Caroline Gregorian

1.3k citations
10 papers · 1.1k indexed · h-index 9
Topics
Caveolin-1 and cellular processes (4 papers)Adenosine and Purinergic Signaling (3 papers)Receptor Mechanisms and Signaling (2 papers)

In The Last Decade

Caroline Gregorian

10 papers receiving 1.1k citations

Peers

Caroline Gregorian
Comparison fields: 5 of 84
  • Molecular Biology 717
  • Physiology 189
  • Cellular and Molecular Neuroscience 173
  • Cell Biology 170
  • Surgery 124
Replace Jelena Mojsilovic‐Petrovic with:
Jelena Mojsilovic‐Petrovic United States
Hiroaki Kanki Japan
Raul Krauss United States
Andrá S. Stevenson United States
Saya Nakagomi Japan
Nicol Birsa United Kingdom
Scott D. Sorensen United States
Dietmar Bächner Germany
Nikki K. Lytle United States
Tetsuji Mutoh Japan
Caroline Gregorian relative to Jelena Mojsilovic‐Petrovic United States Jelena Mojsilovic‐Petrovic's profile →
Citations per field
00.5×3.2×
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-authorship network of co-authors of Caroline Gregorian

This figure shows the co-authorship network connecting the top 25 collaborators of Caroline Gregorian. A scholar is included among the top collaborators of Caroline Gregorian 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 Caroline Gregorian. Caroline Gregorian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 221
2 88
3 109
4 89
5 2
6 127
7 54
8 214
9 34
10 157

About Caroline Gregorian

Caroline Gregorian is a scholar working on Physiology, Biochemistry and Cell Biology, 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) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Physiology (189 citations), Developmental Neuroscience (69 citations) and Molecular Biology (717 citations). Caroline Gregorian has collaborated with scholars based in United States, Bulgaria and China. Frequent co-authors include Rennolds S. Ostrom, Paul A. Insel, Ryan M. Drenan, John W. Regan, Yang K. Xiang, Hong Wu, Xiaoqiu Liu, Jonathan Nakashima, Tammy M. Seasholtz and Michael V. Sofroniew. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

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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