Jung-Eun Shin

629 citations
7 papers · 352 indexed · 1 hit paper · h-index 6
Topics
Bacteriophages and microbial interactions (2 papers)Monoclonal and Polyclonal Antibodies Research (2 papers)Bacterial Genetics and Biotechnology (2 papers)
Partner nations
United States

In The Last Decade

Jung-Eun Shin

7 papers receiving 346 citations

Hit Papers

Protein design and variant prediction using autoregressiv...2021202620222024202150100150

Peers

Jung-Eun Shin
Comparison fields: 5 of 51
  • Molecular Biology 307
  • Radiology, Nuclear Medicine and Imaging 124
  • Genetics 51
  • Immunology 26
  • Biotechnology 25
Replace Christian Kaisermayer with:
Christian Kaisermayer Austria
Paul M. Hayter United Kingdom
Violaine Moreau France
Anne Zemella Germany
Varun R. Shanker United States
Christophe Deprez Canada
Anurag Khetan United States
Yuzhou Fan Denmark
Ran Zichel Israel
Stefano Bonissone United States
Jung-Eun Shin relative to Christian Kaisermayer Austria Christian Kaisermayer's profile →
Citations per field
00.5×1.5×2.5×
Christian Kaisermayer · 1×
Citations per year

Countries citing papers authored by Jung-Eun Shin

Since Specialization
Citations

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

Fields of papers citing papers by Jung-Eun Shin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jung-Eun 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 Jung-Eun Shin. The network helps show where Jung-Eun Shin may publish in the future.

Co-authorship network of co-authors of Jung-Eun Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Jung-Eun Shin. A scholar is included among the top collaborators of Jung-Eun 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 Jung-Eun Shin. Jung-Eun Shin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 28
2 77
3
Protein design and variant prediction using autoregressive generative modelsbreakdown →
195
4 1
5 19
6 16
7 16

About Jung-Eun Shin

Jung-Eun Shin is a scholar working on Biotechnology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 352 indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (124 citations), Molecular Biology (307 citations) and Biotechnology (25 citations). Jung-Eun Shin has collaborated with scholars based in United States. Frequent co-authors include Debora S. Marks, Andrew C. Kruse, Conor McMahon, Aaron W. Kollasch, Aashish Manglik, Chris Sander, Elana P. Simon, Adam J. Riesselman, Han N. Lim and Alon Wellner. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Nature Chemical Biology.

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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