Chen-Ching Lin

744 citations
18 papers · 555 indexed · h-index 14
Topics
Bioinformatics and Genomic Networks (8 papers)MicroRNA in disease regulation (7 papers)RNA Research and Splicing (7 papers)
Partner nations
TaiwanUnited StatesJapan

In The Last Decade

Chen-Ching Lin

18 papers receiving 549 citations

Peers

Chen-Ching Lin
Comparison fields: 5 of 83
  • Molecular Biology 461
  • Cancer Research 206
  • Computational Theory and Mathematics 68
  • Genetics 40
  • Pulmonary and Respiratory Medicine 34
Replace Marina Bessarabova with:
Marina Bessarabova United States
Nora Rauch Ireland
Annalisa Marsico Germany
Binsheng Gong United States
Laurent Winckers Netherlands
Hung-I Harry Chen United States
Andrew Tikhonov United Kingdom
Yihong Yu China
Gregory Ryslik United States
Geetika Sethi United States
Chen-Ching Lin relative to Marina Bessarabova United States Marina Bessarabova's profile →
Citations per field
00.5×1.5×
Marina Bessarabova · 1×
Citations per year

Countries citing papers authored by Chen-Ching Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chen-Ching Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen-Ching Lin

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

All Works

18 of 18 papers shown
#WorkIndexed citations
1 1
2 13
3 3
4 19
5 9
6 33
7 46
8 21
9 62
10 20
11 30
12 4
13 56
14 33
15 46
16 39
17 95
18 25

About Chen-Ching Lin

Chen-Ching Lin is a scholar working on Cancer Research, Molecular Biology and Cell Biology, having authored 18 papers that have together received 555 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), MicroRNA in disease regulation (7 papers) and RNA Research and Splicing (7 papers). The work is most often cited by research in Cancer Research (206 citations), Molecular Biology (461 citations) and Computational Theory and Mathematics (68 citations). Chen-Ching Lin has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Hsuan‐Cheng Huang, Hsueh‐Fen Juan, Zhongming Zhao, Feixiong Cheng, Yen-Jen Oyang, Ramkrishna Mitra, Hirotada Mori, Quan Wang, Wen‐Hsiung Li and Jen-Tsung Hsiang. Their work appears in journals such as Bioinformatics, The Journal of Immunology and Scientific Reports.

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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