Yu Kong

45 total papers · 1.2k total citations
27 papers, 671 citations indexed

About

Yu Kong is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Molecular Biology. According to data from OpenAlex, Yu Kong has authored 27 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Yu Kong's work include Monoclonal and Polyclonal Antibodies Research (9 papers), CAR-T cell therapy research (4 papers) and Environmental Quality and Pollution (3 papers). Yu Kong is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (9 papers), CAR-T cell therapy research (4 papers) and Environmental Quality and Pollution (3 papers). Yu Kong collaborates with scholars based in China, United States and New Zealand. Yu Kong's co-authors include Yanling Wu, Tianlei Ying, Zhenlin Yang, Chao Tu, Lu Lu, Shibo Jiang, Xiaolong Tian, Shuai Xia, Rong Zhang and Chenjian Gu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Frontiers in Immunology.

In The Last Decade

Yu Kong

23 papers receiving 661 citations

Author Peers

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

Author Last Decade Papers Cites
Yu Kong 234 226 166 166 151 27 671
G. E. Cosgrove 34 0.1× 137 0.6× 92 0.6× 41 0.2× 147 1.0× 57 577
Li Na 55 0.2× 78 0.3× 164 1.0× 95 0.6× 16 0.1× 18 583
Byoung-Hee Lee 70 0.3× 37 0.2× 111 0.7× 276 1.7× 16 0.1× 17 625
Xiaocui He 119 0.5× 64 0.3× 112 0.7× 51 0.3× 28 0.2× 21 620
Dimitrios Karagiannis 210 0.9× 185 0.8× 48 0.3× 14 0.1× 99 0.7× 34 663
Jieqiong Qu 90 0.4× 26 0.1× 206 1.2× 234 1.4× 42 0.3× 27 580
Jennifer I. C. Benichou 136 0.6× 135 0.6× 209 1.3× 10 0.1× 105 0.7× 28 727
Charles Victor Barber 206 0.9× 137 0.6× 136 0.8× 18 0.1× 163 1.1× 26 744
G. E. Davis 230 1.0× 279 1.2× 148 0.9× 18 0.1× 10 0.1× 34 746
Kuo Zhang 14 0.1× 157 0.7× 345 2.1× 78 0.5× 60 0.4× 36 758

Countries citing papers authored by Yu Kong

Since Specialization
Citations

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

Fields of papers citing papers by Yu Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Kong

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