Min-Guan Lin
Impact in
- Biochemistry top 10%
- Amino Acid Enzymes and Metabolism
-
- Polyamine Metabolism and Applications
- Biopolymer Synthesis and Applications
- Enzyme Catalysis and Immobilization
Papers in
-
- Heat shock proteins research 7
- Polyamine Metabolism and Applications 7
- Protein Structure and Dynamics 6
- DNA Repair Mechanisms 5
- Biochemistry 12
- Amino Acid Enzymes and Metabolism 12
- Co-authors
- Long‐Liu Lin (27 shared papers)Meng‐Chun Chi (24 shared papers)Yiyu Chen (7 shared papers)Huei‐Fen Lo (10 shared papers)Chwan‐Deng Hsiao (10 shared papers)Yufen Huang (4 shared papers)Yuh‐Ju Sun (5 shared papers)C. K. Chu (3 shared papers)
- Journals
- International Journal of Biological Macromolecules (7 papers)Nucleic Acids Research (4 papers)Biocatalysis and Agricultural Biotechnology (3 papers)The Protein Journal (2 papers)Catalysts (2 papers)
- Partner nations
- TaiwanUnited Kingdom
In The Last Decade
Min-Guan Lin
38 papers receiving 343 citations
Peers
Comparison fields: 5 of 67
- Biochemistry 80
- Molecular Biology 252
- Molecular Medicine 16
- Biotechnology 26
- Cell Biology 33
Countries citing papers authored by Min-Guan Lin
This map shows the geographic impact of Min-Guan 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 Min-Guan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min-Guan Lin more than expected).
Fields of papers citing papers by Min-Guan Lin
This network shows the impact of papers produced by Min-Guan 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 Min-Guan Lin. The network helps show where Min-Guan Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Min-Guan Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 32 | |
| 2 | 2014 | 28 | |
| 3 | 2014 | 24 | |
| 4 | 2020 | 23 | |
| 5 | 2019 | 18 | |
| 6 | 2018 | 18 | |
| 7 | 2018 | 17 | |
| 8 | 2015 | 15 | |
| 9 | 2016 | 13 | |
| 10 | 2017 | 13 | |
| 11 | 2019 | 13 | |
| 12 | 2021 | 12 | |
| 13 | 2017 | 12 | |
| 14 | 2021 | 11 | |
| 15 | 2022 | 9 | |
| 16 | 2009 | 8 | |
| 17 | 2020 | 8 | |
| 18 | 2009 | 7 | |
| 19 | 2017 | 7 | |
| 20 | 2015 | 6 |
About Min-Guan Lin
Min-Guan Lin is a scholar working on Molecular Biology, Biochemistry, Materials Chemistry, Genetics and Oncology, having authored 38 papers that have together received 345 indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (12 papers), Enzyme Structure and Function (11 papers), Bacterial Genetics and Biotechnology (7 papers), Heat shock proteins research (7 papers), Polyamine Metabolism and Applications (7 papers), Protein Structure and Dynamics (6 papers), Peptidase Inhibition and Analysis (5 papers) and DNA Repair Mechanisms (5 papers). The work is most often cited by research in Biochemistry (80 citations), Molecular Biology (252 citations), Molecular Medicine (16 citations), Biotechnology (26 citations) and Cell Biology (33 citations). Min-Guan Lin has collaborated with scholars based in Taiwan and United Kingdom. Frequent co-authors include Long‐Liu Lin, Meng‐Chun Chi, Yiyu Chen, Huei‐Fen Lo, Chwan‐Deng Hsiao, Yufen Huang, Yuh‐Ju Sun, C. K. Chu, Tzong‐Yuan Juang and Yi-Ching Li. Their work appears in journals such as International Journal of Biological Macromolecules, Nucleic Acids Research, Biocatalysis and Agricultural Biotechnology, The Protein Journal and Catalysts.
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.