Gad Klein

667 citations
13 papers · 466 · h-index 13

Impact in

Papers in

    • Neuropeptides and Animal Physiology 7
    • Neurotransmitter Receptor Influence on Behavior 3
    • Neuroscience and Neuropharmacology Research 2
    • Pharmacological Receptor Mechanisms and Effects 3
    • Receptor Mechanisms and Signaling 3
    • Peroxisome Proliferator-Activated Receptors 1

Gad Klein

13 papers receiving 456 citations

Peers

Gad Klein
Comparison fields: 5 of 68
  • Cellular and Molecular Neuroscience 217
  • Behavioral Neuroscience 37
  • Physiology 163
  • Endocrine and Autonomic Systems 38
  • Anesthesiology and Pain Medicine 25
Replace Stéphanie Grégoire with:
Stéphanie Grégoire Canada
Emilie Laboureyras France
Christina A Palmese United States
Hye Jean Yoon United States
Janne Lähdesmäki Finland
Anne Tammimäki Finland
Judith A. Kiritsy‐Roy United States
Michele Hummel United States
Th. Duka Germany
Hillary Doyle United States
Gad Klein relative to Stéphanie Grégoire Canada Stéphanie Grégoire's profile →
Citations per field
00.5×1.5×
Stéphanie Grégoire · 1×
Citations per year

Countries citing papers authored by Gad Klein

Since Specialization
Citations

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

Fields of papers citing papers by Gad Klein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gad Klein. 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 Gad Klein. The network helps show where Gad Klein may publish in the future.

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 200565
2 200663
3 200762
4 200652
5 200950
6 200442
7 200828
8 200821
9 201019
10 200918
11 201617
12 200815
13 200914

About Gad Klein

Gad Klein is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Cognitive Neuroscience and Psychiatry and Mental health, having authored 13 papers that have together received 466 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (7 papers), Pain Mechanisms and Treatments (6 papers), Pharmacological Receptor Mechanisms and Effects (3 papers), Receptor Mechanisms and Signaling (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Epilepsy research and treatment (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Peroxisome Proliferator-Activated Receptors (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (217 citations), Behavioral Neuroscience (37 citations), Physiology (163 citations), Endocrine and Autonomic Systems (38 citations) and Anesthesiology and Pain Medicine (25 citations). Gad Klein has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Richard J. Bodnar, Benjamin Kest, Aaron Juni, John E. Pintar, Ashesh D. Mehta, Amanda R. Waxman, Caroline A. Arout, Charles E. Inturrisi, Jeffrey S. Mogil and Albert Dahan. Their work appears in journals such as Peptides, Epilepsy & Behavior, Neuroscience, Pharmacology Biochemistry and Behavior and Brain Research.

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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