Aram Parsegian

1.4k citations
15 papers · 1.1k · h-index 12

Impact in

Papers in

Aram Parsegian

15 papers receiving 1.1k citations

Peers

Aram Parsegian
Comparison fields: 5 of 93
  • Cellular and Molecular Neuroscience 501
  • Behavioral Neuroscience 92
  • Biological Psychiatry 51
  • Anesthesiology and Pain Medicine 73
  • Cognitive Neuroscience 220
Replace Carly Kiselycznyk with:
Carly Kiselycznyk United States
Keiichi Niikura Japan
Yu‐Lin Dong China
Fani Lourença Moreira Neto Portugal
Daigo Ikegami Japan
Anke Tappe‐Theodor Germany
Florent Barthas France
Wendy M. Walwyn United States
Zizhen Zhang Canada
Ruth Drdla-Schutting Austria
Aram Parsegian relative to Carly Kiselycznyk United States Carly Kiselycznyk's profile →
Citations per field
00.5×1.5×
Carly Kiselycznyk · 1×
Citations per year

Countries citing papers authored by Aram Parsegian

Since Specialization
Citations

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

Fields of papers citing papers by Aram Parsegian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2006458
2 2013107
3 200980
4 201180
5 201969
6 200867
7 200656
8 201054
9 200537
10 200832
11 201626
12 201725
13 202110
14 20215
15 20224

About Aram Parsegian

Aram Parsegian is a scholar working on Cellular and Molecular Neuroscience, Behavioral Neuroscience, Social Psychology, Molecular Biology and Clinical Biochemistry, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (9 papers), Receptor Mechanisms and Signaling (8 papers), Neuroscience and Neuropharmacology Research (4 papers), Neuroendocrine regulation and behavior (4 papers), Stress Responses and Cortisol (2 papers), Pain Mechanisms and Treatments (1 paper), Pharmacology and Obesity Treatment (1 paper) and Memory and Neural Mechanisms (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (501 citations), Behavioral Neuroscience (92 citations), Biological Psychiatry (51 citations), Anesthesiology and Pain Medicine (73 citations) and Cognitive Neuroscience (220 citations). Aram Parsegian has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Ronald E. See, William A. Carlezon, Rachael L. Neve, Christine L. Konradi, W. Bailey Glen, Edward G. Meloni, Antonieta Lavı́n, Shelly B. Flagel, Ashlee Van’t Veer and John W. Muschamp. Their work appears in journals such as Journal of Neuroscience, Biological Psychiatry, Psychopharmacology, eNeuro and Brain Structure and Function.

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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