Gad E. Klein
Impact in
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- Neuropeptides and Animal Physiology
- Neurotransmitter Receptor Influence on Behavior
- Neuroscience and Neuropharmacology Research
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
Papers in
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- Neuropeptides and Animal Physiology 7
- Neurotransmitter Receptor Influence on Behavior 3
- Neuroscience and Neuropharmacology Research 2
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- Pain Mechanisms and Treatments 6
- Co-authors
- Richard J. Bodnar (3 shared papers)Benjamin Kest (7 shared papers)Aaron Juni (6 shared papers)John E. Pintar (1 shared paper)Ashesh D. Mehta (3 shared papers)Amanda R. Waxman (4 shared papers)Caroline A. Arout (3 shared papers)Charles E. Inturrisi (3 shared papers)
- Journals
- Peptides (3 papers)Neuroscience (2 papers)Epilepsy & Behavior (2 papers)Epilepsy Research (1 paper)JAMA (1 paper)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Gad E. Klein
14 papers receiving 507 citations
Peers
Comparison fields: 5 of 76
- Cellular and Molecular Neuroscience 224
- Behavioral Neuroscience 37
- Physiology 168
- Endocrine and Autonomic Systems 41
- Anesthesiology and Pain Medicine 31
Countries citing papers authored by Gad E. Klein
This map shows the geographic impact of Gad E. 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 E. 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 E. Klein more than expected).
Fields of papers citing papers by Gad E. Klein
This network shows the impact of papers produced by Gad E. 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 E. Klein. The network helps show where Gad E. Klein may publish in the future.
Co-authors
The 25 scholars most cited alongside Gad E. Klein, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 69 | |
| 2 | 2006 | 65 | |
| 3 | 2007 | 64 | |
| 4 | 2009 | 55 | |
| 5 | 2006 | 54 | |
| 6 | 2004 | 44 | |
| 7 | 2022 | 35 | |
| 8 | 2008 | 31 | |
| 9 | 2008 | 21 | |
| 10 | 2010 | 20 | |
| 11 | 2009 | 19 | |
| 12 | 2016 | 19 | |
| 13 | 2009 | 15 | |
| 14 | 2008 | 15 | |
| 15 | 2026 | 0 |
About Gad E. Klein
Gad E. Klein is a scholar working on Cellular and Molecular Neuroscience, Physiology, Critical Care and Intensive Care Medicine, Cognitive Neuroscience and Molecular Biology, having authored 15 papers that have together received 526 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (7 papers), Pain Mechanisms and Treatments (6 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Pharmacological Receptor Mechanisms and Effects (3 papers), Receptor Mechanisms and Signaling (3 papers), Intensive Care Unit Cognitive Disorders (2 papers), Epilepsy research and treatment (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (224 citations), Behavioral Neuroscience (37 citations), Physiology (168 citations), Endocrine and Autonomic Systems (41 citations) and Anesthesiology and Pain Medicine (31 citations). Gad E. 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 Minying Cai. Their work appears in journals such as Peptides, Neuroscience, Epilepsy & Behavior, Epilepsy Research and JAMA.
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.