Nai‐Shun Yao

35 total papers · 513 total citations
23 papers, 354 citations indexed

About

Nai‐Shun Yao is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Nai‐Shun Yao has authored 23 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 8 papers in Surgery and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Nai‐Shun Yao's work include Chronic Lymphocytic Leukemia Research (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and CAR-T cell therapy research (3 papers). Nai‐Shun Yao is often cited by papers focused on Chronic Lymphocytic Leukemia Research (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and CAR-T cell therapy research (3 papers). Nai‐Shun Yao collaborates with scholars based in Taiwan, United States and France. Nai‐Shun Yao's co-authors include Rakesh Dixit, Leo Tseng, Marna Williams, David A. Tice, Steven Coats, Jean‐Charles Soria, Ping‐Ying Chang, Ming‐Fang Cheng, Herng‐Sheng Lee and Shih‐Hua Lin and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Clinical Cancer Research.

In The Last Decade

Nai‐Shun Yao

21 papers receiving 344 citations

Author Peers

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

Author Last Decade Papers Cites
Nai‐Shun Yao 209 121 92 73 47 23 354
Fang Liu 175 0.8× 67 0.6× 71 0.8× 74 1.0× 51 1.1× 41 315
Karianne G. Fleten 106 0.5× 37 0.3× 139 1.5× 77 1.1× 44 0.9× 21 329
Katja Matthes 237 1.1× 109 0.9× 91 1.0× 57 0.8× 52 1.1× 18 373
Marco Lorenzo Bonù 121 0.6× 60 0.5× 75 0.8× 49 0.7× 179 3.8× 27 388
Sadaaki Hori 98 0.5× 72 0.6× 125 1.4× 59 0.8× 61 1.3× 24 335
Hervy E. Averette 140 0.7× 32 0.3× 118 1.3× 61 0.8× 46 1.0× 18 377
J P Guastalla 220 1.1× 84 0.7× 73 0.8× 40 0.5× 51 1.1× 15 326
Gennaro Palmiotti 160 0.8× 54 0.4× 73 0.8× 33 0.5× 104 2.2× 22 326
Stefanie Nittka 93 0.4× 149 1.2× 107 1.2× 35 0.5× 35 0.7× 16 389
Yousri Mishriki 104 0.5× 46 0.4× 117 1.3× 99 1.4× 35 0.7× 14 359

Countries citing papers authored by Nai‐Shun Yao

Since Specialization
Citations

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

Fields of papers citing papers by Nai‐Shun Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nai‐Shun Yao. 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 Nai‐Shun Yao. The network helps show where Nai‐Shun Yao may publish in the future.

Co-authorship network of co-authors of Nai‐Shun Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Nai‐Shun Yao. A scholar is included among the top collaborators of Nai‐Shun Yao 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 Nai‐Shun Yao. Nai‐Shun Yao 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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