John E. Piletz

3.6k citations
97 papers · 2.9k indexed · h-index 32

John E. Piletz

97 papers receiving 2.8k citations

Peers

John E. Piletz
Comparison fields: 5 of 110
  • Biological Psychiatry 496
  • Behavioral Neuroscience 304
  • Cellular and Molecular Neuroscience 1.3k
  • Endocrine and Autonomic Systems 165
  • Molecular Biology 1.5k
Replace Carlos Fernando Mello with:
Carlos Fernando Mello Brazil
Patrícia S. Brocardo Brazil
Arubala P. Reddy United States
Ann M. Marini United States
Teruhiko Matsumiya Japan
Youssef Sari United States
Larisa Bobrovskaya Australia
Vincent Castagné France
Masayuki Hiramatsu Japan
Shupeng Li China
John E. Piletz relative to Carlos Fernando Mello Brazil Carlos Fernando Mello's profile →
Citations per field
00.5×1.5×2.2×
Carlos Fernando Mello · 1×
Citations per year

Countries citing papers authored by John E. Piletz

Since Specialization
Citations

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

Fields of papers citing papers by John E. Piletz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John E. Piletz. 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 John E. Piletz. The network helps show where John E. Piletz may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20203
2 201930
3
Agmatine and imidazolines : their novel receptors and enzymes
20035
4 20038
5 20032
6 200368
7 200316
8 200295
9 200244
10 200091
11 200043
12 19989
13 199829
14 199718
15 199793
16 199638
17 199210
18 19917
19 199011
20 198366

About John E. Piletz

John E. Piletz is a scholar working on Biological Psychiatry, Cellular and Molecular Neuroscience, Behavioral Neuroscience, Molecular Biology and Psychiatry and Mental health, having authored 97 papers that have together received 2.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (33 papers), Neurotransmitter Receptor Influence on Behavior (31 papers), Tryptophan and brain disorders (16 papers), Neuroscience and Neuropharmacology Research (9 papers), Trace Elements in Health (9 papers), Stress Responses and Cortisol (8 papers), Neuroendocrine regulation and behavior (8 papers) and Pharmacological Effects and Assays (7 papers). The work is most often cited by research in Biological Psychiatry (496 citations), Behavioral Neuroscience (304 citations), Cellular and Molecular Neuroscience (1.3k citations), Endocrine and Autonomic Systems (165 citations) and Molecular Biology (1.5k citations). John E. Piletz has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Angelos Halaris, He Zhu, Paul Ernsberger, Yangzheng Feng, S. Regunathan, Harvey R. Herschman, Knut Sletten, Roger E. Ganschow, Robert D. Andersen and Michael H. LeBlanc. Their work appears in journals such as Annals of the New York Academy of Sciences, Journal of Psychiatric Research, Biological Psychiatry, Biochemical Genetics and Journal of Pharmacology and Experimental Therapeutics.

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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