Carol Mousigian

498 citations
13 papers · 390 indexed · h-index 10
Topics
Neuropeptides and Animal Physiology (11 papers)Chemical Synthesis and Analysis (6 papers)Receptor Mechanisms and Signaling (5 papers)
Partner nations
United States

In The Last Decade

Carol Mousigian

13 papers receiving 387 citations

Peers

Carol Mousigian
Comparison fields: 5 of 65
  • Molecular Biology 282
  • Cellular and Molecular Neuroscience 136
  • Aging 125
  • Physiology 54
  • Endocrine and Autonomic Systems 46
Replace Svetlana V. Sergeeva with:
Svetlana V. Sergeeva Russia
Donna J. Fournier United States
Julie Cianfrogna United States
Ramani Alla United States
Mandy Koopman Netherlands
Emily H. Clark United Kingdom
Nicole H. Reifschneider Germany
Claire Schaar United States
Alfred Lanzafame Australia
Ayse Sena Mutlu United States
Carol Mousigian relative to Svetlana V. Sergeeva Russia Svetlana V. Sergeeva's profile →
Citations per field
00.5×7.8×
Svetlana V. Sergeeva · 1×
Citations per year

Countries citing papers authored by Carol Mousigian

Since Specialization
Citations

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

Fields of papers citing papers by Carol Mousigian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carol Mousigian

This figure shows the co-authorship network connecting the top 25 collaborators of Carol Mousigian. A scholar is included among the top collaborators of Carol Mousigian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carol Mousigian. Carol Mousigian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 166
2 7
3 2
4 11
5 7
6 11
7 78
8 47
9 10
10 19
11 10
12 13
13 9

About Carol Mousigian

Carol Mousigian is a scholar working on Cellular and Molecular Neuroscience, Aging and Biological Psychiatry, having authored 13 papers that have together received 390 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (11 papers), Chemical Synthesis and Analysis (6 papers) and Receptor Mechanisms and Signaling (5 papers). The work is most often cited by research in Aging (125 citations), Cellular and Molecular Neuroscience (136 citations) and Endocrine and Autonomic Systems (46 citations). Carol Mousigian has collaborated with scholars based in United States. Frequent co-authors include Wei‐Chung Chiang, Tsui‐Ting Ching, Hee Chul Lee, Ao‐Lin Hsu, Deborah Heyl, Henry I. Mosberg, Andrei L. Lomize, Katarzyna Sobczyk‐Kojiro, Frank Porreca and Chenguang Wang. Their work appears in journals such as Cell, Journal of Medicinal Chemistry and Life Sciences.

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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