Seok-Hwan Yoon

5.9k total citations · 3 hit papers
17 papers, 4.4k citations indexed

About

Seok-Hwan Yoon is a scholar working on Molecular Biology, Food Science and Ecology. According to data from OpenAlex, Seok-Hwan Yoon has authored 17 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Food Science and 3 papers in Ecology. Recurrent topics in Seok-Hwan Yoon's work include Genomics and Phylogenetic Studies (5 papers), Microbial Community Ecology and Physiology (3 papers) and Probiotics and Fermented Foods (3 papers). Seok-Hwan Yoon is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Microbial Community Ecology and Physiology (3 papers) and Probiotics and Fermented Foods (3 papers). Seok-Hwan Yoon collaborates with scholars based in South Korea, Sweden and Chile. Seok-Hwan Yoon's co-authors include Jongsik Chun, Sung Min Ha, Soon‐Jae Kwon, Inwoo Baek, Mauricio Chalita, Imchang Lee, Carl E. Cerniglia, Jong Nam Kim, Bong Soo Kim and Keum Jin Baek and has published in prestigious journals such as Scientific Reports, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY and Metabolic Engineering.

In The Last Decade

Seok-Hwan Yoon

17 papers receiving 4.4k 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.

A large-scale evaluation of algorithms to calculate average nucleotide identity

2017 2.6k citations Seok-Hwan Yoon, Sung Min Ha et al. Antonie van Leeuwenhoek profile →
UBCG: Up-to-date bacterial core gene set and pipeline for phylogenomic tree reconstruction

2018 1.1k citations Seok-Hwan Yoon, Sung Min Ha et al. The Journal of Microbiology profile →
ContEst16S: an algorithm that identifies contaminated prokaryotic genomes using 16S RNA gene sequences

2017 415 citations Imchang Lee, Mauricio Chalita et al. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY profile →

Peers

Countries citing papers authored by Seok-Hwan Yoon

Since Specialization

Citations

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

Fields of papers citing papers by Seok-Hwan Yoon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Seok-Hwan Yoon. 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 Seok-Hwan Yoon. The network helps show where Seok-Hwan Yoon may publish in the future.

Co-authorship network of co-authors of Seok-Hwan Yoon

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

All Works

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17 of 17 papers shown

#	Work	Indexed citations
1	Efficient production of retinol in Yarrowia lipolytica by increasing stability using antioxidant and detergent extraction 2022 ·Metabolic Engineering ·Hye-Min Park, (unknown), (unknown), (unknown), (unknown), Cheol Woong Ha, (unknown), Seok-Hwan Yoon, (unknown), Peter P. Lee, Ji‐Sook Hahn	38
2	Complete Multipartite Genome Sequence of the Cupriavidus basilensis Type Strain, a 2,6-Dichlorophenol-Degrading Bacterium 2021 ·Microbiology Resource Announcements ·Francisco Salvà‐Serra, Raúl A. Donoso, (unknown), (unknown), Kihyun Lee, Seok-Hwan Yoon, (unknown), Edward R. B. Moore, Danilo Pérez‐Pantoja	2
3	Isolation and Identification of Non-Conjugated Linoleic Acid from Processed Panax ginseng Using LC-MS/MS and 1H-NMR 2021 ·Separations ·Tae‐Kyung Kim, Chang-Suck Lee, (unknown), (unknown), (unknown), (unknown), (unknown), Seok-Hwan Yoon, Jaeho Jeong	2
4	Emotional well-being and gut microbiome profiles by enterotype 2020 ·Scientific Reports ·Sung‐Ha Lee, Seok-Hwan Yoon, Yeonjae Jung, Namil Kim, Ui-Gi Min, Jongsik Chun, Incheol Choi	50
5	Improved Metagenomic Taxonomic Profiling Using a Curated Core Gene-Based Bacterial Database Reveals Unrecognized Species in the Genus Streptococcus 2020 ·Pathogens ·Mauricio Chalita, Sung Min Ha, (unknown), Hyun‐Seok Oh, Seok-Hwan Yoon, Jongsik Chun	19
6	Comparative Genomic Analysis of the 2016 Vibrio cholerae Outbreak in South Korea 2019 ·Frontiers in Public Health ·Sung Min Ha, Mauricio Chalita, Seung‐Jo Yang, Seok-Hwan Yoon, (unknown), (unknown), Sahyun Hong, Junyoung Kim, Hyo‐Sun Kwak, Jongsik Chun	9
7	A Decision-making Support Strategy to Strengthen Korea’s Local Adaptation Planning toward a Pathways Approach 2019 ·Journal of Climate Change Research ·(unknown), Jiyeon Kim, Seok-Hwan Yoon, Chae Yeon Park, Huicheul Jung, Tae Yong Jung, Dong Kun Lee	5
8	UBCG: Up-to-date bacterial core gene set and pipeline for phylogenomic tree reconstruction breakdown → 2018 ·The Journal of Microbiology ·(unknown), (unknown), Seok-Hwan Yoon, Sung Min Ha, Inwoo Baek, Jongsik Chun	1052
9	A large-scale evaluation of algorithms to calculate average nucleotide identity breakdown → 2017 ·Antonie van Leeuwenhoek ·Seok-Hwan Yoon, Sung Min Ha, (unknown), Soon‐Jae Kwon, Jongsik Chun	2615
10	Alignment Solution for CT Image Reconstruction using Fixed Point and Virtual Rotation Axis 2017 ·Scientific Reports ·(unknown), Seok-Hwan Yoon	25
11	ContEst16S: an algorithm that identifies contaminated prokaryotic genomes using 16S RNA gene sequences breakdown → 2017 ·INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY ·Imchang Lee, Mauricio Chalita, Sung Min Ha, (unknown), Seok-Hwan Yoon, Jongsik Chun	415
12	Mucosal and salivary microbiota associated with recurrent aphthous stomatitis 2016 ·BMC Microbiology ·Yunji Kim, Yun Sik Choi, Keum Jin Baek, Seok-Hwan Yoon, Heekyung Park, Youngnim Choi	63
13	An In-Tunnel Traffic Accident Detection Algorithm using CCTV Image Processing 2015 ·KIPS Transactions on Software and Data Engineering ·(unknown), (unknown), (unknown), Seok-Hwan Yoon	1
14	Improving Database System Performance by Applying NoSQL 2014 ·Journal of Information Processing Systems ·(unknown), (unknown), Seok-Hwan Yoon	4
15	An Intelligent Automatic Early Detection System of Forest Fire Smoke Signatures using Gaussian Mixture Model 2013 ·Journal of Information Processing Systems ·Seok-Hwan Yoon, (unknown)	15
16	Impact of enrofloxacin on the human intestinal microbiota revealed by comparative molecular analysis 2012 ·Anaerobe ·Bong Soo Kim, Jong Nam Kim, Seok-Hwan Yoon, Jongsik Chun, Carl E. Cerniglia	75
17	Comparative approach to capture bacterial diversity of coastal waters 2011 ·The Journal of Microbiology ·Hyunsoo Na, Ok-Sun Kim, Seok-Hwan Yoon, (unknown), Jongsik Chun	18

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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