John E. Pintar

12.7k citations
186 papers · 10.8k · h-index 59

Impact in

Papers in

John E. Pintar

186 papers receiving 10.4k citations

Peers

John E. Pintar
Comparison fields: 5 of 130
  • Cellular and Molecular Neuroscience 4.7k
  • Endocrine and Autonomic Systems 785
  • Behavioral Neuroscience 377
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Molecular Biology 5.4k
Replace Stefan Schulz with:
Stefan Schulz Germany
Volker Höllt Germany
Thierry Pedrazzini Switzerland
Bertrand Bloch France
A.A.J. Verhofstad Netherlands
David Vaudry France
Kevin R. Lynch United States
James E. Krause United States
Jürgen Wess United States
Brian F. O’Dowd Canada
John E. Pintar relative to Stefan Schulz Germany Stefan Schulz's profile →
Citations per field
00.5×1.5×1.8×
Stefan Schulz · 1×
Citations per year

Countries citing papers authored by John E. Pintar

Since Specialization
Citations

This map shows the geographic impact of John E. Pintar'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. Pintar 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. Pintar more than expected).

Fields of papers citing papers by John E. Pintar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 186 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982469
2 1989442
3 1999376
4 2004337
5 1999271
6 1990207
7 2005195
8 1999194
9 1988179
10 1984176
11 2008168
12 2013163
13 2019162
14 2007149
15 1987148
16 1998148
17 1998147
18 1990147
19 1978147
20 2006141

About John E. Pintar

John E. Pintar is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism and Genetics, having authored 186 papers that have together received 10.8k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (91 papers), Receptor Mechanisms and Signaling (61 papers), Growth Hormone and Insulin-like Growth Factors (35 papers), Pain Mechanisms and Treatments (26 papers), Regulation of Appetite and Obesity (17 papers), Neurotransmitter Receptor Influence on Behavior (16 papers), Pharmacological Receptor Mechanisms and Effects (16 papers) and Adipose Tissue and Metabolism (15 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (4.7k citations), Endocrine and Autonomic Systems (785 citations), Behavioral Neuroscience (377 citations), Endocrinology, Diabetes and Metabolism (1.4k citations) and Molecular Biology (5.4k citations). John E. Pintar has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Alwin G. Schuller, Xandra O. Breakefield, Pat Levitt, Teresa L. Wood, Gavril W. Pasternak, Malcolm J. Low, Michael A. King, Argiris Efstratiadis, Yanxin Zhu and Bonnie Peng. Their work appears in journals such as Developmental Biology, Neuroscience, Molecular Endocrinology, Proceedings of the National Academy of Sciences and Endocrinology.

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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