Gil Segal

6.7k total citations
90 papers, 5.0k citations indexed

About

Gil Segal is a scholar working on Molecular Biology, Endocrinology and Immunology. According to data from OpenAlex, Gil Segal has authored 90 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 43 papers in Endocrinology and 17 papers in Immunology. Recurrent topics in Gil Segal's work include Legionella and Acanthamoeba research (42 papers), Vibrio bacteria research studies (28 papers) and Bacterial biofilms and quorum sensing (21 papers). Gil Segal is often cited by papers focused on Legionella and Acanthamoeba research (42 papers), Vibrio bacteria research studies (28 papers) and Bacterial biofilms and quorum sensing (21 papers). Gil Segal collaborates with scholars based in Israel, United States and Russia. Gil Segal's co-authors include Howard A. Shuman, Tal Zusman, Eliora Z. Ron, Ohad Gal‐Mor, Michal Feldman, Tal Pupko, Elena Degtyar, David Burstein, Ziv Lifshitz and Hubert Hilbi and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Gil Segal

85 papers receiving 4.9k citations

Peers

Gil Segal
Comparison fields: 5 of 138
  • Endocrinology 3.1k
  • Molecular Biology 2.5k
  • Immunology 1.3k
  • Genetics 580
  • Plant Science 456
Replace Michael E. Konkel with:
Michael E. Konkel United States
Anthony T. Maurelli United States
Marcia B. Goldberg United States
Alison A. Weiss United States
Luís Carlos de Souza Ferreira Brazil
Mikael Rhen Sweden
Raphael H. Valdivia United States
M. Alexander Schmidt Germany
Edith Gouin France
Joachim Reidl Germany
Michael E. Konkel United States View profile →
Citations per field, relative to Gil Segal
Gil Segal · 1×
Citations per year, relative to Gil Segal
Gil Segal · 1×

Countries citing papers authored by Gil Segal

Since Specialization
Citations

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

Fields of papers citing papers by Gil Segal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gil Segal

This figure shows the co-authorship network connecting the top 25 collaborators of Gil Segal. A scholar is included among the top collaborators of Gil 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 Gil Segal. Gil 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
# Work Indexed citations
1 0
2 5
3 8
4 12
5 9
6 93
7 206
8 39
9 92
10 243
11 178
12 8
13 21
14 140
15 25
16 86
17 126
18 42
19 31
20
Synthesis of Physiologically Active Steroid Esters and Spirolactones
0

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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