Jung‐Hsin Lin

3.0k citations
61 papers · 2.4k indexed · h-index 24

Impact in

Papers in

Jung‐Hsin Lin

61 papers receiving 2.3k citations

Peers

Jung‐Hsin Lin
Comparison fields: 5 of 122
  • Virology 223
  • Computational Theory and Mathematics 585
  • Molecular Biology 1.7k
  • Infectious Diseases 258
  • Pharmacology 97
Replace Jennifer L. Knight with:
Jennifer L. Knight United States
T. Dwight McGee United States
Renée L. DesJarlais United States
Friedrich Rippmann Germany
Sandro Cosconati Italy
Vasanthanathan Poongavanam Sweden
Simona Distinto Italy
Chaya S. Rapp United States
Barry J. Grant United States
Kerim Babaoglu United States
Jung‐Hsin Lin relative to Jennifer L. Knight United States Jennifer L. Knight's profile →
Citations per field
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Jennifer L. Knight · 1×
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-authorship network

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
#Work
1 20226
2 202018
3 201852
4 20187
5 20157
6 201512
7 201339
8 20127
9 201015
10 200916
11 2008153
12 200637
13 200619
14 200646
15 200518
16 200594
17 200259
18 20007
19 199911
20 19963

About Jung‐Hsin Lin

Jung‐Hsin Lin is a scholar working on Computational Theory and Mathematics, Virology, Molecular Biology, Computer Graphics and Computer-Aided Design and Physiology, having authored 61 papers that have together received 2.4k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (17 papers), Computational Drug Discovery Methods (15 papers), Enzyme Structure and Function (6 papers), DNA and Nucleic Acid Chemistry (5 papers), Cancer therapeutics and mechanisms (4 papers), HIV/AIDS drug development and treatment (4 papers), HIV Research and Treatment (4 papers) and Lipid Membrane Structure and Behavior (4 papers). The work is most often cited by research in Virology (223 citations), Computational Theory and Mathematics (585 citations), Molecular Biology (1.7k citations), Infectious Diseases (258 citations) and Pharmacology (97 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, Darby Tien-Hao Chang, Yen‐Jen Oyang, Yi-Chu Lin, Chia‐Wei Chou and Arthur J. Olson. Their work appears in journals such as Nucleic Acids Research, Current Topics in Medicinal Chemistry, Protein Science, Biopolymers and Biophysical Journal.

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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