Tal Galili

45 total papers · 3.3k total citations
24 papers, 1.9k citations indexed

About

Tal Galili is a scholar working on Molecular Biology, Artificial Intelligence and Physiology. According to data from OpenAlex, Tal Galili has authored 24 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Artificial Intelligence and 4 papers in Physiology. Recurrent topics in Tal Galili's work include Bioinformatics and Genomic Networks (3 papers), Smoking Behavior and Cessation (2 papers) and Behavioral Health and Interventions (2 papers). Tal Galili is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), Smoking Behavior and Cessation (2 papers) and Behavioral Health and Interventions (2 papers). Tal Galili collaborates with scholars based in Israel, United States and United Kingdom. Tal Galili's co-authors include Carson Sievert, Alan O’Callaghan, Jonathan Sidi, Yoav Benjamini, Elazar Zelzer, Tomer Stern, Laura Rosen, Ilan Golani, Ronen Blecher and Ehud Fonio and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Tal Galili

24 papers receiving 1.9k citations

Hit Papers

dendextend: an R package ... 2015 2026 2018 2022 2015 2017 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Tal Galili 617 358 257 224 140 24 1.9k
Daniel D. Murray 756 1.2× 214 0.6× 300 1.2× 210 0.9× 159 1.1× 33 3.1k
Ryota Suzuki 742 1.2× 308 0.9× 300 1.2× 247 1.1× 182 1.3× 15 1.9k
Russ Wolfinger 488 0.8× 429 1.2× 195 0.8× 416 1.9× 138 1.0× 40 3.1k
Fréderic Escudié 1.2k 2.0× 410 1.1× 359 1.4× 227 1.0× 82 0.6× 16 2.6k
N. T. J. Bailey 314 0.5× 238 0.7× 244 0.9× 247 1.1× 141 1.0× 43 2.1k
Jérôme Mariette 1.3k 2.1× 335 0.9× 343 1.3× 235 1.0× 192 1.4× 28 2.7k
Jake R. Conway 1.5k 2.4× 397 1.1× 304 1.2× 285 1.3× 94 0.7× 14 2.7k
Christophe Djemiel 954 1.5× 349 1.0× 297 1.2× 122 0.5× 68 0.5× 19 2.0k
Guilherme P. Telles 984 1.6× 391 1.1× 191 0.7× 158 0.7× 64 0.5× 36 2.2k
Siegfried Schloissnig 1.3k 2.1× 225 0.6× 220 0.9× 248 1.1× 64 0.5× 14 1.8k

Countries citing papers authored by Tal Galili

Since Specialization
Citations

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

Fields of papers citing papers by Tal Galili

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tal Galili

This figure shows the co-authorship network connecting the top 25 collaborators of Tal Galili. A scholar is included among the top collaborators of Tal Galili 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 Tal Galili. Tal Galili 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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