Jeremy Thorner

32.8k total citations · 4 hit papers
231 papers, 22.5k citations indexed

About

Jeremy Thorner is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Jeremy Thorner has authored 231 papers receiving a total of 22.5k indexed citations (citations by other indexed papers that have themselves been cited), including 215 papers in Molecular Biology, 85 papers in Cell Biology and 21 papers in Plant Science. Recurrent topics in Jeremy Thorner's work include Fungal and yeast genetics research (154 papers), Cellular transport and secretion (47 papers) and Plant Reproductive Biology (29 papers). Jeremy Thorner is often cited by papers focused on Fungal and yeast genetics research (154 papers), Cellular transport and secretion (47 papers) and Plant Reproductive Biology (29 papers). Jeremy Thorner collaborates with scholars based in United States, Russia and Austria. Jeremy Thorner's co-authors include Henrik Dohlman, Riyo Kunisawa, Robert S. Fuller, David Julius, Lee Bardwell, Anthony J. Brake, Raymond Chen, Marc G. Caron, R.J. Lefkowitz and Martha Cyert and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Jeremy Thorner

229 papers receiving 21.9k citations

Hit Papers

MODEL SYSTEMS FOR THE STUDY OF SEVEN-TRANSMEMBRANE-SEGMEN... 1983 2026 1997 2011 1991 1984 1984 1983 250 500 750 1000

Peers

Jeremy Thorner
Comparison fields: 5 of 154
  • Molecular Biology 19.4k
  • Cell Biology 6.6k
  • Plant Science 2.7k
  • Cellular and Molecular Neuroscience 2.1k
  • Oncology 1.5k
Replace Kunihiro Matsumoto with:
Kunihiro Matsumoto Japan
Ira Herskowitz United States
David Y. Thomas Canada
Fred Sherman United States
Howard Riezman Switzerland
Mark Johnston United States
James R. Broach United States
Alfred Wittinghofer Germany
Jack E. Dixon United States
Joël Vandekerckhove Belgium
Kunihiro Matsumoto Japan View profile →
Citations per field, relative to Jeremy Thorner
Jeremy Thorner · 1×
Citations per year, relative to Jeremy Thorner
Jeremy Thorner · 1×

Countries citing papers authored by Jeremy Thorner

Since Specialization
Citations

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

Fields of papers citing papers by Jeremy Thorner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeremy Thorner

This figure shows the co-authorship network connecting the top 25 collaborators of Jeremy Thorner. A scholar is included among the top collaborators of Jeremy Thorner 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 Jeremy Thorner. Jeremy Thorner 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
# Work Indexed citations
1 20
2 2
3 5
4 1
5 9
6 18
7 6
8 6
9 13
10 57
11 130
12 233
13 75
14 236
15 36
16
Cell biology and physiology
3
17
Gene expression and protein purification
2
18 15
19 180
20 61

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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