Hua‐Jun Chen

202 total papers · 4.6k total citations
117 papers, 3.1k citations indexed

About

Hua‐Jun Chen is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hua‐Jun Chen has authored 117 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Pulmonary and Respiratory Medicine, 37 papers in Oncology and 31 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hua‐Jun Chen's work include Lung Cancer Treatments and Mutations (45 papers), Functional Brain Connectivity Studies (25 papers) and Lung Cancer Research Studies (22 papers). Hua‐Jun Chen is often cited by papers focused on Lung Cancer Treatments and Mutations (45 papers), Functional Brain Connectivity Studies (25 papers) and Lung Cancer Research Studies (22 papers). Hua‐Jun Chen collaborates with scholars based in China, United States and Canada. Hua‐Jun Chen's co-authors include Yi‐Long Wu, Jin‐Ji Yang, Xu‐Chao Zhang, Qing Zhou, Hong‐Hong Yan, Wen‐Zhao Zhong, Jian Su, Xue‐Ning Yang, Hai‐Yan Tu and Zhi Xie and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Hua‐Jun Chen

108 papers receiving 3.0k citations

Hit Papers

Potential Predictive Valu... 2016 2026 2019 2022 2016 2023 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Hua‐Jun Chen 1.4k 1.4k 610 570 447 117 3.1k
Takayuki Iwamoto 691 0.5× 2.1k 1.5× 1.1k 1.8× 1.7k 3.1× 293 0.7× 165 4.3k
Erik Rasmussen 549 0.4× 2.0k 1.4× 2.2k 3.6× 318 0.6× 368 0.8× 107 4.6k
Antonio Giovanni Solimando 467 0.3× 1.1k 0.8× 1.3k 2.1× 666 1.2× 151 0.3× 128 3.1k
Volker Kunzmann 704 0.5× 2.5k 1.8× 583 1.0× 448 0.8× 276 0.6× 119 4.7k
Sanne de Haas 677 0.5× 1.1k 0.8× 554 0.9× 351 0.6× 322 0.7× 37 1.9k
Rupesh Kotecha 1.8k 1.3× 1.1k 0.8× 269 0.4× 173 0.3× 506 1.1× 223 3.2k
Christopher A. Barker 968 0.7× 2.0k 1.5× 927 1.5× 368 0.6× 450 1.0× 131 4.0k
Joseph P. Erinjeri 1.1k 0.8× 1.2k 0.9× 371 0.6× 236 0.4× 806 1.8× 164 4.0k
Pengfei Zhao 351 0.2× 552 0.4× 593 1.0× 281 0.5× 379 0.8× 197 2.8k
Sandi A. Kwee 558 0.4× 242 0.2× 321 0.5× 320 0.6× 551 1.2× 58 2.0k

Countries citing papers authored by Hua‐Jun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hua‐Jun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua‐Jun Chen

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