Thomas Gregor

7.7k citations
105 papers · 4.8k · h-index 33

Impact in

Papers in

Thomas Gregor

99 papers receiving 4.7k citations

Peers

Thomas Gregor
Comparison fields: 5 of 159
  • Aging 116
  • Biophysics 332
  • Molecular Biology 3.5k
  • Cell Biology 699
  • Genetics 587
Replace Wolfgang Enard with:
Wolfgang Enard Germany
John Tyler Bonner United States
Gerd B. Müller Austria
George von Dassow United States
Barry Taylor United States
James Knight United States
Fyodor A. Kondrashov United States
R. Andrew Cameron United States
Benjamin Vernot United States
Stephen J. King United States
Thomas Gregor relative to Wolfgang Enard Germany Wolfgang Enard's profile →
Citations per field
00.5×1.5×2.1×
Wolfgang Enard · 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 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007546
2 2007383
3 2018329
4 2010268
5 2005257
6 2013248
7 2013212
8 2014186
9 2011136
10 2013133
11 2015132
12 2019119
13 2022109
14 201497
15 201893
16 201384
17 199980
18 201379
19 197878
20 200877

About Thomas Gregor

Thomas Gregor is a scholar working on Ecology, Evolution, Behavior and Systematics, Molecular Biology, Plant Science, Genetics and Geography, Planning and Development, having authored 105 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 (20 papers), Developmental Biology and Gene Regulation (14 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 Plant Reproductive Biology (6 papers). The work is most often cited by research in Aging (116 citations), Biophysics (332 citations), Molecular Biology (3.5k citations), Cell Biology (699 citations) and Genetics (587 citations). Thomas Gregor has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Eric F. Wieschaus, William Bialek, David W. Tank, Shawn C. Little, Gasper Tkacik, 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, Molecular Cell, Nature Structural & Molecular Biology and Ethnology.

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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