Dong Hae Shin

3.9k citations
96 papers · 3.1k indexed · 2 hit papers · h-index 26
Topics
Enzyme Structure and Function (26 papers)Protein Structure and Dynamics (13 papers)RNA and protein synthesis mechanisms (11 papers)

In The Last Decade

Dong Hae Shin

90 papers receiving 3.1k citations

Hit Papers

Inhibition of SARS-CoV 3CL protease b...201020262015202020192010100200300400500

Peers

Dong Hae Shin
Comparison fields: 5 of 134
  • Molecular Biology 1.8k
  • Computational Theory and Mathematics 401
  • Infectious Diseases 329
  • Plant Science 284
  • Immunology 267
Replace Hsing‐Pang Hsieh with:
Hsing‐Pang Hsieh Taiwan
Diogo Santos‐Martins United States
Sun Choi South Korea
Remo Perozzo Switzerland
Yu‐Sheng Chao Taiwan
Dharmendra Kumar Yadav India
SubbaRao V. Madhunapantula India
Stanislav Gobec Slovenia
Rino Ragno Italy
Sang‐Hun Jung South Korea
Dong Hae Shin relative to Hsing‐Pang Hsieh Taiwan Hsing‐Pang Hsieh's profile →
Citations per field
00.5×1.7×
Hsing‐Pang Hsieh · 1×
Citations per year

Countries citing papers authored by Dong Hae Shin

Since Specialization
Citations

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

Fields of papers citing papers by Dong Hae Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dong Hae Shin. 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 Dong Hae Shin. The network helps show where Dong Hae Shin may publish in the future.

Co-authorship network of co-authors of Dong Hae Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Dong Hae Shin. A scholar is included among the top collaborators of Dong Hae Shin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dong Hae Shin. Dong Hae Shin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 16
3 0
4 7
5 15
6 2
7 16
8 18
9 2
10 12
11 1
12 1
13 7
14 32
15 12
16 64
17 12
18 290
19
A Newer Short Synthesis of dl-Muscone(I)
1
20 43

About Dong Hae Shin

Dong Hae Shin is a scholar working on Molecular Biology, Materials Chemistry and Biochemistry, having authored 96 papers that have together received 3.1k indexed citations. Recurring topics across this work include Enzyme Structure and Function (26 papers), Protein Structure and Dynamics (13 papers) and RNA and protein synthesis mechanisms (11 papers). The work is most often cited by research in Pharmacology (246 citations), Molecular Biology (1.8k citations) and Computational Theory and Mathematics (401 citations). Dong Hae Shin has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Suwon Kim, Seri Jo, Mi Sun Kim, Se Won Suh, Kwang Yeon Hwang, Dae‐Yeul Yu, Sue Goo Rhee, Dongmin Kang, Hyun Ae Woo and Sun Hee Yim. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological 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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