Caroline Gregorian

10 papers receiving 1.1k citations

Peers

Caroline Gregorian
Comparison fields: 5 of 84
  • Physiology 187
  • Developmental Neuroscience 66
  • Cell Biology 165
  • Molecular Biology 673
  • Endocrine and Autonomic Systems 59
Replace Jelena Mojsilovic‐Petrovic with:
Jelena Mojsilovic‐Petrovic United States
Hiroaki Kanki Japan
Guido Hermey Germany
Raul Krauss United States
Dietmar Bächner Germany
Nikki K. Lytle United States
Scott D. Sorensen United States
Nicol Birsa United Kingdom
Elena Ambrosini Italy
Sílvia Porta United States
Caroline Gregorian relative to Jelena Mojsilovic‐Petrovic United States Jelena Mojsilovic‐Petrovic's profile →
Citations per field
00.5×3.0×
Jelena Mojsilovic‐Petrovic · 1×
Citations per year

Countries citing papers authored by Caroline Gregorian

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Gregorian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2009223
2 2001214
3 2000156
4 2002127
5 2006109
6 200390
7 200988
8 200154
9 200134
10 20032

About Caroline Gregorian

Caroline Gregorian is a scholar working on Molecular Biology, Cell Biology, Physiology, Biochemistry and Surgery, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Caveolin-1 and cellular processes (4 papers), Adenosine and Purinergic Signaling (3 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Ion Transport and Channel Regulation (2 papers), Receptor Mechanisms and Signaling (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper) and Soft tissue tumors and treatment (1 paper). The work is most often cited by research in Physiology (187 citations), Developmental Neuroscience (66 citations), Cell Biology (165 citations), Molecular Biology (673 citations) and Endocrine and Autonomic Systems (59 citations). Caroline Gregorian has collaborated with scholars based in United States, Bulgaria and China. Frequent co-authors include Paul A. Insel, Rennolds S. Ostrom, Ryan M. Drenan, John W. Regan, Yang K. Xiang, Hong Wu, Jonathan Nakashima, Tammy M. Seasholtz, Xiaoqiu Liu and Michael V. Sofroniew. Their work appears in journals such as Journal of Biological Chemistry, American Journal of Physiology-Cell Physiology, Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Molecular 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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