Hsiang-Chun Chen

69 total papers · 804 total citations
34 papers, 549 citations indexed

About

Hsiang-Chun Chen is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research. According to data from OpenAlex, Hsiang-Chun Chen has authored 34 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pulmonary and Respiratory Medicine, 13 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Hsiang-Chun Chen's work include Prostate Cancer Treatment and Research (16 papers), PARP inhibition in cancer therapy (13 papers) and Cancer Genomics and Diagnostics (5 papers). Hsiang-Chun Chen is often cited by papers focused on Prostate Cancer Treatment and Research (16 papers), PARP inhibition in cancer therapy (13 papers) and Cancer Genomics and Diagnostics (5 papers). Hsiang-Chun Chen collaborates with scholars based in United States, France and United Kingdom. Hsiang-Chun Chen's co-authors include Karim Fizazi, Fred Saad, Johann S. de Bono, Cynthia G. Healy, Celestia S. Higano, Akos Czibere, Consuelo Buttigliero, Niven Mehra, Marielena Mata and Bradley M. Broom and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Gastroenterology.

In The Last Decade

Hsiang-Chun Chen

30 papers receiving 544 citations

Hit Papers

Talazoparib monotherapy i... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Hsiang-Chun Chen 427 309 208 133 67 34 549
Ines Figueiredo 350 0.8× 237 0.8× 182 0.9× 229 1.7× 94 1.4× 25 570
Chenfei Chi 279 0.7× 172 0.6× 165 0.8× 160 1.2× 63 0.9× 26 473
Semini Sumanasuriya 343 0.8× 150 0.5× 174 0.8× 260 2.0× 70 1.0× 22 508
Tatsuya Shimomura 262 0.6× 172 0.6× 203 1.0× 86 0.6× 67 1.0× 37 466
Karin Welén 249 0.6× 176 0.6× 223 1.1× 150 1.1× 60 0.9× 20 488
Steven Yip 312 0.7× 252 0.8× 204 1.0× 165 1.2× 50 0.7× 54 520
Luis Manuel Martínez-Barrera 270 0.6× 270 0.9× 156 0.8× 70 0.5× 40 0.6× 23 520
Carolyn Evan 382 0.9× 185 0.6× 140 0.7× 164 1.2× 77 1.1× 20 523
Rossella Martinello 210 0.5× 426 1.4× 133 0.6× 226 1.7× 91 1.4× 26 619
Iben Kümler 178 0.4× 383 1.2× 255 1.2× 149 1.1× 111 1.7× 31 609

Countries citing papers authored by Hsiang-Chun Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hsiang-Chun Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hsiang-Chun Chen

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