Pei-Ling Chen

6.8k total citations · 1 hit paper
47 papers, 1.9k citations indexed

About

Pei-Ling Chen is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Pei-Ling Chen has authored 47 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 12 papers in Oncology and 11 papers in Immunology. Recurrent topics in Pei-Ling Chen's work include CAR-T cell therapy research (7 papers), Cutaneous lymphoproliferative disorders research (7 papers) and Systemic Lupus Erythematosus Research (6 papers). Pei-Ling Chen is often cited by papers focused on CAR-T cell therapy research (7 papers), Cutaneous lymphoproliferative disorders research (7 papers) and Systemic Lupus Erythematosus Research (6 papers). Pei-Ling Chen collaborates with scholars based in United States, Taiwan and China. Pei-Ling Chen's co-authors include Thomas R. Clandinin, Jennifer A. Wargo, Qiuming He, Padmanee Sharma, Chantale Bernatchez, Jason Roszik, Jianfeng Chen, Tenghui Chen, Lewis Z. Shi and Jianjun Gao and has published in prestigious journals such as Cell, Neuron and Journal of Clinical Oncology.

In The Last Decade

Pei-Ling Chen

47 papers receiving 1.9k citations

Hit Papers

Loss of IFN-γ Pathway Genes in Tumor Cells as a Mechanism... 2016 2026 2019 2022 2016 250 500 750
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.

  1. Loss of IFN-γ Pathway Genes in Tumor Cells as a Mechanism of Resistance to Anti-CTLA-4 Therapy
    2016 913 citations Jianjun Gao, Lewis Z. Shi et al. Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pei-Ling Chen United States 16 952 676 672 291 193 47 1.9k
Paul R. Borghesani United States 17 1.1k 1.2× 880 1.3× 1.0k 1.5× 553 1.9× 210 1.1× 25 3.1k
Gwendalyn D. King United States 34 495 0.5× 588 0.9× 1.2k 1.8× 183 0.6× 145 0.8× 57 2.9k
Kristoffer Riecken Germany 27 560 0.6× 563 0.8× 995 1.5× 164 0.6× 174 0.9× 85 2.4k
François D. Boussin France 33 774 0.8× 443 0.7× 2.0k 3.0× 301 1.0× 297 1.5× 93 3.6k
Laëtitia Comps‐Agrar France 16 1.2k 1.2× 1.3k 1.8× 885 1.3× 460 1.6× 61 0.3× 27 2.6k
Marta Joana Costa Jordão Germany 9 515 0.5× 1.2k 1.8× 775 1.2× 151 0.5× 290 1.5× 9 2.5k
Guo-Huang Fan China 26 554 0.6× 678 1.0× 1.2k 1.8× 532 1.8× 176 0.9× 43 2.3k
Violeta Chiţu United States 22 421 0.4× 1.5k 2.2× 900 1.3× 142 0.5× 127 0.7× 38 2.9k
Liangwen Xiong United States 18 976 1.0× 778 1.2× 915 1.4× 116 0.4× 223 1.2× 24 2.0k
Thomas Amatruda United States 33 1.6k 1.7× 943 1.4× 1.7k 2.5× 300 1.0× 135 0.7× 66 3.8k

Countries citing papers authored by Pei-Ling Chen

Since Specialization
Citations

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

Fields of papers citing papers by Pei-Ling Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei-Ling Chen

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

All Works

20 of 20 papers shown
1.
Markowitz, Joseph, Michael J. Shamblott, Andrew S. Brohl, et al.. (2024). First-in-Human Stage III/IV Melanoma Clinical Trial of Immune Priming Agent IFx-Hu2.0. Molecular Cancer Therapeutics. 23(8). 1139–1143. 5 indexed citations
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Tarhini, Ahmad A., Zeynep Eroglu, Jonathan S. Zager, et al.. (2024). Neoadjuvant Intratumoral Plasmid IL-12 Electro-Gene-Transfer and Nivolumab in Patients with Operable, Locoregionally Advanced Melanoma. Clinical Cancer Research. 30(23). 5333–5341. 4 indexed citations
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Harro, Carly M., Kimberly B. Sprenger, Ricardo A. Chaurio, et al.. (2023). Sézary syndrome originates from heavily mutated hematopoietic progenitors. Blood Advances. 7(18). 5586–5602. 5 indexed citations
6.
Cohen, Leah, Vidhi Shah, Pei-Ling Chen, Jane L. Messina, & Lucia Seminario‐Vidal. (2020). Cutaneous squamous cell carcinoma causing a rhinophymatous mass in a patient with clinically occult hypertrophic lupus erythematosus. Lupus. 29(6). 644–648. 3 indexed citations
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Patel, Nupur, et al.. (2020). Cutaneous squamous cell carcinoma arising within a mycosis fungoides patch: Case report and review of the literature. JAAD Case Reports. 6(12). 1288–1290. 2 indexed citations
9.
Tsai, Jessica W., et al.. (2019). Transcriptional Feedback Links Lipid Synthesis to Synaptic Vesicle Pools in Drosophila Photoreceptors. Neuron. 101(4). 721–737.e4. 19 indexed citations
10.
Chen, Pei-Ling, Ho‐Hsiung Lin, & Sheng‐Mou Hsiao. (2019). Predictors of subsequent pregnancy in women who underwent laparoscopic cornuostomy or laparoscopic wedge resection for interstitial pregnancy. Journal of the Chinese Medical Association. 82(2). 138–142. 5 indexed citations
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Chen, Pei-Ling, et al.. (2017). Successful treatment of gestational trophoblastic neoplasia in the uterine cornus with laparoscopic cornuostomy and postoperative methotrexate injection. Taiwanese Journal of Obstetrics and Gynecology. 56(2). 261–263. 4 indexed citations
13.
Feldmeyer, Laurence, Courtney W. Hudgens, Priyadharsini Nagarajan, et al.. (2016). Density, Distribution, and Composition of Immune Infiltrates Correlate with Survival in Merkel Cell Carcinoma. Clinical Cancer Research. 22(22). 5553–5563. 86 indexed citations
14.
Gao, Jianjun, Lewis Z. Shi, Hao Zhao, et al.. (2016). Loss of IFN-γ Pathway Genes in Tumor Cells as a Mechanism of Resistance to Anti-CTLA-4 Therapy. Cell. 167(2). 397–404.e9. 913 indexed citations breakdown →
15.
Zou, Yanfeng, Jianhua Xu, Faming Pan, et al.. (2015). Glucocorticoid receptor genetic polymorphisms is associated with improvement of health-related quality of life in Chinese population with systemic lupus erythematosus. Clinical Rheumatology. 34(9). 1537–1544. 8 indexed citations
16.
Chen, Pei-Ling, et al.. (2013). Growth-associated protein 43 in differentiating peripheral nerve sheath tumors from other non-neural spindle cell neoplasms. Modern Pathology. 27(2). 184–193. 13 indexed citations
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Chen, Pei-Ling, Hai‐Feng Pan, Jin‐Hui Tao, et al.. (2011). Prevalence and correlates of suicidal ideation in SLE inpatients: Chinese experience. Rheumatology International. 32(9). 2707–2714. 58 indexed citations
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Tsai, Pei-Shan, Pei-Ling Chen, Yuen‐Liang Lai, Ming‐Been Lee, & Chia‐Chin Lin. (2007). Effects of Electromyography Biofeedback-Assisted Relaxation on Pain in Patients With Advanced Cancer in a Palliative Care Unit. Cancer Nursing. 30(5). 347–353. 36 indexed citations

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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