Namshin Kim

4.4k total citations
91 papers, 2.9k citations indexed

About

Namshin Kim is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Namshin Kim has authored 91 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 31 papers in Genetics and 22 papers in Plant Science. Recurrent topics in Namshin Kim's work include Genomics and Phylogenetic Studies (18 papers), RNA and protein synthesis mechanisms (12 papers) and RNA modifications and cancer (12 papers). Namshin Kim is often cited by papers focused on Genomics and Phylogenetic Studies (18 papers), RNA and protein synthesis mechanisms (12 papers) and RNA modifications and cancer (12 papers). Namshin Kim collaborates with scholars based in South Korea, United States and Canada. Namshin Kim's co-authors include Alexander V. Alekseyenko, Seongmun Jeong, Jae‐Yoon Kim, Christopher Lee, Jung‐Kyung Moon, Soon‐Chun Jeong, Sanghyuk Lee, C. Justin Lee, Hee‐Ju Yu and Jeong‐Hwan Mun and has published in prestigious journals such as Nucleic Acids Research, The Journal of Chemical Physics and Bioinformatics.

In The Last Decade

Namshin Kim

89 papers receiving 2.8k citations

Peers

Countries citing papers authored by Namshin Kim

Since Specialization

Citations

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

Fields of papers citing papers by Namshin Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Namshin Kim

