Ken Y. Lin

2.5k total citations · 2 hit papers
32 papers, 1.8k citations indexed

About

Ken Y. Lin is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Ken Y. Lin has authored 32 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 8 papers in Molecular Biology and 8 papers in Epidemiology. Recurrent topics in Ken Y. Lin's work include Endometrial and Cervical Cancer Treatments (6 papers), Cervical Cancer and HPV Research (6 papers) and Nitric Oxide and Endothelin Effects (4 papers). Ken Y. Lin is often cited by papers focused on Endometrial and Cervical Cancer Treatments (6 papers), Cervical Cancer and HPV Research (6 papers) and Nitric Oxide and Endothelin Effects (4 papers). Ken Y. Lin collaborates with scholars based in United States, United Kingdom and China. Ken Y. Lin's co-authors include T.‐C. Wu, Chien‐Fu Hung, John P. Cooke, Shanthi Adimoolam, Tomoko Asagami, Philip S. Tsao, Masumi Kimoto, Gerald M. Reaven, Akira Ito and Hideaki Tsuji and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Circulation.

In The Last Decade

Ken Y. Lin

31 papers receiving 1.7k citations

Hit Papers

Impaired Nitric Oxide Synthase Pathway in Diabetes Mellitus 2002 2026 2010 2018 2002 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ken Y. Lin United States 16 531 420 383 344 301 32 1.8k
Kai Kappert Germany 29 1.0k 1.9× 260 0.6× 369 1.0× 483 1.4× 203 0.7× 98 2.3k
Axel Muendlein Austria 24 615 1.2× 295 0.7× 299 0.8× 128 0.4× 291 1.0× 124 1.7k
Tuva B. Dahl Norway 23 680 1.3× 448 1.1× 308 0.8× 501 1.5× 746 2.5× 67 2.1k
Cheng‐Chao Ruan China 26 462 0.9× 327 0.8× 477 1.2× 324 0.9× 228 0.8× 67 1.6k
Michael Holzer Austria 27 500 0.9× 206 0.5× 341 0.9× 397 1.2× 391 1.3× 59 2.3k
Steven J. Adelman United States 24 540 1.0× 214 0.5× 348 0.9× 382 1.1× 173 0.6× 33 2.3k
Karel Chalupský Czechia 21 497 0.9× 463 1.1× 227 0.6× 216 0.6× 131 0.4× 55 1.5k
Toshiyuki Kita Japan 24 624 1.2× 341 0.8× 210 0.5× 327 1.0× 187 0.6× 127 2.1k
Sverre Holm Norway 24 579 1.1× 209 0.5× 170 0.4× 433 1.3× 276 0.9× 46 1.4k
Stefania Momi Italy 23 310 0.6× 415 1.0× 466 1.2× 314 0.9× 117 0.4× 40 1.9k

Countries citing papers authored by Ken Y. Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ken Y. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ken Y. Lin. 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 Ken Y. Lin. The network helps show where Ken Y. Lin may publish in the future.

