Chaim G. Pick

8.2k citations
179 papers · 6.6k indexed · h-index 49

Impact in

  • Neurology top 0.5%
    • Traumatic Brain Injury and Neurovascular Disturbances
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neuropeptides and Animal Physiology
    • Neuroscience and Neuropharmacology Research

Papers in

Chaim G. Pick

175 papers receiving 6.5k citations

Peers

Chaim G. Pick
Comparison fields: 5 of 145
  • Neurology 1.6k
  • Cellular and Molecular Neuroscience 1.8k
  • Behavioral Neuroscience 334
  • Developmental Neuroscience 383
  • Biological Psychiatry 215
Replace Edward G. Stopa with:
Edward G. Stopa United States
Roger Walz Brazil
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Stephen M. Sagar United States
Carlo Ferrarese Italy
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Nenad Bogdanović Sweden
Wai Haung Yu United States
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Citations per field
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Citations per year

Countries citing papers authored by Chaim G. Pick

Since Specialization
Citations

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

Fields of papers citing papers by Chaim G. Pick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chaim G. Pick. 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 Chaim G. Pick. The network helps show where Chaim G. Pick may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20230
4 20233
5 20228
6 20215
7 202138
8 20203
9 201827
10 201725
11 201739
12
Incretin mimetics as pharmacological tools to elucidate and as a new drug strategy to treat traumatic brain injury
201425
13 201054
14 20097
15 200634
16 200353
17 200328
18 199664
19 199217
20 199142

About Chaim G. Pick

Chaim G. Pick is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Neurology, Biological Psychiatry and Neurology, having authored 179 papers that have together received 6.6k indexed citations. Recurring topics across this work include Traumatic Brain Injury and Neurovascular Disturbances (37 papers), Pain Mechanisms and Treatments (35 papers), Neuroscience and Neuropharmacology Research (30 papers), Neuropeptides and Animal Physiology (25 papers), Pharmacological Receptor Mechanisms and Effects (19 papers), S100 Proteins and Annexins (16 papers), Neurotransmitter Receptor Influence on Behavior (15 papers) and Memory and Neural Mechanisms (14 papers). The work is most often cited by research in Neurology (1.6k citations), Cellular and Molecular Neuroscience (1.8k citations), Behavioral Neuroscience (334 citations), Developmental Neuroscience (383 citations) and Biological Psychiatry (215 citations). Chaim G. Pick has collaborated with scholars based in Israel, United States and Taiwan. Frequent co-authors include Shaul Schreiber, Gavril W. Pasternak, Vardit Rubovitch, Yuri Kolesnikov, Joseph Yanai, Ruth Defrin, Nigel H. Greig, Joab Chapman, Anat Milman and David Tweedie. Their work appears in journals such as Brain Research, Scientific Reports, Journal of Molecular Neuroscience, European Journal of Pharmacology and International Journal of Developmental Neuroscience.

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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