaki Ueki Japan
Bernard Lévy United States
Koroku Hashimoto Japan
J B Farmer United Kingdom
Jack W. Miller United States
Georg Engel Germany
J.P. Long relative to Tsuyoshi Kihara Japan Tsuyoshi Kihara's profile →
Citations per field
00.5×1.5×2.4×
Tsuyoshi Kihara · 1×
Citations per year

Countries citing papers authored by J.P. Long

Since Specialization
Citations

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

Fields of papers citing papers by J.P. Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.P. Long. 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 J.P. Long. The network helps show where J.P. Long may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20241
3 20244
4 20240
5 20244
6 20236
7 20238
8 19948
9 19916
10 19914
11 19909
12 19882
13 19750
14 197118
15 196925
16 19678
17 19669
18 196613
19 19652
20 19619

About J.P. Long

J.P. Long is a scholar working on Cellular and Molecular Neuroscience, Pharmacology, Anesthesiology and Pain Medicine, Pharmacology and Organic Chemistry, having authored 123 papers that have together received 1.4k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (20 papers), Neurotransmitter Receptor Influence on Behavior (18 papers), Pharmacological Receptor Mechanisms and Effects (17 papers), Pain Mechanisms and Treatments (17 papers), Ion channel regulation and function (11 papers), Chemical synthesis and alkaloids (10 papers), Cancer Treatment and Pharmacology (9 papers) and Nicotinic Acetylcholine Receptors Study (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (359 citations), Anesthesiology and Pain Medicine (94 citations), Molecular Biology (625 citations), Pharmacology (150 citations) and Cancer Research (130 citations). J.P. Long has collaborated with scholars based in United States and China. Frequent co-authors include Joseph G. Cannon, Kenneth L. Dretchen, C.Y. Chiou, Thomas F. Burks, Stephen P. Arnerić, Charles B. Pittinger, F. W. Schueler, Martin D. Sokoll, McClellan M. Walther and Richard B. Alexander. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Experimental Biology and Medicine, Journal of Pharmaceutical Sciences, European Journal of Pharmacology and Journal of Medicinal Chemistry.

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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