Kai Yuan

44 total papers · 771 total citations
36 papers, 588 citations indexed

About

Kai Yuan is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kai Yuan has authored 36 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 11 papers in Oncology and 8 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kai Yuan's work include Advanced Breast Cancer Therapies (8 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Kai Yuan is often cited by papers focused on Advanced Breast Cancer Therapies (8 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Kai Yuan collaborates with scholars based in China, Poland and Denmark. Kai Yuan's co-authors include Peng Yang, Xiao Wang, Wenjian Min, Songjin Guo, Hequan Yao, Aijun Lin, Haiping Hao, Chengliang Sun, Meng Gu and Jiayi Chen and has published in prestigious journals such as Nature Communications, Journal of Medicinal Chemistry and Organic Letters.

In The Last Decade

Kai Yuan

33 papers receiving 580 citations

Author Peers

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

Author Last Decade Papers Cites
Kai Yuan 210 197 166 91 61 36 588
Klaus Urbahns 285 1.4× 191 1.0× 173 1.0× 53 0.6× 113 1.9× 27 679
Diane E. Gingrich 347 1.7× 251 1.3× 226 1.4× 101 1.1× 67 1.1× 25 675
Andrew McGown 323 1.5× 228 1.2× 107 0.6× 38 0.4× 57 0.9× 28 662
Sushilla van Schoonhoven 282 1.3× 221 1.1× 110 0.7× 63 0.7× 33 0.5× 23 552
Clive McCarthy 254 1.2× 68 0.3× 270 1.6× 97 1.1× 47 0.8× 29 670
Wei Tian 253 1.2× 131 0.7× 90 0.5× 59 0.6× 51 0.8× 35 601
Jing Chen 309 1.5× 308 1.6× 71 0.4× 100 1.1× 61 1.0× 39 601
Zhongwei Zhang 285 1.4× 191 1.0× 90 0.5× 74 0.8× 67 1.1× 39 596
Claire E. Knezevic 207 1.0× 255 1.3× 98 0.6× 67 0.7× 80 1.3× 26 533
Somsundaram Chettiar 281 1.3× 161 0.8× 123 0.7× 61 0.7× 48 0.8× 16 518

Countries citing papers authored by Kai Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Kai Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Yuan

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