Co-authorship network of co-authors of Ken Y. Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Ken Y. Lin. A scholar is included among the top collaborators of Ken Y. Lin 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 Ken Y. Lin. Ken Y. Lin 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.
Alexander, Patrick, Albert H. Chan, Monalisa Swain, et al.. (2025). Biophysical and structural analysis of KRAS switch-II pocket inhibitors reveals allele-specific binding constraints. Journal of Biological Chemistry. 301(7). 110331–110331. 1 indexed citations
3.
Cowan, Matthew, Gregory M. Gressel, Kenny Ye, et al.. (2024). Reduced healthcare access contributes to delay of care in endometrial cancer. Gynecologic Oncology. 182. 115–120. 4 indexed citations
4.
Chan, John K., Chunqiao Tian, Joshua P. Kesterson, et al.. (2023). Preoperative and pre-chemotherapy CA-125 levels in high-risk early-stage ovarian cancer – An NRG/GOG study. Gynecologic Oncology. 181. 54–59. 1 indexed citations
5.
Ramos, Enrique, Barbara Yang, Yasmin M. Vasquez, et al.. (2021). Characterization of the Testis-specific LINC01016 Gene Reveals Isoform-specific Roles in Controlling Biological Processes. Journal of the Endocrine Society. 5(11). bvab153–bvab153. 1 indexed citations
6.
Reske, Jake J., Mike R. Wilson, Marie Adams, et al.. (2021). Co-existing TP53 and ARID1A mutations promote aggressive endometrial tumorigenesis. PLoS Genetics. 17(12). e1009986–e1009986. 28 indexed citations
7.
Lin, Ken Y., et al.. (2020). LXR agonists promote lipid droplet formation in RPE cells. Investigative Ophthalmology & Visual Science. 61(7). 3114–3114. 1 indexed citations
8.
Conrad, Lesley B., Ken Y. Lin, Tulip Nandu, et al.. (2019). ADP-Ribosylation Levels and Patterns Correlate with Gene Expression and Clinical Outcomes in Ovarian Cancers. Molecular Cancer Therapeutics. 19(1). 282–291. 18 indexed citations
9.
Choudhari, Ramesh, Melina Sedano, Ramadevi Subramani, et al.. (2019). Long noncoding RNAs in cancer: From discovery to therapeutic targets. Advances in clinical chemistry. 95. 105–147. 98 indexed citations
10.
Lin, Ken Y., Dan Huang, & W. Lee Kraus. (2018). Generating Protein-Linked and Protein-Free Mono-, Oligo-, and Poly(ADP-Ribose) In Vitro. Methods in molecular biology. 1813. 91–108. 11 indexed citations
11.
Lin, Ken Y. & W. Lee Kraus. (2017). PARP Inhibitors for Cancer Therapy. Cell. 169(2). 183–183. 84 indexed citations
12.
Lin, Ken Y., David S. Miller, April A. Bailey, et al.. (2015). Ovarian involvement in endometrioid adenocarcinoma of uterus. Gynecologic Oncology. 138(3). 532–535. 28 indexed citations
13.
Lin, Ken Y., et al.. (2014). Malignant ovarian germ cell tumor — Role of surgical staging and gonadal dysgenesis. Gynecologic Oncology. 134(1). 84–89. 32 indexed citations
14.
Lea, Jayanthi & Ken Y. Lin. (2012). Cervical Cancer. Obstetrics and Gynecology Clinics of North America. 39(2). 233–253. 43 indexed citations
15.
Cocco, Emiliano, Joyce Varughese, Natália Buza, et al.. (2011). Tissue factor expression in ovarian cancer: implications for immunotherapy with hI-con1, a factor VII-IgGFc chimeric protein targeting tissue factor. Clinical & Experimental Metastasis. 28(7). 689–700. 33 indexed citations
16.
Kang, Tae Heung, Kyung Hee Noh, Jin Hee Kim, et al.. (2010). Ectopic Expression of X-Linked Lymphocyte-Regulated Protein pM1 Renders Tumor Cells Resistant to Antitumor Immunity. Cancer Research. 70(8). 3062–3070. 21 indexed citations
17.
Lin, Ken Y., et al.. (2010). Perspectives for Preventive and Therapeutic HPV Vaccines. Journal of the Formosan Medical Association. 109(1). 4–24. 80 indexed citations
18.
Lin, Ken Y., et al.. (2010). Therapeutic HPV DNA vaccines. Immunologic Research. 47(1-3). 86–112. 98 indexed citations
19.
Noh, Kyung Hee, Tae Heung Kang, Jin Hee Kim, et al.. (2008). Activation of Akt as a Mechanism for Tumor Immune Evasion. Molecular Therapy. 17(3). 439–447. 74 indexed citations
20.
Lin, Ken Y., et al.. (2004). A Tale of Two Molecules: Nitric Oxide and Asymmetric Dimethylarginine. Zhōnghuá mínguó xīnzàngxué huì zázhì. 20(4). 201–211. 5 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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