Jung-Eun Shin

629 total citations · 1 hit paper
7 papers, 352 citations indexed

About

Jung-Eun Shin is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Jung-Eun Shin has authored 7 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Ecology. Recurrent topics in Jung-Eun Shin's work include Bacteriophages and microbial interactions (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Bacterial Genetics and Biotechnology (2 papers). Jung-Eun Shin is often cited by papers focused on Bacteriophages and microbial interactions (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Bacterial Genetics and Biotechnology (2 papers). Jung-Eun Shin collaborates with scholars based in United States. Jung-Eun Shin's 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 and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Chemical Biology.

In The Last Decade

Jung-Eun Shin

7 papers receiving 346 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Protein design and variant prediction using autoregressive generative models

2021 195 citations Jung-Eun Shin, Adam J. Riesselman et al. Nature Communications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jung-Eun Shin United States	6	307	124	51	26	25	7	352
Christophe Deprez Canada	9	245 0.8×	119 1.0×	54 1.1×	24 0.9×	15 0.6×	13	333
Varun R. Shanker United States	4	216 0.7×	102 0.8×	14 0.3×	34 1.3×	17 0.7×	5	285
Emily E. Wrenbeck United States	6	374 1.2×	51 0.4×	94 1.8×	14 0.5×	36 1.4×	7	430
Anurag Khetan United States	11	392 1.3×	107 0.9×	69 1.4×	16 0.6×	45 1.8×	33	457
Anne Zemella Germany	9	374 1.2×	104 0.8×	55 1.1×	28 1.1×	66 2.6×	30	458
Gideon Lapidoth Israel	7	220 0.7×	154 1.2×	10 0.2×	42 1.6×	31 1.2×	7	264
Violaine Moreau France	11	255 0.8×	156 1.3×	54 1.1×	61 2.3×	9 0.4×	17	321
Ran Zichel Israel	12	174 0.6×	42 0.3×	26 0.5×	50 1.9×	15 0.6×	36	399
Joseph M. Taft Switzerland	6	215 0.7×	69 0.6×	27 0.5×	15 0.6×	24 1.0×	10	275
Christian Kaisermayer Austria	10	288 0.9×	98 0.8×	56 1.1×	21 0.8×	43 1.7×	19	346

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

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Shin, Jung-Eun, Meredith A. Skiba, Alon Wellner, et al.. (2022). An in silico method to assess antibody fragment polyreactivity. Nature Communications. 13(1). 7554–7554. 28 indexed citations

2.

Wellner, Alon, Conor McMahon, Morgan S. A. Gilman, et al.. (2021). Rapid generation of potent antibodies by autonomous hypermutation in yeast. Nature Chemical Biology. 17(10). 1057–1064. 77 indexed citations

3.

Shin, Jung-Eun, Adam J. Riesselman, Aaron W. Kollasch, et al.. (2021). Protein design and variant prediction using autoregressive generative models. Nature Communications. 12(1). 2403–2403. 195 indexed citations breakdown →

4.

Shin, Jung-Eun, Adam J. Riesselman, & Aaron W. Kollasch. (2021). debbiemarkslab/SeqDesign: SeqDesign public code, data. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

5.

Shin, Jung-Eun, et al.. (2016). Horizontal transfer of DNA methylation patterns into bacterial chromosomes. Nucleic Acids Research. 44(9). 4460–4471. 19 indexed citations

6.

Sagawa, Shiori, Jung-Eun Shin, Razika Hussein, & ‬Hong Ngee Lim. (2015). Paradoxical suppression of small RNA activity at high Hfq concentrations due to random-order binding. Nucleic Acids Research. 43(17). 8502–8515. 16 indexed citations

7.

Hung, Michelle, Razika Hussein, Katya Frazier, et al.. (2014). Modulating the frequency and bias of stochastic switching to control phenotypic variation. Nature Communications. 5(1). 4574–4574. 16 indexed citations

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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