Jeffrey S. Mogil

40.7k citations
227 papers · 25.0k indexed · 10 hit papers · h-index 80

Jeffrey S. Mogil

223 papers receiving 24.4k citations

Hit Papers

Acute infl...175199920262008201750010001.5k2.0k2.5k

Peers

Jeffrey S. Mogil
Comparison fields: 5 of 194
  • Behavioral Neuroscience 2.2k
  • Physiology 12.1k
  • Cellular and Molecular Neuroscience 7.3k
  • Small Animals 2.4k
  • Anesthesiology and Pain Medicine 1.7k
Replace Ronald Dubner with:
Ronald Dubner United States
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Jeffrey S. Mogil relative to Ronald Dubner United States Ronald Dubner's profile →
Citations per field
00.5×3.9×
Ronald Dubner · 1×
Citations per year

Countries citing papers authored by Jeffrey S. Mogil

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey S. Mogil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey S. Mogil. 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 Jeffrey S. Mogil. The network helps show where Jeffrey S. Mogil may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1
Acute inflammatory response via neutrophil activation protects against the development of chronic painbreakdown →
2022175
2 20213
3 202013
4 201852
5 20168
6 201598
7 201527
8 2013184
9 201355
10 201227
11
Using the Mouse Grimace Scale to reevaluate the efficacy of postoperative analgesics in laboratory mice.
2012188
12 201021
13 200914
14 2009111
15 200843
16 2007134
17 200656
18 2004444
19 2002260
20 19976

About Jeffrey S. Mogil

Jeffrey S. Mogil is a scholar working on Behavioral Neuroscience, Physiology and Cellular and Molecular Neuroscience, having authored 227 papers that have together received 25.0k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (147 papers), Neuropeptides and Animal Physiology (76 papers), Receptor Mechanisms and Signaling (34 papers), Stress Responses and Cortisol (30 papers), Neuroendocrine regulation and behavior (28 papers), Pain Management and Placebo Effect (20 papers), Pharmacological Effects of Natural Compounds (19 papers) and Veterinary Pharmacology and Anesthesia (17 papers). The work is most often cited by research in Behavioral Neuroscience (2.2k citations), Physiology (12.1k citations) and Cellular and Molecular Neuroscience (7.3k citations). Jeffrey S. Mogil has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Sonya G. Wilson, John K. Belknap, Mona Lisa Chanda, Judith E. Grisel, Michael L. LaCroix‐Fralish, Susana G. Sotocinal, Elissa J. Chesler, Wendy F. Sternberg, Benjamin Kest and Alexander H. Tuttle. Their work appears in journals such as Pain, Journal of Pain, Journal of Neuroscience, Brain Research and Molecular Pain.

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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