Hui‐Ping Chien

23 total papers · 480 total citations
18 papers, 367 citations indexed

About

Hui‐Ping Chien is a scholar working on Oncology, Surgery and Molecular Biology. According to data from OpenAlex, Hui‐Ping Chien has authored 18 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 4 papers in Surgery and 4 papers in Molecular Biology. Recurrent topics in Hui‐Ping Chien's work include Systemic Lupus Erythematosus Research (3 papers), Lymphoma Diagnosis and Treatment (2 papers) and Viral-associated cancers and disorders (2 papers). Hui‐Ping Chien is often cited by papers focused on Systemic Lupus Erythematosus Research (3 papers), Lymphoma Diagnosis and Treatment (2 papers) and Viral-associated cancers and disorders (2 papers). Hui‐Ping Chien collaborates with scholars based in Taiwan, United States and Germany. Hui‐Ping Chien's co-authors include Chuen Hsueh, Yu‐Sun Chang, Shir‐Hwa Ueng, Yung‐Chang Lin, Shin‐Cheh Chen, Jen‐Der Lin, Liang‐Che Chang, Jim‐Ray Chen, Tsan-Yu Hsieh and Jing‐Long Huang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Allergy and Clinical Immunology.

In The Last Decade

Hui‐Ping Chien

18 papers receiving 361 citations

Author Peers

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

Author Last Decade Papers Cites
Hui‐Ping Chien 152 141 82 76 57 18 367
Weijun Tian 139 0.9× 124 0.9× 122 1.5× 71 0.9× 81 1.4× 24 416
Xiao-Hui Qiao 132 0.9× 94 0.7× 99 1.2× 92 1.2× 44 0.8× 20 337
Kyoko Wakamatsu 92 0.6× 74 0.5× 54 0.7× 43 0.6× 54 0.9× 23 358
Lucie Coppin 174 1.1× 138 1.0× 52 0.6× 53 0.7× 70 1.2× 24 411
Takako Suda 117 0.8× 136 1.0× 106 1.3× 70 0.9× 53 0.9× 25 391
Miranda Versloot 141 0.9× 95 0.7× 106 1.3× 54 0.7× 76 1.3× 19 444
Katherine M. Jasnosz 88 0.6× 72 0.5× 119 1.5× 54 0.7× 113 2.0× 16 391
Yoichiro Nakano 193 1.3× 156 1.1× 31 0.4× 27 0.4× 39 0.7× 12 393
Shinya Maita 109 0.7× 138 1.0× 83 1.0× 147 1.9× 48 0.8× 23 370
Takanori Kusuyama 141 0.9× 66 0.5× 110 1.3× 55 0.7× 93 1.6× 20 405

Countries citing papers authored by Hui‐Ping Chien

Since Specialization
Citations

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

Fields of papers citing papers by Hui‐Ping Chien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui‐Ping Chien. 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 Hui‐Ping Chien. The network helps show where Hui‐Ping Chien may publish in the future.

Co-authorship network of co-authors of Hui‐Ping Chien

This figure shows the co-authorship network connecting the top 25 collaborators of Hui‐Ping Chien. A scholar is included among the top collaborators of Hui‐Ping Chien 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 Hui‐Ping Chien. Hui‐Ping Chien 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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