Chung-Ming Lin

1.2k citations
23 papers · 1.0k · h-index 13

Impact in

Papers in

    • Wnt/β-catenin signaling in development and cancer 6
    • Ubiquitin and proteasome pathways 2
    • Tissue Engineering and Regenerative Medicine 2

Chung-Ming Lin

23 papers receiving 984 citations

Peers

Chung-Ming Lin
Comparison fields: 5 of 99
  • Cell Biology 145
  • Developmental Neuroscience 32
  • Molecular Biology 490
  • Geriatrics and Gerontology 19
  • Molecular Medicine 26
Replace Helena L. Borges with:
Helena L. Borges Brazil
María José Lafuente Spain
Jesusa L. Rosales Canada
Jeff Yon United States
Shuyan Lu United States
Woo‐Young Kim South Korea
Eleana Sphicas United States
Jihong Zhang China
Hitoshi Murata Japan
Chung-Ming Lin relative to Helena L. Borges Brazil Helena L. Borges's profile →
Citations per field
00.5×1.5×2.3×
Helena L. Borges · 1×
Citations per year

Countries citing papers authored by Chung-Ming Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chung-Ming Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chung-Ming Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chung-Ming Lin Line = papers co-authored together Chung-Ming Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006156
2 2000134
3 1991117
4 2012100
5 201398
6 200573
7 198863
8 201760
9 201643
10 201333
11 201932
12 201327
13 201913
14 201112
15 200410
16 19969
17 20217
18 20236
19 20253
20 20252

About Chung-Ming Lin

Chung-Ming Lin is a scholar working on Molecular Biology, Surgery, Cell Biology, Organic Chemistry and Computer Networks and Communications, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (6 papers), Ubiquitin and proteasome pathways (2 papers), Cellular Mechanics and Interactions (2 papers), Skin and Cellular Biology Research (2 papers), Toxin Mechanisms and Immunotoxins (2 papers), Medicinal Plant Studies (2 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Cell Biology (145 citations), Developmental Neuroscience (32 citations), Molecular Biology (490 citations), Geriatrics and Gerontology (19 citations) and Molecular Medicine (26 citations). Chung-Ming Lin has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Hui‐Jye Chen, Conrad L. Leung, Ronald K.H. Liem, Michael G. Rosenfeld, Chyuan‐Sheng Lin, Raül Pérez‐Ollé, Gary Stacey, Serry Koh, Tsai-Yun Lin and Yi‐Fang Tsay. Their work appears in journals such as International Journal of Molecular Sciences, International Journal of Oncology, Journal of Animal Science, PLANT PHYSIOLOGY and Proceedings of the National Academy of Sciences.

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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