Kang Chen

152 total papers · 1.4k total citations
85 papers, 942 citations indexed

About

Kang Chen is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Kang Chen has authored 85 papers receiving a total of 942 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Pulmonary and Respiratory Medicine, 22 papers in Surgery and 12 papers in Molecular Biology. Recurrent topics in Kang Chen's work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Pituitary Gland Disorders and Treatments (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Kang Chen is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Pituitary Gland Disorders and Treatments (7 papers) and Radiomics and Machine Learning in Medical Imaging (6 papers). Kang Chen collaborates with scholars based in China, United States and Sweden. Kang Chen's co-authors include Céline Dubé, Iván Soltész, Kristen L. Brunson, Tallie Z. Baram, Mariam Eghbal-Ahmadi, Zhaolin Lu, Lin Lü, Kun Wang, Huijuan Zhu and Tianhui Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Advanced Functional Materials and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Kang Chen

77 papers receiving 927 citations

Author Peers

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

Author						Papers	Cites
Kang Chen	231	217	157	140	137	85	942
Nadia Hernandez	199 0.9×	209 1.0×	138 0.9×	176 1.3×	127 0.9×	55	982
Sofia Markoula	79 0.3×	236 1.1×	147 0.9×	176 1.3×	191 1.4×	66	1.1k
E. Lamperti	171 0.7×	160 0.7×	191 1.2×	243 1.7×	63 0.5×	79	1.2k
G Danta	175 0.8×	203 0.9×	147 0.9×	94 0.7×	164 1.2×	46	1.2k
Yung‐Yee Chang	210 0.9×	159 0.7×	211 1.3×	83 0.6×	79 0.6×	92	1.1k
M.V. Padma	261 1.1×	249 1.1×	277 1.8×	95 0.7×	195 1.4×	60	1.1k
Ronit Gilad	177 0.8×	300 1.4×	127 0.8×	77 0.6×	244 1.8×	75	1.2k
E.R. Heikkinen	352 1.5×	108 0.5×	199 1.3×	108 0.8×	109 0.8×	70	1.2k
Hsin‐Hung Chen	150 0.6×	87 0.4×	198 1.3×	94 0.7×	93 0.7×	79	1.1k
Meng‐Fai Kuo	159 0.7×	237 1.1×	122 0.8×	158 1.1×	144 1.1×	83	1.0k

Countries citing papers authored by Kang Chen

Since Specialization

Citations

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

Fields of papers citing papers by Kang Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang Chen

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