Jung‐Hsin Lin

3.0k citations
63 papers · 2.6k · h-index 26

Impact in

Papers in

    • Protein Structure and Dynamics 17
    • DNA and Nucleic Acid Chemistry 5
    • Protein Degradation and Inhibitors 4
    • Cancer therapeutics and mechanisms 4
    • Lipid Membrane Structure and Behavior 4
    • Computational Drug Discovery Methods 14

Jung‐Hsin Lin

63 papers receiving 2.5k citations

Peers

Jung‐Hsin Lin
Comparison fields: 5 of 122
  • Virology 221
  • Computational Theory and Mathematics 663
  • Molecular Biology 1.7k
  • Infectious Diseases 267
  • Pharmacology 98
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Friedrich Rippmann Germany
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Chaya S. Rapp United States
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Citations per field
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Citations per year

Countries citing papers authored by Jung‐Hsin Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jung‐Hsin Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002342
2 2004207
3 2008161
4 2002151
5 2012146
6 2007145
7 200597
8 200093
9 200583
10 201577
11 201175
12 201173
13 200264
14 201364
15 201157
16 201853
17 200648
18 201147
19 201344
20 199038

About Jung‐Hsin Lin

Jung‐Hsin Lin is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Cellular and Molecular Neuroscience and Materials Chemistry, having authored 63 papers that have together received 2.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (17 papers), Computational Drug Discovery Methods (14 papers), Enzyme Structure and Function (5 papers), DNA and Nucleic Acid Chemistry (5 papers), Protein Degradation and Inhibitors (4 papers), HIV/AIDS drug development and treatment (4 papers), Cancer therapeutics and mechanisms (4 papers) and Lipid Membrane Structure and Behavior (4 papers). The work is most often cited by research in Virology (221 citations), Computational Theory and Mathematics (663 citations), Molecular Biology (1.7k citations), Infectious Diseases (267 citations) and Pharmacology (98 citations). Jung‐Hsin Lin has collaborated with scholars based in Taiwan, United States and France. Frequent co-authors include J. Andrew McCammon, Alexander L. Perryman, A. Baumgærtner, Chung‐Ming Chen, Ching‐Chow Chen, Yen‐Jen Oyang, Darby Tien-Hao Chang, Arthur J. Olson, Shu-Hao Yeh and Chia‐Wei Chou. Their work appears in journals such as Nucleic Acids Research, Current Topics in Medicinal Chemistry, Biophysical Journal, Protein Science and Biopolymers.

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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