Tzu-Hsiu Chen

1.7k total citations · 1 hit paper
7 papers, 867 citations indexed

About

Tzu-Hsiu Chen is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Tzu-Hsiu Chen has authored 7 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pulmonary and Respiratory Medicine, 4 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Tzu-Hsiu Chen's work include HER2/EGFR in Cancer Research (3 papers), Lung Cancer Treatments and Mutations (3 papers) and Cancer therapeutics and mechanisms (2 papers). Tzu-Hsiu Chen is often cited by papers focused on HER2/EGFR in Cancer Research (3 papers), Lung Cancer Treatments and Mutations (3 papers) and Cancer therapeutics and mechanisms (2 papers). Tzu-Hsiu Chen collaborates with scholars based in United States, Taiwan and Germany. Tzu-Hsiu Chen's co-authors include Heidi Greulich, Matthew Meyerson, Whei Feng, David A. Frank, James V. Alvarez, Pasi A. Jänne, William C. Hahn, William R. Sellers, Yuki Yuza and Roman K. Thomas and has published in prestigious journals such as Cancer Research, PLoS Medicine and Cancer Biology & Therapy.

In The Last Decade

Tzu-Hsiu Chen

7 papers receiving 851 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Oncogenic Transformation by Inhibitor-Sensitive and -Resistant EGFR Mutants

2005 536 citations Heidi Greulich, Tzu-Hsiu Chen et al. PLoS Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Tzu-Hsiu Chen United States	6	599	581	425	119	55	7	867
George Blumenschein United States	6	433 0.7×	675 1.2×	388 0.9×	104 0.9×	25 0.5×	8	906
Atsuko Ogino Japan	10	673 1.1×	527 0.9×	498 1.2×	176 1.5×	50 0.9×	18	917
Erina Hatashita Japan	15	492 0.8×	579 1.0×	588 1.4×	130 1.1×	40 0.7×	17	1.0k
Ken Uchibori Japan	15	614 1.0×	567 1.0×	360 0.8×	156 1.3×	54 1.0×	59	885
Clara Mayo Spain	14	628 1.0×	541 0.9×	282 0.7×	224 1.9×	17 0.3×	30	839
Bin-Chi Liao Taiwan	15	561 0.9×	553 1.0×	217 0.5×	118 1.0×	59 1.1×	36	791
Chee-Seng Tan Singapore	3	326 0.5×	257 0.4×	286 0.7×	116 1.0×	52 0.9×	4	522
Anne McLeer‐Florin France	13	586 1.0×	420 0.7×	246 0.6×	260 2.2×	143 2.6×	17	895
Sara Nannizzi Italy	14	408 0.7×	785 1.4×	543 1.3×	258 2.2×	21 0.4×	21	1.2k
Imane Chaib Spain	14	358 0.6×	309 0.5×	428 1.0×	199 1.7×	25 0.5×	39	719

Countries citing papers authored by Tzu-Hsiu Chen

Since Specialization

Citations

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

Fields of papers citing papers by Tzu-Hsiu Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tzu-Hsiu Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Tzu-Hsiu Chen. A scholar is included among the top collaborators of Tzu-Hsiu 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 Tzu-Hsiu Chen. Tzu-Hsiu Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Chen, Tzu-Hsiu, et al.. (2013). Comparison of visual effects of immersion fluids for dermoscopic examination of acral volar melanocytic lesions. Dermatologica Sinica. 32(2). 69–74. 2 indexed citations

2.

Greulich, Heidi, Bethany Kaplan, Philipp Mertins, et al.. (2012). Abstract 1: Oncogenic extracellular domain mutations of ERBB2 in cancer. Cancer Research. 72(8_Supplement). 1–1. 55 indexed citations

3.

Chen, Shih‐Ying, et al.. (2011). Dietary supplements usage among elderly Taiwanese during 2005-2008.. PubMed. 20(2). 327–36. 23 indexed citations

4.

Sos, Martin L., Haridas B. Rode, Stefanie Heynck, et al.. (2010). Chemogenomic Profiling Provides Insights into the Limited Activity of Irreversible EGFR Inhibitors in Tumor Cells Expressing the T790M EGFR Resistance Mutation. Cancer Research. 70(3). 868–874. 175 indexed citations

5.

Yuza, Yuki, Karen A. Glatt, Jingrui Jiang, et al.. (2007). Allele-dependent variation in the relative cellular potency of distinct EGFR inhibitors. Cancer Biology & Therapy. 6(5). 661–667. 65 indexed citations

6.

Chen, Tzu-Hsiu, et al.. (2006). Study on the Composites of Two Sized Silica Filled in PTFE. Journal of Reinforced Plastics and Composites. 25(10). 1053–1058. 11 indexed citations

7.

Greulich, Heidi, Tzu-Hsiu Chen, Whei Feng, et al.. (2005). Oncogenic Transformation by Inhibitor-Sensitive and -Resistant EGFR Mutants. PLoS Medicine. 2(11). e313–e313. 536 indexed citations breakdown →

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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