Hana Yi

12.6k total citations · 2 hit papers
112 papers, 10.5k citations indexed

About

Hana Yi is a scholar working on Molecular Biology, Ecology and Biotechnology. According to data from OpenAlex, Hana Yi has authored 112 papers receiving a total of 10.5k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Molecular Biology, 50 papers in Ecology and 12 papers in Biotechnology. Recurrent topics in Hana Yi's work include Genomics and Phylogenetic Studies (66 papers), Microbial Community Ecology and Physiology (42 papers) and Gut microbiota and health (11 papers). Hana Yi is often cited by papers focused on Genomics and Phylogenetic Studies (66 papers), Microbial Community Ecology and Physiology (42 papers) and Gut microbiota and health (11 papers). Hana Yi collaborates with scholars based in South Korea, United States and Japan. Hana Yi's co-authors include Jongsik Chun, Yong‐Joon Cho, Sungho Won, Jae‐Hak Lee, Mincheol Kim, Sang‐Cheol Park, Kihyun Lee, Hyunsoo Na, Sofie E. De Meyer and Milton S. da Costa and has published in prestigious journals such as Nucleic Acids Research, Environmental Science & Technology and Energy & Environmental Science.

In The Last Decade

Hana Yi

110 papers receiving 10.4k citations

Hit Papers

Introducing EzTaxon-e: a prokaryotic 16S rRNA gene sequen... 2011 2026 2016 2021 2011 2018 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hana Yi South Korea 32 7.3k 4.5k 2.0k 1.1k 1.0k 112 10.5k
Brian J. Tindall Germany 59 9.1k 1.2× 6.9k 1.5× 1.6k 0.8× 1.2k 1.1× 629 0.6× 223 12.6k
Alla Lapidus United States 53 7.1k 1.0× 4.0k 0.9× 2.2k 1.1× 842 0.8× 772 0.8× 150 12.9k
Dale A. Pelletier United States 42 6.3k 0.9× 3.6k 0.8× 4.3k 2.1× 975 0.9× 606 0.6× 104 15.5k
Hans‐Jürgen Busse Germany 50 6.1k 0.8× 4.2k 0.9× 1.8k 0.9× 790 0.7× 711 0.7× 302 9.3k
Miriam Land United States 43 8.7k 1.2× 6.5k 1.4× 2.3k 1.2× 885 0.8× 490 0.5× 108 15.3k
Michael Goodfellow United Kingdom 11 4.5k 0.6× 4.0k 0.9× 1.5k 0.7× 636 0.6× 472 0.5× 23 9.4k
Sang‐Cheol Park South Korea 15 7.7k 1.1× 4.6k 1.0× 2.2k 1.1× 1.1k 1.0× 1.1k 1.0× 45 10.4k
Sung Min Ha South Korea 17 8.3k 1.1× 4.8k 1.1× 2.5k 1.2× 1.1k 1.1× 1.1k 1.1× 45 11.0k
Susan M. Barns United States 27 6.6k 0.9× 5.4k 1.2× 3.6k 1.8× 933 0.9× 562 0.5× 29 15.0k
Loren Hauser United States 39 8.1k 1.1× 6.4k 1.4× 1.8k 0.9× 724 0.7× 415 0.4× 77 14.1k

Countries citing papers authored by Hana Yi

Since Specialization
Citations

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

Fields of papers citing papers by Hana Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hana Yi

