Richard T. Premont

19.1k citations
166 papers · 15.3k indexed · 7 hit papers · h-index 64
Topics
Receptor Mechanisms and Signaling (77 papers)Protein Kinase Regulation and GTPase Signaling (33 papers)Cellular transport and secretion (26 papers)

In The Last Decade

Richard T. Premont

164 papers receiving 15.1k citations

Hit Papers

Seven-transmembrane receptors19952026200520152002200420051998199550010001.5k2.0k

Peers

Richard T. Premont
Comparison fields: 5 of 138
  • Molecular Biology 11.4k
  • Cellular and Molecular Neuroscience 5.2k
  • Cell Biology 2.9k
  • Physiology 1.4k
  • Surgery 1.1k
Replace Hisashi Hidaka with:
Hisashi Hidaka Japan
Wouter H. Moolenaar Netherlands
Frank Baas Netherlands
Rony Seger Israel
Thomas Franke United States
Edward B. Ziff United States
C. Peter Downes United Kingdom
Tamás Balla United States
Enrique Rozengurt United Kingdom
Louis M. Luttrell United States
Richard T. Premont relative to Hisashi Hidaka Japan Hisashi Hidaka's profile →
Citations per field
00.5×7.5×
Hisashi Hidaka · 1×
Citations per year

Countries citing papers authored by Richard T. Premont

Since Specialization
Citations

This map shows the geographic impact of Richard T. Premont'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 Richard T. Premont with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard T. Premont more than expected).

Fields of papers citing papers by Richard T. Premont

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard T. Premont. 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 Richard T. Premont. The network helps show where Richard T. Premont may publish in the future.

Co-authorship network of co-authors of Richard T. Premont

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 5
3 7
4 9
5 77
6 92
7 25
8 20
9 92
10 31
11 20
12 32
13 62
14 8
15 22
16 156
17 35
18 45
19 1
20 30

About Richard T. Premont

Richard T. Premont is a scholar working on Cell Biology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 166 papers that have together received 15.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (77 papers), Protein Kinase Regulation and GTPase Signaling (33 papers) and Cellular transport and secretion (26 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (5.2k citations), Cell Biology (2.9k citations) and Molecular Biology (11.4k citations). Richard T. Premont has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Robert J. Lefkowitz, Kristen L. Pierce, Raul R. Gainetdinov, Marc G. Caron, James Inglese, Randy A. Hall, Ravi Iyengar, Laura Bohn, Audrey Claing and Anna Mae Diehl. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of 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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