Chun‐Hung Lin

6.2k citations
178 papers · 4.9k · h-index 38

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 48
    • Biochemical and Molecular Research 10
    • Enzyme Catalysis and Immobilization 9
    • Carbohydrate Chemistry and Synthesis 43

Chun‐Hung Lin

174 papers receiving 4.8k citations

Peers

Chun‐Hung Lin
Comparison fields: 5 of 178
  • Immunology 842
  • Organic Chemistry 1.1k
  • Molecular Biology 2.4k
  • Infectious Diseases 436
  • Biotechnology 201
Replace Asher Mullard with:
Asher Mullard Canada
Fumiyoshi Yamashita Japan
Léonardo Scapozza Switzerland
Yoshio Hayashi Japan
Jacques Piette Belgium
Haitao Li China
Lucia Altucci Italy
Qiang Chen China
Peter Kirkpatrick United States
Hongtao Zhang China
Chun‐Hung Lin relative to Asher Mullard Canada Asher Mullard's profile →
Citations per field
00.5×1.6×
Asher Mullard · 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 178 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005232
2 1998218
3 2019175
4 2008157
5 2004144
6 2006140
7 2013120
8 2007112
9 2005111
10 2003102
11 200085
12 201880
13 201680
14 201378
15 200577
16 201373
17 200773
18 200872
19 200568
20 200967

About Chun‐Hung Lin

Chun‐Hung Lin is a scholar working on Molecular Biology, Organic Chemistry, Immunology, Materials Chemistry and Surgery, having authored 178 papers that have together received 4.9k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (48 papers), Carbohydrate Chemistry and Synthesis (43 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 (9 papers) and Enzyme Structure and Function (8 papers). The work is most often cited by research in Immunology (842 citations), Organic Chemistry (1.1k citations), Molecular Biology (2.4k citations), Infectious Diseases (436 citations) and Biotechnology (201 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, Subhash C. Kukreja and Eva V. Chomka. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Biochemistry, Angewandte Chemie International Edition 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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