Jack D. Shepard

1.6k citations
14 papers · 1.4k · h-index 12

Impact in

Papers in

Jack D. Shepard

14 papers receiving 1.3k citations

Peers

Jack D. Shepard
Comparison fields: 5 of 72
  • Behavioral Neuroscience 411
  • Cellular and Molecular Neuroscience 605
  • Gastroenterology 169
  • Endocrine and Autonomic Systems 36
  • Physiology 159
Replace Luis A. Pavcovich with:
Luis A. Pavcovich Argentina
Eric E.O. Colago United States
Hideyasu Yokoo Japan
Judy F. McIntosh Canada
Ryan K. Butler United States
Donna J. Kocan United States
Shuaike Ma United States
Richard Hauger United States
Maxime Faudon France
J. Timothy Cannon United States
Jack D. Shepard relative to Luis A. Pavcovich Argentina Luis A. Pavcovich's profile →
Citations per field
00.5×2×3×4.4×
Luis A. Pavcovich · 1×
Citations per year

Countries citing papers authored by Jack D. Shepard

Since Specialization
Citations

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

Fields of papers citing papers by Jack D. Shepard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Jack D. Shepard, 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 Jack D. Shepard Line = papers co-authored together Jack D. Shepard links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2000282
2 2004257
3 2003235
4 2001114
5 2000111
6 200398
7 200565
8 200657
9 200650
10 200749
11 199630
12 200912
13
A measure of the knowledge reorganization underlying insight
19909
14 20166

About Jack D. Shepard

Jack D. Shepard is a scholar working on Behavioral Neuroscience, Cellular and Molecular Neuroscience, Gastroenterology, Pharmacology and Pharmacology, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include Stress Responses and Cortisol (7 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Gastrointestinal motility and disorders (2 papers), Coffee research and impacts (1 paper), Pharmacogenetics and Drug Metabolism (1 paper), Memory Processes and Influences (1 paper), Creativity in Education and Neuroscience (1 paper) and Design Education and Practice (1 paper). The work is most often cited by research in Behavioral Neuroscience (411 citations), Cellular and Molecular Neuroscience (605 citations), Gastroenterology (169 citations), Endocrine and Autonomic Systems (36 citations) and Physiology (159 citations). Jack D. Shepard has collaborated with scholars based in United States and France. Frequent co-authors include Dean A. Myers, Yavin Shaham, Kirk W. Barron, Jennifer M. Bossert, Lin Lü, Frank Scott Hall, Robert D. Foreman, Jay A. Schulkin, Beverley Greenwood–Van Meerveld and Paolo Sassone‐Corsi. Their work appears in journals such as Behavioural Brain Research, Brain Research, Journal of Neuroscience, Psychopharmacology and Biological Psychiatry.

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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