Alan Poisner

111 papers receiving 3.2k citations

Peers

Alan Poisner
Comparison fields: 5 of 116
  • Cellular and Molecular Neuroscience 1.1k
  • Behavioral Neuroscience 132
  • Obstetrics and Gynecology 270
  • Physiology 154
  • Endocrine and Autonomic Systems 227
Replace V.B. Mahesh with:
V.B. Mahesh United States
Fatimunnisa Qadri Germany
Christiane Charriaut‐Marlangue France
Nicole Gallo‐Payet Canada
Nobuyuki Yanagihara Japan
Guillermina Almazán Canada
Phillip W. Dickson Australia
Maria Spatz United States
Ikunobu Muramatsu Japan
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Citations per year

Countries citing papers authored by Alan Poisner

Since Specialization
Citations

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

Fields of papers citing papers by Alan Poisner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1964379
2 1963175
3 1971147
4 1965142
5 1964139
6 1962135
7
The role of ATP and ATPase in the release of catecholamines from the adrenal medulla. I. ATP-evoked release of catecholamines, ATP, and protein from isolated chromaffin granules.
1967111
8
In Vitro Methods For Studying Secretion
1987107
9 196698
10 196186
11 198184
12 196683
13 196678
14 196577
15
The Electrophysiology of the secretory cell
198574
16 199073
17 197363
18 200161
19 196859
20 199858

About Alan Poisner

Alan Poisner is a scholar working on Molecular Biology, Social Psychology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 113 papers that have together received 3.6k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (23 papers), Renin-Angiotensin System Studies (15 papers), Pregnancy and preeclampsia studies (15 papers), Neuropeptides and Animal Physiology (11 papers), Birth, Development, and Health (11 papers), Receptor Mechanisms and Signaling (9 papers), Neonatal Respiratory Health Research (9 papers) and Venous Thromboembolism Diagnosis and Management (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Behavioral Neuroscience (132 citations), Obstetrics and Gynecology (270 citations), Physiology (154 citations) and Endocrine and Autonomic Systems (227 citations). Alan Poisner has collaborated with scholars based in United States, Tanzania and United Kingdom. Frequent co-authors include W. W. Douglas, J.M. Trifaró, R. Poisner, Jau‐Shyong Hong, Stuart Handwerger, Gary W. Wood, Tadashi Inagami, William W. Douglas, Gregory J. Downing and Peter Cooke. Their work appears in journals such as Biochemical Pharmacology, The Journal of Physiology, Molecular Pharmacology, Experimental Biology and Medicine and Nature.

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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