E. Perlanski

635 citations
25 papers · 593 · h-index 18

Impact in

Papers in

E. Perlanski

25 papers receiving 580 citations

Peers

E. Perlanski
Comparison fields: 5 of 47
  • Cellular and Molecular Neuroscience 235
  • Cardiology and Cardiovascular Medicine 258
  • Endocrine and Autonomic Systems 62
  • Animal Science and Zoology 73
  • Biochemistry 44
Replace Iain C. Medgett with:
Iain C. Medgett Australia
Nobuharu Yamaguchi Canada
M. J. Mathy Netherlands
Eric H. Mills Australia
Barbara A. Barron United States
E. L. Phelan New Zealand
James Tarver United States
Judith A. Kiritsy‐Roy United States
Pramod R. Saxena Netherlands
T. Hedner Sweden
E. Perlanski relative to Iain C. Medgett Australia Iain C. Medgett's profile →
Citations per field
00.5×
Iain C. Medgett · 1×
Citations per year

Countries citing papers authored by E. Perlanski

Since Specialization
Citations

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

Fields of papers citing papers by E. Perlanski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside E. Perlanski, 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 E. Perlanski Line = papers co-authored together E. Perlanski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197955
2 198848
3 199144
4 198839
5 199037
6 198831
7 198630
8 198427
9 198427
10 198825
11 198824
12 198824
13 198922
14 198821
15 198621
16 198920
17 199019
18 198517
19 198717
20 199010

About E. Perlanski

E. Perlanski is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Molecular Biology, Pathology and Forensic Medicine and Social Psychology, having authored 25 papers that have together received 593 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (8 papers), Neurotransmitter Receptor Influence on Behavior (5 papers), Receptor Mechanisms and Signaling (4 papers), Neuroendocrine regulation and behavior (3 papers), Biochemical Analysis and Sensing Techniques (3 papers), Regulation of Appetite and Obesity (3 papers), Alcohol Consumption and Health Effects (3 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (235 citations), Cardiology and Cardiovascular Medicine (258 citations), Endocrine and Autonomic Systems (62 citations), Animal Science and Zoology (73 citations) and Biochemistry (44 citations). E. Perlanski has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Larry A. Grupp, Robert B. Stewart, Frans H. H. Leenen, Ian R. Wanless, Aron D. Ross, Péter Tóth, C. Shaw, Jorge Elías, Erica Solway and Mary Ann Linseman. Their work appears in journals such as Pharmacology Biochemistry and Behavior, Alcoholism Clinical and Experimental Research, Alcohol, Alcohol and Alcoholism and Neuroscience & Biobehavioral Reviews.

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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