Thomas Gregor

98 papers receiving 4.6k citations

Thomas Gregor's Hit Papers

Probing the Limits to Positional Information 2007 · 543 citations
5430+6+12Years since publication100200300400500

Peers

Thomas Gregor
Comparison fields: 5 of 161
  • Aging 117
  • Biophysics 319
  • Molecular Biology 3.4k
  • Cell Biology 714
  • Genetics 560
Replace John Tyler Bonner with:
John Tyler Bonner United States
Wolfgang Enard Germany
Gerd B. Müller Austria
Barry Taylor United States
George von Dassow United States
Stephen J. King United States
Eric T. Wang United States
Stuart A. Newman United States
Robert K. Moyzis United States
Janet Kelso Germany
Thomas Gregor relative to John Tyler Bonner United States John Tyler Bonner's profile →
Citations per field
00.5×5.6×
John Tyler Bonner · 1×
Citations per year

Countries citing papers authored by Thomas Gregor

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Gregor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Probing the Limits to Positional Information
Hit paper breakdown →
2007543
2 2007385
3 2018330
4 2010262
5 2005258
6 2013232
7 2013206
8 2014186
9 2011140
10 2015132
11 2013125
12 2019112
13 2022110
14 201891
15 201489
16
Anxious Pleasures: The Sexual Lives of an Amazonian People
198585
17 199980
18 197879
19 201378
20 200878

About Thomas Gregor

Thomas Gregor is a scholar working on Molecular Biology, Plant Science, Ecology, Evolution, Behavior and Systematics, Genetics and Cell Biology, having authored 103 papers that have together received 4.8k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (22 papers), Genomics and Chromatin Dynamics (19 papers), Developmental Biology and Gene Regulation (13 papers), RNA Research and Splicing (13 papers), Botany and Plant Ecology Studies (9 papers), Plant Taxonomy and Phylogenetics (8 papers), Cellular Mechanics and Interactions (7 papers) and Evolution and Genetic Dynamics (6 papers). The work is most often cited by research in Aging (117 citations), Biophysics (319 citations), Molecular Biology (3.4k citations), Cell Biology (714 citations) and Genetics (560 citations). Thomas Gregor has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Eric Wieschaus, William Bialek, David W. Tank, Shawn C. Little, Gašper Tkačik, Hernán G. García, Mikhail Tikhonov, Alistair P. McGregor, Julien Dubuis and Michal Levo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell, Contemporary Sociology A Journal of Reviews, Current Opinion in Genetics & Development and Molecular Systems Biology.

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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