John E. Pintar

12.7k citations
180 papers · 10.2k · h-index 59

Impact in

Papers in

John E. Pintar

180 papers receiving 9.9k citations

Peers

John E. Pintar
Comparison fields: 5 of 127
  • Cellular and Molecular Neuroscience 4.4k
  • Endocrine and Autonomic Systems 745
  • Behavioral Neuroscience 338
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Physiology 1.8k
Replace Stefan Schulz with:
Stefan Schulz Germany
Thierry Pedrazzini Switzerland
Volker Höllt Germany
A.A.J. Verhofstad Netherlands
Bertrand Bloch France
David Vaudry France
Kevin R. Lynch United States
Jürgen Wess United States
James E. Krause 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 180 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1982436
2 1989417
3 1999339
4 2004315
5 1999261
6 1990197
7 2005187
8 1999186
9 1988165
10 1984163
11 2013161
12 2019156
13 2008149
14 2007143
15 1998142
16 1998141
17 1987139
18 1990134
19 1978134
20 2006133

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 180 papers that have together received 10.2k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (88 papers), Receptor Mechanisms and Signaling (59 papers), Growth Hormone and Insulin-like Growth Factors (35 papers), Pain Mechanisms and Treatments (25 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 (4.4k citations), Endocrine and Autonomic Systems (745 citations), Behavioral Neuroscience (338 citations), Endocrinology, Diabetes and Metabolism (1.3k citations) and Physiology (1.8k 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, Michael A. King, Malcolm J. Low, Yanxin Zhu, Argiris Efstratiadis 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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