Zhaohui Jin

238 total papers · 4.3k total citations
137 papers, 2.9k citations indexed

About

Zhaohui Jin is a scholar working on Oncology, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Zhaohui Jin has authored 137 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Oncology, 45 papers in Surgery and 33 papers in Pathology and Forensic Medicine. Recurrent topics in Zhaohui Jin's work include Colorectal Cancer Treatments and Studies (29 papers), Genetic factors in colorectal cancer (28 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (23 papers). Zhaohui Jin is often cited by papers focused on Colorectal Cancer Treatments and Studies (29 papers), Genetic factors in colorectal cancer (28 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (23 papers). Zhaohui Jin collaborates with scholars based in United States, China and Japan. Zhaohui Jin's co-authors include Frank A. Sinicrope, Xianhua Piao, Xingming Deng, Fengqin Gao, Klaus Kluck, Jan Budczies, Dan Sha, Albrecht Stenzinger, Tammy Flagg and Rong Luo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Zhaohui Jin

123 papers receiving 2.9k citations

Hit Papers

Tumor Mutational Burden a... 2020 2026 2022 2024 2020 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Zhaohui Jin 1.3k 1.1k 578 465 412 137 2.9k
Michael Haas 1.5k 1.2× 1.3k 1.2× 615 1.1× 530 1.1× 544 1.3× 95 3.4k
Keiji Hirata 1.2k 0.9× 1.1k 1.0× 401 0.7× 330 0.7× 667 1.6× 188 2.8k
Yan Sun 914 0.7× 649 0.6× 593 1.0× 361 0.8× 249 0.6× 91 2.5k
Qin Li 1.1k 0.9× 1.3k 1.2× 1.1k 2.0× 546 1.2× 490 1.2× 153 3.9k
Hao Xiong 2.0k 1.6× 1.6k 1.4× 411 0.7× 376 0.8× 319 0.8× 132 4.3k
Yuh‐Shan Jou 2.7k 2.1× 791 0.7× 437 0.8× 907 2.0× 269 0.7× 78 3.9k
Luca Messerini 1.0k 0.8× 1.1k 1.0× 725 1.3× 466 1.0× 888 2.2× 113 3.7k
Masahiro Gotoh 1.7k 1.4× 725 0.7× 742 1.3× 451 1.0× 429 1.0× 80 3.1k
Shahriar Koochekpour 2.2k 1.8× 722 0.7× 909 1.6× 981 2.1× 248 0.6× 84 3.8k
Susumu Saigusa 1.4k 1.1× 1.5k 1.3× 601 1.0× 1.1k 2.3× 600 1.5× 120 3.2k

Countries citing papers authored by Zhaohui Jin

Since Specialization
Citations

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

Fields of papers citing papers by Zhaohui Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaohui Jin

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