Cliff Ji‐Fan Lin

545 total citations
10 papers, 461 citations indexed

About

Cliff Ji‐Fan Lin is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Cliff Ji‐Fan Lin has authored 10 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Physiology and 3 papers in Cancer Research. Recurrent topics in Cliff Ji‐Fan Lin's work include Muscle Physiology and Disorders (3 papers), MicroRNA in disease regulation (3 papers) and Animal Genetics and Reproduction (2 papers). Cliff Ji‐Fan Lin is often cited by papers focused on Muscle Physiology and Disorders (3 papers), MicroRNA in disease regulation (3 papers) and Animal Genetics and Reproduction (2 papers). Cliff Ji‐Fan Lin collaborates with scholars based in Taiwan, United States and China. Cliff Ji‐Fan Lin's co-authors include Jen‐Leih Wu, Hong‐Yi Gong, Weilun Wang, Ching‐Feng Weng, Thomas T. Chen, Mark Hung‐Chih Chen, Yi‐Hsuan Chen, Guor Mour Her, Ching‐Yi Cheng and Pung‐Pung Hwang and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Gene and Biochimica et Biophysica Acta (BBA) - General Subjects.

In The Last Decade

Cliff Ji‐Fan Lin

9 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cliff Ji‐Fan Lin Taiwan 8 327 200 82 75 59 10 461
Bhaja K. Padhi Canada 10 341 1.0× 72 0.4× 31 0.4× 105 1.4× 40 0.7× 23 511
Huiwen He China 8 286 0.9× 235 1.2× 51 0.6× 17 0.2× 107 1.8× 10 440
David Corrigan United States 6 228 0.7× 73 0.4× 49 0.6× 24 0.3× 112 1.9× 8 467
Cécile Rallière France 7 206 0.6× 20 0.1× 109 1.3× 112 1.5× 78 1.3× 9 371
V. M. Kavsan Ukraine 11 173 0.5× 50 0.3× 14 0.2× 63 0.8× 33 0.6× 25 310
Vanesa Jiménez-Amilburu Germany 11 254 0.8× 30 0.1× 141 1.7× 88 1.2× 55 0.9× 12 475
Shan Quah Singapore 10 186 0.6× 111 0.6× 16 0.2× 29 0.4× 38 0.6× 12 312
Vivia C.-T. Liang United States 7 185 0.6× 113 0.6× 15 0.2× 136 1.8× 34 0.6× 7 412
Utkrisht Rajkumar India 8 368 1.1× 305 1.5× 56 0.7× 49 0.7× 16 0.3× 21 600

Countries citing papers authored by Cliff Ji‐Fan Lin

Since Specialization
Citations

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

Fields of papers citing papers by Cliff Ji‐Fan Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cliff Ji‐Fan 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 Cliff Ji‐Fan Lin. The network helps show where Cliff Ji‐Fan Lin may publish in the future.

Co-authorship network of co-authors of Cliff Ji‐Fan Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Cliff Ji‐Fan Lin. A scholar is included among the top collaborators of Cliff Ji‐Fan 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 Cliff Ji‐Fan Lin. Cliff Ji‐Fan 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.
Lin, Cliff Ji‐Fan, et al.. (2008). miR-122 targets an anti-apoptotic gene, Bcl-w, in human hepatocellular carcinoma cell lines. Biochemical and Biophysical Research Communications. 375(3). 315–320. 220 indexed citations
2.
Lin, Cliff Ji‐Fan, Yi‐Hsuan Chen, Weilun Wang, et al.. (2008). Overexpression of Myostatin2 in zebrafish reduces the expression of dystrophin associated protein complex (DAPC) which leads to muscle dystrophy. Journal of Biomedical Science. 15(5). 595–604. 16 indexed citations
5.
Gong, Hong‐Yi, et al.. (2004). Response to acute changes in salinity of two different muscle type creatine kinase isoforms, from euryhaline teleost (Oreochromis mossambicus) gills. Biochimica et Biophysica Acta (BBA) - General Subjects. 1675(1-3). 184–191. 8 indexed citations
6.
Gong, Hong‐Yi, Cliff Ji‐Fan Lin, Mark Hung‐Chih Chen, et al.. (2004). Two distinct teleost hepatocyte nuclear factor 1 genes, hnf1α/tcf1 and hnf1β/tcf2, abundantly expressed in liver, pancreas, gut and kidney of zebrafish. Gene. 338(1). 35–46. 16 indexed citations
7.
Lin, Cliff Ji‐Fan, Yi‐Hsuan Chen, Hong‐Yi Gong, et al.. (2004). Up‐regulation of muscle‐specific transcription factors during embryonic somitogenesis of zebrafish (Danio rerio) by knock‐down of myostatin‐1. Developmental Dynamics. 229(4). 847–856. 102 indexed citations
8.
Weng, Ching‐Feng, Hong‐Yi Gong, Mark Hung‐Chih Chen, et al.. (2002). Acute Changes in Gill Na+‐K+‐ATPase and Creatine Kinase in Response to Salinity Changes in the Euryhaline Teleost, Tilapia (Oreochromis mossambicus). Physiological and Biochemical Zoology. 75(1). 29–36. 70 indexed citations
9.
Chen, Jyh‐Yih, Bei‐En Chang, Yi‐Hsuan Chen, et al.. (2001). Molecular Cloning, Developmental Expression, and Hormonal Regulation of Zebrafish (Danio rerio) β Crystallin B1, a Member of the Superfamily of β Crystallin Proteins. Biochemical and Biophysical Research Communications. 285(1). 105–110. 14 indexed citations
10.
Gong, Hong‐Yi, et al.. (2001). Hepatocyte Nuclear Factors-1α, -1β, and -3β Expressed in the Gonad of Tilapia (Oreochromis mossambicus). Biochemical and Biophysical Research Communications. 288(4). 833–840. 7 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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