Minseung Kim

574 total citations
16 papers, 394 citations indexed

About

Minseung Kim is a scholar working on Molecular Biology, Genetics and General Economics, Econometrics and Finance. According to data from OpenAlex, Minseung Kim has authored 16 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Genetics and 2 papers in General Economics, Econometrics and Finance. Recurrent topics in Minseung Kim's work include Evolution and Genetic Dynamics (4 papers), Genomics and Phylogenetic Studies (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Minseung Kim is often cited by papers focused on Evolution and Genetic Dynamics (4 papers), Genomics and Phylogenetic Studies (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). Minseung Kim collaborates with scholars based in United States, South Korea and United Kingdom. Minseung Kim's co-authors include Ilias Tagkopoulos, Violeta Zorraquino, Navneet Rai, Harold H. Schmitz, Ki‐Jo Kim, Iannis E. Adamopoulos, Beatriz Merchel Piovesan Pereira, Xiaokang Wang, Αθανάσιος Τσουκαλάς and James Kennedy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and International Journal of Molecular Sciences.

In The Last Decade

Minseung Kim

15 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minseung Kim United States 10 260 73 41 25 25 16 394
Stefan Weiß Germany 11 154 0.6× 68 0.9× 8 0.2× 11 0.4× 16 0.6× 27 363
Martin Pearce United Kingdom 8 154 0.6× 60 0.8× 19 0.5× 25 1.0× 11 0.4× 15 308
Magali Berland France 9 153 0.6× 16 0.2× 15 0.4× 7 0.3× 24 1.0× 13 216
Vidya Iyer United States 12 258 1.0× 23 0.3× 53 1.3× 7 0.3× 17 0.7× 23 681
Cecilia Engel Thomas France 10 258 1.0× 65 0.9× 6 0.1× 14 0.6× 25 1.0× 17 618
Yi-Chien Chang United States 9 406 1.6× 50 0.7× 19 0.5× 29 1.2× 12 0.5× 12 684
Lokesh P. Tripathi Japan 15 437 1.7× 47 0.6× 6 0.1× 10 0.4× 10 0.4× 23 625
Magali Jaillard France 10 292 1.1× 57 0.8× 14 0.3× 22 0.9× 4 0.2× 14 456
Kailash Singh Hong Kong 14 170 0.7× 25 0.3× 8 0.2× 14 0.6× 4 0.2× 30 472
Harry Scholes United Kingdom 8 379 1.5× 25 0.3× 9 0.2× 37 1.5× 24 1.0× 9 543

Countries citing papers authored by Minseung Kim

Since Specialization
Citations

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

Fields of papers citing papers by Minseung Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minseung Kim. 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 Minseung Kim. The network helps show where Minseung Kim may publish in the future.

Co-authorship network of co-authors of Minseung Kim

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

All Works

16 of 16 papers shown
1.
Rai, Navneet, Minseung Kim, & Ilias Tagkopoulos. (2022). Understanding the Formation and Mechanism of Anticipatory Responses in Escherichia coli. International Journal of Molecular Sciences. 23(11). 5985–5985. 1 indexed citations
2.
Kim, Minseung, et al.. (2021). The Macroeconomic Consequences of Stimulating Offline Consumption during COVID-19. Global Economic Review. 50(1). 20–42. 4 indexed citations
3.
Rai, Navneet, et al.. (2020). The Computational Diet: A Review of Computational Methods Across Diet, Microbiome, and Health. Frontiers in Microbiology. 11. 393–393. 33 indexed citations
4.
Kim, Minseung, et al.. (2020). Identification of Differential, Health-Related Compounds in Chardonnay Marc through Network-Based Meta-Analysis. Current Developments in Nutrition. 4. nzaa045_108–nzaa045_108. 2 indexed citations
5.
Kim, Minseung, et al.. (2020). Variable Effort, Business Cycles, and Economic Welfare. Economics Letters. 196. 109544–109544. 2 indexed citations
6.
Kim, Minseung, et al.. (2019). Effects of Uncertainty Shock on South Korea: A Regional Analysis. 26(2). 409–438.
7.
Tagkopoulos, Ilias, Minseung Kim, James Kennedy, et al.. (2019). Predicting early risk of chronic kidney disease in cats using routine clinical laboratory tests and machine learning. Journal of Veterinary Internal Medicine. 33(6). 2644–2656. 37 indexed citations
8.
Kim, Ki‐Jo, Minseung Kim, Iannis E. Adamopoulos, & Ilias Tagkopoulos. (2019). Compendium of synovial signatures identifies pathologic characteristics for predicting treatment response in rheumatoid arthritis patients. Clinical Immunology. 202. 1–10. 25 indexed citations
9.
Wang, Xiaokang, Violeta Zorraquino, Minseung Kim, Αθανάσιος Τσουκαλάς, & Ilias Tagkopoulos. (2018). Predicting the evolution of Escherichia coli by a data-driven approach. Nature Communications. 9(1). 3562–3562. 23 indexed citations
10.
Rai, Navneet, Linh Huynh, Minseung Kim, & Ilias Tagkopoulos. (2018). Population collapse and adaptive rescue during long‐term chemostat fermentation. Biotechnology and Bioengineering. 116(3). 693–703. 10 indexed citations
11.
Kim, Minseung, et al.. (2017). DeepPep: Deep proteome inference from peptide profiles. PLoS Computational Biology. 13(9). e1005661–e1005661. 21 indexed citations
12.
Kim, Minseung & Ilias Tagkopoulos. (2017). Data integration and predictive modeling methods for multi-omics datasets. Molecular Omics. 14(1). 8–25. 67 indexed citations
13.
Kim, Minseung, Navneet Rai, Violeta Zorraquino, & Ilias Tagkopoulos. (2016). Multi-omics integration accurately predicts cellular state in unexplored conditions for Escherichia coli. Nature Communications. 7(1). 13090–13090. 114 indexed citations
14.
Zorraquino, Violeta, Minseung Kim, Navneet Rai, & Ilias Tagkopoulos. (2016). The genetic and transcriptional basis of short and long term adaptation across multiple stresses in Escherichia coli. Molecular Biology and Evolution. 34(3). msw269–msw269. 26 indexed citations
15.
Kim, Minseung, Violeta Zorraquino, & Ilias Tagkopoulos. (2015). Microbial Forensics: Predicting Phenotypic Characteristics and Environmental Conditions from Large-Scale Gene Expression Profiles. PLoS Computational Biology. 11(3). e1004127–e1004127. 22 indexed citations
16.
Kim, Minseung & Sung‐Hou Kim. (2014). Empirical prediction of genomic susceptibilities for multiple cancer classes. Proceedings of the National Academy of Sciences. 111(5). 1921–1926. 7 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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