Gad Segal

157 total papers · 2.2k total citations
96 papers, 1.3k citations indexed

About

Gad Segal is a scholar working on Physiology, Geriatrics and Gerontology and Epidemiology. According to data from OpenAlex, Gad Segal has authored 96 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Physiology, 23 papers in Geriatrics and Gerontology and 14 papers in Epidemiology. Recurrent topics in Gad Segal's work include Frailty in Older Adults (22 papers), Nutrition and Health in Aging (18 papers) and COVID-19 Clinical Research Studies (7 papers). Gad Segal is often cited by papers focused on Frailty in Older Adults (22 papers), Nutrition and Health in Aging (18 papers) and COVID-19 Clinical Research Studies (7 papers). Gad Segal collaborates with scholars based in Israel, Cyprus and United States. Gad Segal's co-authors include Amir Dagan, Yehuda Shoenfeld, Yechezkel Sidi, Yishay Wasserstrum, Adi Brom, Idan Goren, Eli Schwartz, Galia Rahav, Amitai Segev and Dan Assaf and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diabetes Care.

In The Last Decade

Gad Segal

87 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gad Segal 238 192 184 175 172 96 1.3k
Dong Wook Kim 125 0.5× 297 1.5× 108 0.6× 214 1.2× 236 1.4× 92 1.5k
Rabi Yacoub 161 0.7× 91 0.5× 80 0.4× 231 1.3× 106 0.6× 46 1.6k
Fabien Subtil 91 0.4× 118 0.6× 86 0.5× 173 1.0× 49 0.3× 98 1.4k
Jesús Canora 127 0.5× 126 0.7× 129 0.7× 182 1.0× 94 0.5× 86 1.2k
Gijs Van Pottelbergh 334 1.4× 88 0.5× 257 1.4× 297 1.7× 45 0.3× 77 1.4k
Melissa G. Butler 246 1.0× 33 0.2× 259 1.4× 199 1.1× 96 0.6× 64 1.7k
Belchin Kostov 627 2.6× 135 0.7× 72 0.4× 250 1.4× 69 0.4× 77 1.8k
Antonio Buño Soto 217 0.9× 291 1.5× 47 0.3× 208 1.2× 91 0.5× 124 1.3k
Louis Coupal 65 0.3× 168 0.9× 56 0.3× 196 1.1× 47 0.3× 60 1.8k
Matthew O. Wiens 82 0.3× 176 0.9× 251 1.4× 381 2.2× 36 0.2× 94 1.8k

Countries citing papers authored by Gad Segal

Since Specialization
Citations

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

Fields of papers citing papers by Gad Segal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gad Segal

This figure shows the co-authorship network connecting the top 25 collaborators of Gad Segal. A scholar is included among the top collaborators of Gad 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 Gad Segal. Gad Segal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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