Yael Leitner‐Dagan

21 total papers · 1.1k total citations
13 papers, 946 citations indexed

About

Yael Leitner‐Dagan is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Yael Leitner‐Dagan has authored 13 papers receiving a total of 946 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 4 papers in Cancer Research. Recurrent topics in Yael Leitner‐Dagan's work include DNA Repair Mechanisms (7 papers), Genetic factors in colorectal cancer (4 papers) and Carcinogens and Genotoxicity Assessment (3 papers). Yael Leitner‐Dagan is often cited by papers focused on DNA Repair Mechanisms (7 papers), Genetic factors in colorectal cancer (4 papers) and Carcinogens and Genotoxicity Assessment (3 papers). Yael Leitner‐Dagan collaborates with scholars based in Israel, United States and Italy. Yael Leitner‐Dagan's co-authors include Zvi Livneh, Alexander Vainstein, Tamar Paz-Elizur, Dalia Elinger, Tzvi Tzfira, Ziv Sevilya, Benoît Lacroix, Shachi Vyas, Vitaly Citovsky and Jianxiong Li and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, PLANT PHYSIOLOGY and Carcinogenesis.

In The Last Decade

Yael Leitner‐Dagan

13 papers receiving 926 citations

Author Peers

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

Author Last Decade Papers Cites
Yael Leitner‐Dagan 704 378 125 79 62 13 946
Yichun Qian 660 0.9× 253 0.7× 234 1.9× 41 0.5× 44 0.7× 22 1.0k
Qingwei Wang 535 0.8× 356 0.9× 88 0.7× 37 0.5× 68 1.1× 28 966
Vera Gill 548 0.8× 309 0.8× 65 0.5× 68 0.9× 40 0.6× 14 977
Patrick G. Telmer 608 0.9× 266 0.7× 82 0.7× 46 0.6× 150 2.4× 15 1.0k
Salvador Rodrı́guez-Nieto 731 1.0× 224 0.6× 97 0.8× 76 1.0× 127 2.0× 17 1.1k
Siyi Hu 624 0.9× 139 0.4× 77 0.6× 125 1.6× 120 1.9× 16 1.1k
Tatiana López 541 0.8× 167 0.4× 166 1.3× 58 0.7× 92 1.5× 35 986
Khadija Essafi‐Benkhadir 551 0.8× 129 0.3× 122 1.0× 89 1.1× 105 1.7× 36 949
Yating Chen 666 0.9× 261 0.7× 290 2.3× 54 0.7× 48 0.8× 35 994
Yanhong Zhou 688 1.0× 712 1.9× 53 0.4× 65 0.8× 40 0.6× 18 1.1k

Countries citing papers authored by Yael Leitner‐Dagan

Since Specialization
Citations

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

Fields of papers citing papers by Yael Leitner‐Dagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yael Leitner‐Dagan. 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 Yael Leitner‐Dagan. The network helps show where Yael Leitner‐Dagan may publish in the future.

Co-authorship network of co-authors of Yael Leitner‐Dagan

This figure shows the co-authorship network connecting the top 25 collaborators of Yael Leitner‐Dagan. A scholar is included among the top collaborators of Yael Leitner‐Dagan 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 Yael Leitner‐Dagan. Yael Leitner‐Dagan 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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