This figure shows the co-authorship network connecting the top 25 collaborators of Hana Yi. A scholar is included among the top collaborators of Hana Yi 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 Hana Yi. Hana Yi 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
1.
Kang, Chang Moo, et al.. (2025). Urinary microbiome in non-muscle invasive bladder cancer: impact of sample types and sex differences. BMC Microbiology. 25(1). 623–623.
2.
Lee, B., et al.. (2024). Massilia litorea sp. nov., Marinobacter salinisoli sp. nov. and Rhodobacter xanthinilyticus sp. nov., isolated from coastal environments. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 74(1). 2 indexed citations
3.
Yi, Hana, et al.. (2023). Subspecies-level genome comparison of Lactobacillus delbrueckii. Scientific Reports. 13(1). 3171–3171. 19 indexed citations
4.
Shin, Dong‐Hoon, et al.. (2023). Universal primers for rift valley fever virus whole-genome sequencing. Scientific Reports. 13(1). 18688–18688.
5.
Park, Edmond Changkyun, et al.. (2022). Rapid and sensitive amplicon-based genome sequencing of SARS-CoV-2. Frontiers in Microbiology. 13. 876085–876085. 3 indexed citations
6.
Kim, Jihyun, Sung-Mi Choi, Jaehyun Park, et al.. (2021). Interactions between NCR+ILC3s and the Microbiome in the Airways Shape Asthma Severity. Immune Network. 21(4). e25–e25. 8 indexed citations
7.
Hong, Seung‐No, Kangjin Kim, Hana Yi, et al.. (2021). Association of obstructive sleep apnea severity with the composition of the upper airway microbiome. Journal of Clinical Sleep Medicine. 18(2). 505–515. 3 indexed citations
8.
Cho, Sung‐Woo, Dong‐Young Kim, Sung-Mi Choi, et al.. (2021). Microbiome profiling of uncinate tissue and nasal polyps in patients with chronic rhinosinusitis using swab and tissue biopsy. PLoS ONE. 16(4). e0249688–e0249688. 13 indexed citations
9.
Yi, Hana, et al.. (2020). Gemmobacter aquarius sp. nov., Runella rosea sp. nov. and Flavobacterium fluviale sp. nov., isolated from the Namhangang River system. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 70(11). 5640–5647. 5 indexed citations
10.
Kim, Min‐Ji, et al.. (2020). Mucilaginibacter celer sp. nov. and Aquirhabdus parva gen. nov., sp. nov., isolated from freshwater. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 70(10). 5479–5487. 3 indexed citations
11.
Chang, Ju Young, Sue Shin, Hana Yi, et al.. (2017). Epidemiology and Factors Related to Clinical Severity of Acute Gastroenteritis in Hospitalized Children after the Introduction of Rotavirus Vaccination. Journal of Korean Medical Science. 32(3). 465–465. 24 indexed citations
12.
Cho, Yong‐Joon, et al.. (2017). Synonymy of Micropolyspora internatus and Saccharomonospora viridis and Emended Description of Saccharomonospora viridis. Journal of Microbiology and Biotechnology. 27(1). 149–154. 1 indexed citations
13.
Choi, Sung-Mi, Sang‐Heon Cho, & Hana Yi. (2016). Human microbiome studies in Korea. Allergy Asthma & Respiratory Disease. 4(5). 311–311. 4 indexed citations
14.
15.
Kim, Mincheol, Hana Yi, Yong‐Joon Cho, et al.. (2012). Draft Genome Sequence of Escherichia coli W26, an Enteric Strain Isolated from Cow Feces. Journal of Bacteriology. 194(18). 5149–5150. 1 indexed citations
16.
Lee, Jae‐Hak, et al.. (2012). TBC: A clustering algorithm based on prokaryotic taxonomy. The Journal of Microbiology. 50(2). 181–185. 20 indexed citations
17.
Hur, Moonsuk, Young Woon Lim, Young Im Choi, et al.. (2012). Fungal community associated with genetically modified poplar during metal phytoremediation. The Journal of Microbiology. 50(6). 910–915. 10 indexed citations
18.
Yi, Hana, Yong‐Joon Cho, Sungho Won, et al.. (2011). Duplex-specific nuclease efficiently removes rRNA for prokaryotic RNA-seq. Nucleic Acids Research. 39(20). e140–e140. 83 indexed citations
19.
Lee, Jae‐Hak, Hana Yi, & Jongsik Chun. (2011). rRNASelector: A computer program for selecting ribosomal RNA encoding sequences from metagenomic and metatranscriptomic shotgun libraries. The Journal of Microbiology. 49(4). 689–691. 31 indexed citations
20.
Yi, Hana & Jongsik Chun. (2006). Thalassobius aestuarii sp. nov., isolated from tidal flat sediment.. PubMed. 44(2). 171–6. 42 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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