Kexun Zhou

46 total papers · 1.1k total citations
39 papers, 705 citations indexed

About

Kexun Zhou is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Kexun Zhou has authored 39 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Oncology, 22 papers in Pulmonary and Respiratory Medicine and 9 papers in Molecular Biology. Recurrent topics in Kexun Zhou's work include Cancer Immunotherapy and Biomarkers (11 papers), Pancreatic and Hepatic Oncology Research (9 papers) and Lung Cancer Treatments and Mutations (8 papers). Kexun Zhou is often cited by papers focused on Cancer Immunotherapy and Biomarkers (11 papers), Pancreatic and Hepatic Oncology Research (9 papers) and Lung Cancer Treatments and Mutations (8 papers). Kexun Zhou collaborates with scholars based in China and United States. Kexun Zhou's co-authors include Shi H, Yanyan Lou, Ruqin Chen, Rami Manochakian, Qiu Li, Yujie Zhao, Abdel‐Ghani Azzouqa, Yan Zhang, Wei‐Ting Liao and Feng Wen and has published in prestigious journals such as Bioresource Technology, Frontiers in Immunology and Experimental Cell Research.

In The Last Decade

Kexun Zhou

36 papers receiving 699 citations

Author Peers

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

Author						Papers	Cites
Kexun Zhou	389	297	199	125	86	39	705
Meredith K. Chuk	426 1.1×	258 0.9×	175 0.9×	116 0.9×	131 1.5×	29	852
Taizo Hirata	548 1.4×	283 1.0×	151 0.8×	143 1.1×	130 1.5×	36	801
Sasja F. Mulder	250 0.6×	337 1.1×	263 1.3×	128 1.0×	64 0.7×	38	663
Ahmad Shariftabrizi	305 0.8×	190 0.6×	308 1.5×	170 1.4×	79 0.9×	43	854
Yunan Han	327 0.8×	215 0.7×	149 0.7×	134 1.1×	45 0.5×	39	688
Raimondo Di Liello	353 0.9×	223 0.8×	264 1.3×	111 0.9×	85 1.0×	33	726
Nikolaos Kentepozidis	628 1.6×	337 1.1×	203 1.0×	162 1.3×	103 1.2×	59	898
Yoshiko Umeyama	488 1.3×	552 1.9×	262 1.3×	145 1.2×	38 0.4×	35	806
Philip E. Lammers	369 0.9×	149 0.5×	197 1.0×	115 0.9×	167 1.9×	40	736
Karim Rihawi	450 1.2×	368 1.2×	307 1.5×	174 1.4×	131 1.5×	50	900

Countries citing papers authored by Kexun Zhou

Since Specialization

Citations

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

Fields of papers citing papers by Kexun Zhou

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kexun Zhou

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