David J. Segal

11.1k citations
133 papers · 8.2k indexed · 1 hit paper · h-index 46
Topics
CRISPR and Genetic Engineering (40 papers)RNA and protein synthesis mechanisms (37 papers)Advanced biosensing and bioanalysis techniques (24 papers)

In The Last Decade

David J. Segal

133 papers receiving 8.0k citations

Hit Papers

Endorphins: Profound Behavioral Effects in Rats Suggest N...19762026199220091976200400600

Peers

David J. Segal
Comparison fields: 5 of 158
  • Molecular Biology 6.9k
  • Genetics 1.5k
  • Plant Science 1.2k
  • Cellular and Molecular Neuroscience 1.0k
  • Physiology 360
Replace Yujing Li with:
Yujing Li United States
Maxim N. Shokhirev United States
Albert Jeltsch Germany
Serkan Erdin United States
Julien Muffat United States
Frank Schwede Germany
Alan P. Wolffe United States
Timothy H. Bestor United States
Bernd Timmermann Germany
Stevens K. Rehen Brazil
David J. Segal relative to Yujing Li United States Yujing Li's profile →
Citations per field
00.5×6.7×
Yujing Li · 1×
Citations per year

Countries citing papers authored by David J. Segal

Since Specialization
Citations

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

Fields of papers citing papers by David J. Segal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Segal

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Segal. A scholar is included among the top collaborators of David J. Segal 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 David J. Segal. David J. Segal 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 2
2 1
3 18
4 8
5 161
6
Healing Ourselves and Healing the World: Consumerism and the Culture of Addiction
4
7 48
8 13
9 20
10 12
11 16
12 7
13 56
14 87
15 136
16 33
17 412
18 13
19 87
20 5

About David J. Segal

David J. Segal is a scholar working on Molecular Biology, Genetics and Virology, having authored 133 papers that have together received 8.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (40 papers), RNA and protein synthesis mechanisms (37 papers) and Advanced biosensing and bioanalysis techniques (24 papers). The work is most often cited by research in Business and International Management (212 citations), Molecular Biology (6.9k citations) and Aging (156 citations). David J. Segal has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Carlos F. Barbas, Birgit Dreier, Roger R. Beerli, Ronald Kuczenski, Floyd E. Bloom, Nicholas Ling, Roger Guillemin, Kathryn J. Brayer, Dana Carroll and Henriette O’Geen. Their work appears in journals such as Nature, Science and New England Journal of Medicine.

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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