Chun‐Hung Lin

6.4k citations
177 papers · 5.2k · h-index 40

Impact in

Papers in

    • Carbohydrate Chemistry and Synthesis 41
    • Glycosylation and Glycoproteins Research 46
    • Biochemical and Molecular Research 10
    • Enzyme Catalysis and Immobilization 8

Chun‐Hung Lin

173 papers receiving 5.0k citations

Peers

Chun‐Hung Lin
Comparison fields: 5 of 179
  • Immunology 881
  • Organic Chemistry 1.2k
  • Molecular Biology 2.5k
  • Biotechnology 222
  • Infectious Diseases 455
Replace Mark S. Baker with:
Mark S. Baker Australia
Qiang Chen China
Léonardo Scapozza Switzerland
Asher Mullard Canada
Yoshio Hayashi Japan
Ping Chen China
Rubem F. S. Menna‐Barreto Brazil
Hongtao Zhang China
Jacques Piette Belgium
Chien‐Chen Lai Taiwan
Chun‐Hung Lin relative to Mark S. Baker Australia Mark S. Baker's profile →
Citations per field
00.5×2×3×3.6×
Mark S. Baker · 1×
Citations per year

Countries citing papers authored by Chun‐Hung Lin

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Hung Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chun‐Hung 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 Chun‐Hung Lin Line = papers co-authored together Chun‐Hung Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 177 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005240
2 1998224
3 2019190
4 2008159
5 2004147
6 2006144
7 2013133
8 2007121
9 2005116
10 2003115
11 200095
12 201889
13 200585
14 201685
15 201382
16 200778
17 200877
18 201376
19 200569
20 200969

About Chun‐Hung Lin

Chun‐Hung Lin is a scholar working on Organic Chemistry, Molecular Biology, Immunology, Oncology and Biotechnology, having authored 177 papers that have together received 5.2k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (46 papers), Carbohydrate Chemistry and Synthesis (41 papers), Galectins and Cancer Biology (23 papers), Helicobacter pylori-related gastroenterology studies (11 papers), Biochemical and Molecular Research (10 papers), Peptidase Inhibition and Analysis (9 papers), Enzyme Catalysis and Immobilization (8 papers) and Enzyme Structure and Function (8 papers). The work is most often cited by research in Immunology (881 citations), Organic Chemistry (1.2k citations), Molecular Biology (2.5k citations), Biotechnology (222 citations) and Infectious Diseases (455 citations). Chun‐Hung Lin has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Chi‐Huey Wong, Zhijay Tu, Chuan‐Fa Chang, Hsien‐Ya Lin, Fu‐Tong Liu, Yunung Nina Lin, Christopher T. Walsh, Chung‐Yi Wu, Wen‐Bin Yang and Marvin D. Berman. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Angewandte Chemie International Edition, Biochemistry and The Journal of Organic Chemistry.

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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