Thomas H. Segall-Shapiro

4.4k citations
17 papers · 1.2k indexed · h-index 13
    • RNA and protein synthesis mechanisms 8
    • Gene Regulatory Network Analysis 6
    • CRISPR and Genetic Engineering 5
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • vaccines and immunoinformatics approaches 1
  • Genetics top 5%
    • Bacterial Genetics and Biotechnology 8
  • Ecology top 10%
    • Bacteriophages and microbial interactions 5
  • Biophysics top 10%
    • Plant Virus Research Studies 2

Thomas H. Segall-Shapiro

17 papers receiving 1.2k citations

Peers

Thomas H. Segall-Shapiro
Comparison fields: 5 of 82
  • Molecular Biology 1.1k
  • Genetics 352
  • Biotechnology 75
  • Ecology 152
  • Biophysics 28
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Citations per year

Countries citing papers authored by Thomas H. Segall-Shapiro

Since Specialization
Citations

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

Fields of papers citing papers by Thomas H. Segall-Shapiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas H. Segall-Shapiro. 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 H. Segall-Shapiro. The network helps show where Thomas H. Segall-Shapiro may publish in the future.

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 20241
2 202223
3 202121
4 2018323
5 2018133
6 20169
7 2014154
8 201422
9 20142
10 2013138
11 2013111
12 201327
13
Design of orthogonal genetic switches based on a crosstalk map of σs, anti-σs, and promoters
20131
14 201255
15 2012156
16 201025
17 201037

About Thomas H. Segall-Shapiro

Thomas H. Segall-Shapiro is a scholar working on Genetics, Molecular Biology and Ecology, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (8 papers), RNA and protein synthesis mechanisms (8 papers), Gene Regulatory Network Analysis (6 papers), Bacteriophages and microbial interactions (5 papers), CRISPR and Genetic Engineering (5 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Plant Virus Research Studies (2 papers) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Genetics (352 citations) and Biotechnology (75 citations). Thomas H. Segall-Shapiro has collaborated with scholars based in United States, Kenya and France. Frequent co-authors include Christopher A. Voigt, Adam J. Meyer, Eduardo D. Sontag, Emerson Glassey, Jing Zhang, Andrew D. Ellington, Karsten Temme, Felix Moser, Rena M. Hill and Vladimir N. Noskov. Their work appears in journals such as Journal of the American Chemical Society, Nucleic Acids Research and Nature Communications.

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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