Ying-Nan P. Chen

2.3k total citations · 1 hit paper
7 papers, 892 citations indexed

About

Ying-Nan P. Chen is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Ying-Nan P. Chen has authored 7 papers receiving a total of 892 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Oncology and 2 papers in Cell Biology. Recurrent topics in Ying-Nan P. Chen's work include Cancer-related Molecular Pathways (3 papers), Protein Hydrolysis and Bioactive Peptides (3 papers) and Cancer-related gene regulation (2 papers). Ying-Nan P. Chen is often cited by papers focused on Cancer-related Molecular Pathways (3 papers), Protein Hydrolysis and Bioactive Peptides (3 papers) and Cancer-related gene regulation (2 papers). Ying-Nan P. Chen collaborates with scholars based in United States and United Kingdom. Ying-Nan P. Chen's co-authors include Alexander W. Wood, Frank Petersen, Dennis S. France, Phillip Crews, Huisheng Wang, Charles W. Bruseo, Maı̈na Lepourcelet, Ramesh A. Shivdasani, Timothy M. Ramsey and Mary St. Martin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Cell and Biochemical and Biophysical Research Communications.

In The Last Decade

Ying-Nan P. Chen

7 papers receiving 868 citations

Hit Papers

Small-molecule antagonists of the oncogenic Tcf/β-catenin... 2004 2026 2011 2018 2004 100 200 300 400 500
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. Small-molecule antagonists of the oncogenic Tcf/β-catenin protein complex
    2004 532 citations Maı̈na Lepourcelet, Ying-Nan P. Chen et al. Cancer Cell profile →

Peers

Ying-Nan P. Chen
Sherif Tawfic United States
Ann Mangelsdorf Soderquist United States
Vladimir Khazak United States
Michela Marani United States
H Vakifahmetoglu Sweden
Stuart Black United States
Anne Mazars France
Christopher G. Danes United States
MV Blagosklonny United States
Víctor J. Sánchez‐Arévalo Lobo Spain
Sherif Tawfic United States
Ying-Nan P. Chen
Citations per year, relative to Ying-Nan P. Chen Ying-Nan P. Chen (= 1×) peers Sherif Tawfic

Countries citing papers authored by Ying-Nan P. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ying-Nan P. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying-Nan P. Chen

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

All Works

7 of 7 papers shown
1.
Hale, Karl J., Soraya Manaviazar, Linos Lazarides, et al.. (2009). Synthesis of A83586C Analogs with Potent Anticancer and β-Catenin/ TCF4/Osteopontin Inhibitory Effects and Insights Into How A83586C Modulates E2Fs and pRb. Organic Letters. 11(3). 737–740. 9 indexed citations
2.
Lepourcelet, Maı̈na, Ying-Nan P. Chen, Dennis S. France, et al.. (2004). Small-molecule antagonists of the oncogenic Tcf/β-catenin protein complex. Cancer Cell. 5(1). 91–102. 532 indexed citations breakdown →
3.
Sharma, Sushil, Timothy M. Ramsey, Ying-Nan P. Chen, et al.. (2001). Identification of E2F-1/Cyclin A antagonists. Bioorganic & Medicinal Chemistry Letters. 11(18). 2449–2452. 11 indexed citations
4.
Chen, Ying-Nan P., Sushil Sharma, Timothy M. Ramsey, et al.. (1999). Selective killing of transformed cells by cyclin/cyclin-dependent kinase 2 antagonists. Proceedings of the National Academy of Sciences. 96(8). 4325–4329. 258 indexed citations
5.
Ehlers, Mario R., Ying-Nan P. Chen, & James Riordan. (1992). The unique N-terminal sequence of testis angiotensin-converting enzyme is heavily O-glycosylated and unessential for activity or stability. Biochemical and Biophysical Research Communications. 183(1). 199–205. 44 indexed citations
6.
Chen, Ying-Nan P., Mario R. Ehlers, & James Riordan. (1992). The functional role of tyrosine-200 in human testis angiotensin-converting enzyme. Biochemical and Biophysical Research Communications. 184(1). 306–309. 5 indexed citations
7.
Ehlers, Mario R., Ying-Nan P. Chen, & James Riordan. (1991). Purification and characterization of recombinant human testis angiotensin-converting enzyme expressed in chinese hamster ovary cells. Protein Expression and Purification. 2(1). 1–9. 33 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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2026