Philip Posner

1.6k citations
54 papers · 1.4k · h-index 18

Impact in

Papers in

Philip Posner

48 papers receiving 1.3k citations

Peers

Philip Posner
Comparison fields: 5 of 94
  • Cardiology and Cardiovascular Medicine 781
  • Cellular and Molecular Neuroscience 293
  • Endocrinology, Diabetes and Metabolism 230
  • Molecular Biology 757
  • Endocrine and Autonomic Systems 70
Replace Albino García‐Sacristán with:
Albino García‐Sacristán Spain
Hubert Dabiré France
Roger Boucher Canada
William E. Schutzer United States
Eva Lindgren Sweden
Marcelo Sergio Vatta Argentina
Robert L. Kline Canada
Hiroaki Hisa Japan
A T Birmingham United Kingdom
Jean‐Marie Moalic France
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Citations per field
00.5×2×2.9×
Albino García‐Sacristán · 1×
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 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994128
2 1995120
3 2016116
4 2004103
5 199683
6 199382
7 199469
8 199766
9 199864
10 199258
11 199946
12 199739
13 199737
14 197632
15 199631
16 199730
17 199627
18 198522
19 200118
20 198414

About Philip Posner

Philip Posner is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Animal Science and Zoology and Pathology and Forensic Medicine, having authored 54 papers that have together received 1.4k 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 (6 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 (781 citations), Cellular and Molecular Neuroscience (293 citations), Endocrinology, Diabetes and Metabolism (230 citations), Molecular Biology (757 citations) and Endocrine and Autonomic Systems (70 citations). Philip Posner has collaborated with scholars based in United States, Israel and Netherlands. Frequent co-authors include Colin Sumners, Jian Kang, Craig H. Gelband, Mingyan Zhu, Elaine M. Richards, Rosie E. Ferris, Caroline S. Blaum, Mary E. Tinetti, Jessica Esterson and Mohan K. Raizada. Their work appears in journals such as American Journal of Physiology-Cell Physiology, Journal of Neurophysiology, Pharmacology, European Journal of Pharmacology 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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