Jan-Kan Chen

1.2k total citations · 1 hit paper
9 papers, 983 citations indexed

About

Jan-Kan Chen is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Jan-Kan Chen has authored 9 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Oncology. Recurrent topics in Jan-Kan Chen's work include Corneal Surgery and Treatments (6 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Fibroblast Growth Factor Research (2 papers). Jan-Kan Chen is often cited by papers focused on Corneal Surgery and Treatments (6 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Fibroblast Growth Factor Research (2 papers). Jan-Kan Chen collaborates with scholars based in Taiwan and United States. Jan-Kan Chen's co-authors include Ray Jui-Fang Tsai, Der‐Yuan Wang, Ray J. Tsai, Song‐Shu Lin, Yi‐Jen Hsueh, Tzu‐Chien V. Wang, Ann‐Joy Cheng, Hung‐Chi Chen, Cheng‐Ta Yang and Kuan‐Der Lee and has published in prestigious journals such as New England Journal of Medicine, Biochemical and Biophysical Research Communications and Journal of Cell Science.

In The Last Decade

Jan-Kan Chen

9 papers receiving 950 citations

Hit Papers

Reconstruction of Damaged Corneas by Transplantation of A... 2000 2026 2008 2017 2000 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan-Kan Chen Taiwan 8 856 641 223 121 88 9 983
Patrizia Paterna Italy 7 858 1.0× 651 1.0× 194 0.9× 198 1.6× 73 0.8× 8 1.1k
Sten Ræder Norway 16 444 0.5× 508 0.8× 65 0.3× 67 0.6× 53 0.6× 55 746
Stéphanie Proulx Canada 22 731 0.9× 257 0.4× 33 0.1× 192 1.6× 91 1.0× 44 937
Yuzuru Sasamoto United States 12 406 0.5× 216 0.3× 52 0.2× 236 2.0× 47 0.5× 26 722
Nicholas Dushku United States 8 620 0.7× 276 0.4× 124 0.6× 130 1.1× 67 0.8× 9 710
Kristina Spaniol Germany 14 247 0.3× 151 0.2× 43 0.2× 98 0.8× 67 0.8× 46 488
Zhi-Gang Wei United States 6 302 0.4× 269 0.4× 76 0.3× 171 1.4× 23 0.3× 7 654
Johannes Schwartzkopff Germany 12 280 0.3× 155 0.2× 30 0.1× 106 0.9× 30 0.3× 25 600
Zahra Sadrai United States 14 409 0.5× 422 0.7× 17 0.1× 140 1.2× 41 0.5× 22 799
Ah Young Ko South Korea 8 171 0.2× 128 0.2× 22 0.1× 93 0.8× 71 0.8× 9 398

Countries citing papers authored by Jan-Kan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jan-Kan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan-Kan Chen

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

All Works

9 of 9 papers shown
1.
Lin, Yu‐Ching, Chin‐Kuo Lin, Kuan‐Der Lee, et al.. (2011). CK2 Inhibitors Enhance the Radiosensitivity of Human Non-Small Cell Lung Cancer Cells Through Inhibition of Stat3 Activation. Cancer Biotherapy and Radiopharmaceuticals. 26(3). 381–388. 19 indexed citations
2.
Hsueh, Yi‐Jen, et al.. (2011). STAT3 Regulates the Proliferation and Differentiation of Rabbit Limbal Epithelial Cells via a ΔNp63-Dependent Mechanism. Investigative Ophthalmology & Visual Science. 52(7). 4685–4685. 18 indexed citations
3.
Wang, Der‐Yuan, et al.. (2009). The growth-promoting effect of KGF on limbal epithelial cells is mediated by upregulation of ΔNp63α through the p38 pathway. Journal of Cell Science. 122(24). 4473–4480. 44 indexed citations
4.
Wang, Der‐Yuan, et al.. (2005). Regulation of Limbal Keratinocyte Proliferation and Differentiation by TAp63 and ΔNp63 Transcription Factors. Investigative Ophthalmology & Visual Science. 46(9). 3102–3102. 19 indexed citations
5.
Hsueh, Yi‐Jen, et al.. (2004). Age-Related Expressions of p63 and Other Keratinocyte Stem Cell Markers in Rat Cornea. Journal of Biomedical Science. 11(5). 641–651. 31 indexed citations
6.
Tsai, Ray Jui-Fang, et al.. (2000). Reconstruction of Damaged Corneas by Transplantation of Autologous Limbal Epithelial Cells. New England Journal of Medicine. 343(2). 86–93. 765 indexed citations breakdown →
7.
Cheng, Ann‐Joy, et al.. (1997). Differential Inhibition of Telomerase Activity during Induction of Differentiation in Hematopoietic, Melanoma, and Glioma Cells in Culture. Biochemical and Biophysical Research Communications. 237(2). 438–444. 15 indexed citations
8.
Chen, Jan-Kan, Ray J. Tsai, & Song‐Shu Lin. (1994). Fibroblasts isolated from human pterygia exhibit transformed cell characteristics. In Vitro Cellular & Developmental Biology - Animal. 30(4). 243–248. 66 indexed citations
9.
Chen, Jan-Kan, et al.. (1989). Transforming growth factor-β inhibits cellular adenylate cyclase activity in cultured human arterial endothelial cells. In Vitro Cellular & Developmental Biology - Plant. 25(1). 101–104. 6 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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