Lee H. Silbert

1.0k citations
12 papers · 834 · h-index 12

Impact in

Papers in

Lee H. Silbert

12 papers receiving 810 citations

Peers

Lee H. Silbert
Comparison fields: 5 of 88
  • Behavioral Neuroscience 211
  • Biological Psychiatry 77
  • Neurology 206
  • Endocrine and Autonomic Systems 121
  • Cellular and Molecular Neuroscience 312
Replace N. Tan with:
N. Tan Japan
Gabriel Shimizu Bassi Brazil
P. Siaud France
Delia L. Tio United States
Jennifer C. Schiltz United States
Alan F. Sved United States
W.D. Ruwe United States
Denise I. Briggs United States
Steven F. Maier United States
Sachiko Take Japan
Lee H. Silbert relative to N. Tan Japan N. Tan's profile →
Citations per field
00.5×5.7×
N. Tan · 1×
Citations per year

Countries citing papers authored by Lee H. Silbert

Since Specialization
Citations

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

Fields of papers citing papers by Lee H. Silbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee H. Silbert. 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 Lee H. Silbert. The network helps show where Lee H. Silbert may publish in the future.

Co-authors

The 24 scholars most cited alongside Lee H. Silbert, 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 Lee H. Silbert Line = papers co-authored together Lee H. Silbert links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1995417
2 1989147
3 198866
4 199251
5 199435
6 199322
7 199321
8 199719
9 199018
10 198116
11 199611
12 199611

About Lee H. Silbert

Lee H. Silbert is a scholar working on Cellular and Molecular Neuroscience, Physiology, Behavioral Neuroscience, Cognitive Neuroscience and Surgery, having authored 12 papers that have together received 834 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (4 papers), Neuropeptides and Animal Physiology (4 papers), Stress Responses and Cortisol (4 papers), Memory and Neural Mechanisms (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 paper) and Cholesterol and Lipid Metabolism (1 paper). The work is most often cited by research in Behavioral Neuroscience (211 citations), Biological Psychiatry (77 citations), Neurology (206 citations), Endocrine and Autonomic Systems (121 citations) and Cellular and Molecular Neuroscience (312 citations). Lee H. Silbert has collaborated with scholars based in United States. Frequent co-authors include Steven F. Maier, L.R. Watkins, Lisa E. Goehler, David Martin, Jane K. Relton, Nicole Tartaglia, Steven F. Maier, Carol A. Barnes, Bruce L. McNaughton and Carl A. Castro. Their work appears in journals such as Pharmacology Biochemistry and Behavior, Brain Behavior and Immunity, Anesthesia & Analgesia, Journal of Pharmacology and Experimental Therapeutics 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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