Philip Posner

1.6k citations
52 papers · 1.3k · h-index 18

Impact in

Papers in

Philip Posner

47 papers receiving 1.3k citations

Peers

Philip Posner
Comparison fields: 5 of 92
  • Cardiology and Cardiovascular Medicine 735
  • Cellular and Molecular Neuroscience 284
  • Endocrinology, Diabetes and Metabolism 219
  • Endocrine and Autonomic Systems 69
  • Molecular Biology 719
Replace Claude Chevillard with:
Claude Chevillard France
Albino García‐Sacristán Spain
Hubert Dabiré France
Yoshihisa Nasa Japan
Christer Strömberg United States
Keifu Song Japan
D. S. Goldstein United States
Roger Boucher Canada
J. S. Hutchinson Australia
William E. Schutzer United States
Philip Posner relative to Claude Chevillard France Claude Chevillard's profile →
Citations per field
00.5×5.2×
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Citations per year

Countries citing papers authored by Philip Posner

Since Specialization
Citations

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

Fields of papers citing papers by Philip Posner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip Posner. 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 Philip Posner. The network helps show where Philip Posner may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994117
2 1995107
3 2016107
4 2004102
5 199682
6 199382
7 199469
8 199764
9 199862
10 199253
11 199947
12 199738
13 199737
14 199731
15 197629
16 199626
17 199625
18 198520
19 200116
20 197514

About Philip Posner

Philip Posner is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Social Psychology, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ion channel regulation and function (22 papers), Receptor Mechanisms and Signaling (21 papers), Cardiac electrophysiology and arrhythmias (13 papers), Renin-Angiotensin System Studies (10 papers), Neuroscience and Neuropharmacology Research (9 papers), Cardiovascular Function and Risk Factors (5 papers), Neuroendocrine regulation and behavior (4 papers) and Pharmacological Effects and Assays (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (735 citations), Cellular and Molecular Neuroscience (284 citations), Endocrinology, Diabetes and Metabolism (219 citations), Endocrine and Autonomic Systems (69 citations) and Molecular Biology (719 citations). Philip Posner has collaborated with scholars based in United States, Netherlands and Israel. Frequent co-authors include Colin Sumners, Jian Kang, Craig H. Gelband, Mingyan Zhu, Elaine M. Richards, Mohan K. Raizada, Mary E. Tinetti, Rosie Ferris, Jessica Esterson and Caroline Blaum. Their work appears in journals such as American Journal of Physiology-Cell Physiology, Journal of Neurophysiology, European Journal of Pharmacology, Toxicon and Journal of Cardiovascular Pharmacology.

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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