Jeffrey J. Tabor

4.9k citations
48 papers · 3.3k indexed · 1 hit paper · h-index 26
Topics
Gene Regulatory Network Analysis (23 papers)Photoreceptor and optogenetics research (13 papers)CRISPR and Genetic Engineering (11 papers)

In The Last Decade

Jeffrey J. Tabor

47 papers receiving 3.3k citations

Hit Papers

Robust multicellular computing using genetically encoded ...20102026201520202010100200300400500

Peers

Jeffrey J. Tabor
Comparison fields: 5 of 123
  • Molecular Biology 2.7k
  • Cellular and Molecular Neuroscience 742
  • Plant Science 709
  • Biomedical Engineering 664
  • Genetics 594
Replace Arthur Prindle with:
Arthur Prindle United States
Anselm Levskaya United States
Mohan K. Balasubramanian Singapore
Timothy H. Tran United States
Caleb J. Bashor United States
Mark Isalan United Kingdom
Tom Ellis United Kingdom
Jürgen J. Heinisch Germany
Georg H. H. Borner United Kingdom
Christof Taxis Germany
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Citations per field
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Arthur Prindle · 1×
Citations per year

Countries citing papers authored by Jeffrey J. Tabor

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey J. Tabor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey J. Tabor. 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 Jeffrey J. Tabor. The network helps show where Jeffrey J. Tabor may publish in the future.

Co-authorship network of co-authors of Jeffrey J. Tabor

This figure shows the co-authorship network connecting the top 25 collaborators of Jeffrey J. Tabor. A scholar is included among the top collaborators of Jeffrey J. Tabor 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 Jeffrey J. Tabor. Jeffrey J. Tabor 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 6
3 53
4 4
5 63
6 3
7 72
8 70
9 28
10 60
11 204
12 96
13 151
14 35
15 40
16 3
17 371
18 27
19 15
20 456

About Jeffrey J. Tabor

Jeffrey J. Tabor is a scholar working on Biophysics, Cellular and Molecular Neuroscience and Molecular Biology, having authored 48 papers that have together received 3.3k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (23 papers), Photoreceptor and optogenetics research (13 papers) and CRISPR and Genetic Engineering (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (742 citations), Molecular Biology (2.7k citations) and Biophysics (184 citations). Jeffrey J. Tabor has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Christopher A. Voigt, Alvin Tamsir, Anselm Levskaya, Evan J. Olson, Brian P. Landry, Andrew D. Ellington, Zachary Booth Simpson, Edward M. Marcotte, Aaron Chevalier and Ravi U. Sheth. 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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