J.-C. Lin

509 total citations
10 papers, 314 citations indexed

About

J.-C. Lin is a scholar working on Oncology, Epidemiology and Infectious Diseases. According to data from OpenAlex, J.-C. Lin has authored 10 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Epidemiology and 2 papers in Infectious Diseases. Recurrent topics in J.-C. Lin's work include Viral-associated cancers and disorders (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Software Reliability and Analysis Research (2 papers). J.-C. Lin is often cited by papers focused on Viral-associated cancers and disorders (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Software Reliability and Analysis Research (2 papers). J.-C. Lin collaborates with scholars based in Taiwan, United States and China. J.-C. Lin's co-authors include J S Pagano, Ying‐Chih Cheng, Eng‐Shang Huang, Ginger E. Dutschman, Eng‐Chun Mar, Susan P. Grill, Yu T. Su, Donald J. Nelson, C U Lambe and Charles M. van der Horst and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Virology and Biochemical and Biophysical Research Communications.

In The Last Decade

J.-C. Lin

10 papers receiving 274 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.-C. Lin Taiwan 6 175 89 57 57 47 10 314
Jesse Chen United States 10 67 0.4× 66 0.7× 173 3.0× 7 0.1× 50 1.1× 25 320
Sarva M. Tadepalli United States 8 114 0.7× 59 0.7× 73 1.3× 24 0.4× 21 0.4× 8 268
Bo Pei China 13 89 0.5× 59 0.7× 72 1.3× 14 0.2× 15 0.3× 28 571
Marianne Godbout Canada 7 68 0.4× 40 0.4× 130 2.3× 9 0.2× 21 0.4× 9 392
Pei-Ling Tsai Taiwan 11 67 0.4× 20 0.2× 157 2.8× 29 0.5× 32 0.7× 20 356
Shih-Chieh Su Taiwan 13 42 0.2× 48 0.5× 316 5.5× 50 0.9× 197 4.2× 28 599
David C. Crosby United States 9 73 0.4× 32 0.4× 213 3.7× 34 0.6× 115 2.4× 15 392
Guanglin Lei China 10 44 0.3× 49 0.6× 211 3.7× 43 0.8× 92 2.0× 25 367
Yuanyuan Qiao China 11 23 0.1× 44 0.5× 133 2.3× 16 0.3× 85 1.8× 41 374
William A. Crutcher United States 9 68 0.4× 264 3.0× 56 1.0× 45 0.8× 10 0.2× 13 360

Countries citing papers authored by J.-C. Lin

Since Specialization
Citations

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

Fields of papers citing papers by J.-C. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J.-C. 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 J.-C. Lin. The network helps show where J.-C. Lin may publish in the future.

Co-authorship network of co-authors of J.-C. Lin

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

All Works

10 of 10 papers shown
1.
Lee, Victor, Roger K.C. Ngan, Quan Sing Ng, et al.. (2016). 394TiP KEYNOTE-122: Phase 2 study of pembrolizumab versus standard-of-care chemotherapy in platinum-pretreated, recurrent or metastatic nasopharyngeal carcinoma. Annals of Oncology. 27. ix122–ix122. 3 indexed citations
2.
Lin, J.-C., et al.. (2003). Zero-one integer programming model in path selection problem of structural testing. 618–627. 3 indexed citations
3.
Lin, J.-C., et al.. (2000). Generating Real-Time Software Test Cases by Time Petri Nets. International Journal of Computers and Applications. 22(3). 151–158. 1 indexed citations
4.
Lin, J.-C., et al.. (1994). Power control algorithm for cellular radio systems. Electronics Letters. 30(3). 195–197. 24 indexed citations
5.
Lin, J.-C., et al.. (1994). Use of radius weighted mean to cluster two-classdata. Electronics Letters. 30(10). 757–759. 4 indexed citations
6.
Lin, J.-C.. (1993). The Epstein-Barr Virus DNA Polymerase Transactivates the Human Immunodeficiency Virus Type 1 5′ Long Terminal Repeat. Biochemical and Biophysical Research Communications. 195(1). 242–249. 12 indexed citations
7.
Lin, J.-C., et al.. (1989). A generalized optimal path-selection model for structural program testing. Journal of Systems and Software. 10(1). 55–63. 19 indexed citations
8.
Horst, Charles M. van der, J.-C. Lin, Nancy Raab‐Traub, M C Smith, & J S Pagano. (1987). Differential effects of acyclovir and 9-(1,3-dihydroxy-2-propoxymethyl)guanine on herpes simplex virus and Epstein-Barr virus in a dually infected human lymphoblastoid cell line. Journal of Virology. 61(2). 607–610. 5 indexed citations
10.
Cheng, Ying‐Chih, Eng‐Shang Huang, J.-C. Lin, et al.. (1983). Unique spectrum of activity of 9-[(1,3-dihydroxy-2-propoxy)methyl]-guanine against herpesviruses in vitro and its mode of action against herpes simplex virus type 1.. Proceedings of the National Academy of Sciences. 80(9). 2767–2770. 218 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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