Kai Yin

58 total papers · 914 total citations
22 papers, 435 citations indexed

About

Kai Yin is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research. According to data from OpenAlex, Kai Yin has authored 22 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 9 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Kai Yin's work include Lung Cancer Treatments and Mutations (8 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Brain Metastases and Treatment (4 papers). Kai Yin is often cited by papers focused on Lung Cancer Treatments and Mutations (8 papers), Cancer Immunotherapy and Biomarkers (6 papers) and Brain Metastases and Treatment (4 papers). Kai Yin collaborates with scholars based in China, Hong Kong and Japan. Kai Yin's co-authors include Dongxiao Yang, Xin Jin, Xusheng Chang, Xu‐Chao Zhang, Yi‐Long Wu, Yadi Wang, Kwok‐Yung Yuen, Wei Hao, Chi‐Ming Che and Wen‐Zhao Zhong and has published in prestigious journals such as Frontiers in Immunology, Emerging infectious diseases and The American Journal of Surgery.

In The Last Decade

Kai Yin

22 papers receiving 425 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 Yin 193 185 111 95 52 22 435
Ginette Balboni 180 0.9× 50 0.3× 85 0.8× 135 1.4× 36 0.7× 17 457
Samuel H. Whiting 203 1.1× 59 0.3× 65 0.6× 176 1.9× 79 1.5× 18 435
Christelle Parent 85 0.4× 191 1.0× 51 0.5× 172 1.8× 66 1.3× 22 455
Pankita H. Pandya 145 0.8× 80 0.4× 47 0.4× 164 1.7× 141 2.7× 20 472
Junsheng Fan 190 1.0× 115 0.6× 47 0.4× 99 1.0× 29 0.6× 23 472
Pierre V. Candelaria 74 0.4× 77 0.4× 37 0.3× 144 1.5× 62 1.2× 21 434
Tomohiro Sakakibara 126 0.7× 146 0.8× 50 0.5× 93 1.0× 105 2.0× 33 396
Emily Han-Chung Hsiue 214 1.1× 83 0.4× 93 0.8× 101 1.1× 125 2.4× 24 428
Masaki Kuwabara 119 0.6× 74 0.4× 48 0.4× 117 1.2× 71 1.4× 23 370
Kunal Desai 134 0.7× 208 1.1× 31 0.3× 213 2.2× 48 0.9× 17 474

Countries citing papers authored by Kai Yin

Since Specialization
Citations

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

Fields of papers citing papers by Kai Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Yin

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