Seil Kim

57 papers receiving 3.2k citations

Seil Kim's Hit Papers

EzTaxon: a web-based tool for the identification of prokaryotes based on 16S ribosomal RNA gene sequences 2007 · 1.9k citations
1.9k0+6+12Years since publication50010001.5k

Peers

Seil Kim
Comparison fields: 5 of 139
  • Microbiology 62
  • Ecology 975
  • Biotechnology 299
  • Molecular Biology 2.0k
  • Pollution 316
Replace Anja Poehlein with:
Anja Poehlein Germany
A. B. Arun India
Jung‐Sook Lee South Korea
Soon-Wo Kwon South Korea
Byung Kwon Kim South Korea
Seok-Hwan Yoon South Korea
Syed G. Dastager India
Rüdiger Pukall Germany
Shanmugam Mayilraj India
Jorge Lalucat Spain
Seil Kim relative to Anja Poehlein Germany Anja Poehlein's profile →
Citations per field
00.5×2.8×
Anja Poehlein · 1×
Citations per year

Countries citing papers authored by Seil Kim

Since Specialization
Citations

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

Fields of papers citing papers by Seil Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Seil Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Seil Kim Line = papers co-authored together Seil Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1
EzTaxon: a web-based tool for the identification of prokaryotes based on 16S ribosomal RNA gene sequences
Hit paper breakdown →
20071866
2 2015153
3 2020104
4 201198
5 201364
6 201363
7 201760
8 201254
9 201353
10 201950
11 202150
12 201248
13 202144
14 201336
15 200934
16 202134
17 200630
18 201330
19 202129
20 201529

About Seil Kim

Seil Kim is a scholar working on Molecular Biology, Ecology, Infectious Diseases, Biomedical Engineering and Immunology, having authored 64 papers that have together received 3.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (14 papers), Microbial Community Ecology and Physiology (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Biofuel production and bioconversion (7 papers), Immune Cell Function and Interaction (6 papers), Viral gastroenteritis research and epidemiology (6 papers), SARS-CoV-2 detection and testing (5 papers) and Bacteriophages and microbial interactions (5 papers). The work is most often cited by research in Microbiology (62 citations), Ecology (975 citations), Biotechnology (299 citations), Molecular Biology (2.0k citations) and Pollution (316 citations). Seil Kim has collaborated with scholars based in South Korea, United States and Pakistan. Frequent co-authors include Jongsik Chun, Byung Kwon Kim, Myung‐Jin Kim, Jae‐Hak Lee, Young‐Woon Lim, Byoung‐In Sang, Youngsoon Um, Byoung Seung Jeon, Hyunook Kim and Hee Min Yoo. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Frontiers in Microbiology, Scientific Reports, Desalination and Applied Microbiology and Biotechnology.

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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