Ayelet Shai

73 total papers · 769 total citations
42 papers, 351 citations indexed

About

Ayelet Shai is a scholar working on Oncology, Surgery and Cancer Research. According to data from OpenAlex, Ayelet Shai has authored 42 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Oncology, 8 papers in Surgery and 8 papers in Cancer Research. Recurrent topics in Ayelet Shai's work include Ovarian cancer diagnosis and treatment (4 papers), Breast Cancer Treatment Studies (4 papers) and Traumatic Brain Injury and Neurovascular Disturbances (3 papers). Ayelet Shai is often cited by papers focused on Ovarian cancer diagnosis and treatment (4 papers), Breast Cancer Treatment Studies (4 papers) and Traumatic Brain Injury and Neurovascular Disturbances (3 papers). Ayelet Shai collaborates with scholars based in Israel, United States and Russia. Ayelet Shai's co-authors include Ofer Lavie, Ido Feferkorn, Nili Stein, Michelle Leviov, Yael Hashiloni‐Dolev, Arie Bitterman, Mariana Steiner, Gad Rennert, Hedy S. Rennert and Steven A. Narod and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Annals of Oncology.

In The Last Decade

Ayelet Shai

36 papers receiving 346 citations

Author Peers

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

Author						Papers	Cites
Ayelet Shai	90	90	82	52	42	42	351
Chaoyang Chen	37 0.4×	60 0.7×	77 0.9×	58 1.1×	26 0.6×	41	391
Minxin Shi	75 0.8×	52 0.6×	124 1.5×	25 0.5×	45 1.1×	26	359
Kyoung‐Jin Park	45 0.5×	67 0.7×	119 1.5×	9 0.2×	28 0.7×	37	348
Aleksandra Sobolewska-Włodarczyk	19 0.2×	51 0.6×	60 0.7×	36 0.7×	105 2.5×	35	387
Meera M. Dhodapkar	17 0.2×	87 1.0×	52 0.6×	23 0.4×	124 3.0×	57	376
Habib Haybar	30 0.3×	43 0.5×	96 1.2×	10 0.2×	39 0.9×	28	314
Yijun Dong	23 0.3×	31 0.3×	100 1.2×	18 0.3×	30 0.7×	35	315
Simin Liang	80 0.9×	47 0.5×	147 1.8×	11 0.2×	18 0.4×	32	314
Tonje Johansen	24 0.3×	68 0.8×	56 0.7×	26 0.5×	121 2.9×	25	337
Lucie‐Marie Scailteux	54 0.6×	61 0.7×	32 0.4×	18 0.3×	30 0.7×	40	389

Countries citing papers authored by Ayelet Shai

Since Specialization

Citations

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

Fields of papers citing papers by Ayelet Shai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayelet Shai

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