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	High-efficiency base editing for nuclear and mitochondrial DNA with an optimized DYW-like deaminase 2025 ·Molecular Therapy ·Jiyeon Kweon, (unknown), (unknown), Kayeong Lim, (unknown), (unknown), Minyoung Lee, (unknown), (unknown), (unknown), (unknown), (unknown), Namshin Kim, (unknown), Daesik Kim, Yongsub Kim	0
2	Single-cell transcriptome of the mouse retinal pigment epithelium in response to a low-dose of doxorubicin 2022 ·Communications Biology ·Hyungwoo Lee, Hoyeon Lee, (unknown), Chulwoo Park, Chaekyu Kim, Ja‐Hyoung Ryu, Jiwon Jang, Namshin Kim, Hyewon Chung	9
3	Genetic Differences between Physical Injury Patients With and Without Post-traumatic Syndrome: Focus on Secondary Findings and Potential Variants Revealed by Whole Exome Sequencing 2021 ·Clinical Psychopharmacology and Neuroscience ·Hee‐Ju Kang, Hoyeon Lee, (unknown), Ju‐Wan Kim, Ju‐Yeon Lee, Sung‐Wan Kim, Jung-Chul Kim, Il‐Seon Shin, Namshin Kim, Jae‐Min Kim	1
4	Gene Expression Profile in Similar Tissues Using Transcriptome Sequencing Data of Whole-Body Horse Skeletal Muscle 2020 ·Genes ·Hoyeon Lee, Jae‐Yoon Kim, Kyoung Hyoun Kim, Seongmun Jeong, (unknown), Namshin Kim	3
5	Whole Exome Sequencing Identifies Novel De Novo Variants Interacting with Six Gene Networks in Autism Spectrum Disorder 2020 ·Genes ·Namshin Kim, Kyoung Hyoun Kim, (unknown), Jiwoong Kim, Soon Ae Kim, Hee Jeong Yoo	21
6	Genome-wide association and epistatic interactions of flowering time in soybean cultivar 2020 ·PLoS ONE ·Kyoung Hyoun Kim, Jae‐Yoon Kim, (unknown), Seongmun Jeong, Hoyeon Lee, (unknown), Jung‐Kyung Moon, Namshin Kim	27
7	Korean soybean core collection: Genotypic and phenotypic diversity population structure and genome-wide association study 2019 ·PLoS ONE ·Namhee Jeong, (unknown), Seongmun Jeong, Jae‐Yoon Kim, Soo-Kwon Park, (unknown), Soon‐Chun Jeong, Sung‐Taeg Kang, Bo‐Keun Ha, (unknown), Namshin Kim, Jung‐Kyung Moon, Man Soo Choi	44
8	Whole genome and transcriptome maps of the entirely black native Korean chicken breed Yeonsan Ogye 2018 ·GigaScience ·(unknown), (unknown), (unknown), Jun‐Mo Kim, Dajeong Lim, Kyung‐Tai Lee, Yoon Jung, (unknown), Namshin Kim, Han‐Ha Chai, Jin‐Wu Nam	32
9	Integrated transcriptomes throughout swine oestrous cycle reveal dynamic changes in reproductive tissues interacting networks 2018 ·Scientific Reports ·Jun‐Mo Kim, Jong‐Eun Park, Inkyu Yoo, Jisoo Han, Namshin Kim, (unknown), (unknown), Bong‐Hwan Choi, Sun-Ho Choi, Tae-Hun Kim, M.F.W. te Pas, Hakhyun Ka, Kyung‐Tai Lee	33
10	GenoCore: A simple and fast algorithm for core subset selection from large genotype datasets 2017 ·PLoS ONE ·Seongmun Jeong, Jae‐Yoon Kim, Soon‐Chun Jeong, Sung‐Taeg Kang, Jung‐Kyung Moon, Namshin Kim	40
11	SEXCMD: Development and validation of sex marker sequences for whole-exome/genome and RNA sequencing 2017 ·PLoS ONE ·Seongmun Jeong, Ji‐Woong Kim, Won Park, (unknown), Namshin Kim	5
12	Transcriptomic analysis of mitochondrial TFAM depletion changing cell morphology and proliferation 2017 ·Scientific Reports ·(unknown), (unknown), Seon‐Woo Lee, (unknown), Namshin Kim, J. Eugene Lee, Changwon Kang	33
13	Deep Sequencing of the Medicago truncatula Root Transcriptome Reveals a Massive and Early Interaction between Nodulation Factor and Ethylene Signals 2015 ·PLANT PHYSIOLOGY ·Estíbaliz Larrainzar, Brendan K. Riely, Sang Cheol Kim, Noelia Carrasquilla‐Garcia, Hee‐Ju Yu, Hyun‐Ju Hwang, Mi‐Jin Oh, Goon-Bo Kim, (unknown), Deborah Chasman, Alireza Fotuhi Siahpirani, R. Varma Penmetsa, Gang‐Seob Lee, Namshin Kim, Sushmita Roy, Jeong‐Hwan Mun, Douglas R. Cook	113
14	A genome-wide scan for signatures of directional selection in domesticated pigs 2015 ·BMC Genomics ·Sunjin Moon, Tae Hun Kim, Kyung‐Tai Lee, Woori Kwak, Taeheon Lee, (unknown), (unknown), (unknown), Namshin Kim, (unknown), Samsun Sung, Taesung Park, Seoae Cho, Martien A. M. Groenen, Rasmus Nielsen, Yuseob Kim, Heebal Kim	54
15	Genome-wide Marker Development for Radish (Raphanus sativus) Using Next GenerationSequencing 2014 ·Hee Chung, Young‐Min Jeong, (unknown), Jeong‐Hwan Mun, Namshin Kim, Hee‐Ju Yu	1
16	Whole Genome Resequencing of Heugu (Korean Black Cattle) for the Genome-Wide SNP Discovery 2013 ·Korean Journal for Food Science of Animal Resources ·Jung-Woo Choi, Won‐Hyong Chung, Kyung‐Tai Lee, (unknown), (unknown), Yong-Min Cho, Namshin Kim, Tae-Hun Kim	3
17	Methodology and software to detect viral integration site hot-spots 2011 ·BMC Bioinformatics ·Angela P. Presson, Namshin Kim, Xiaofei Yan, Irvin S. Y. Chen, Sanggu Kim	12
18	Genetic loci associated with lipid concentrations and cardiovascular risk factors in the Korean population 2010 ·Journal of Medical Genetics ·(unknown), Namshin Kim, Jong‐Young Lee, Hyun‐Young Park	38
19	Bioinformatics Detection of Alternative Splicing 2008 ·Methods in molecular biology ·Namshin Kim, Christopher Lee	14
20	Global analysis of exon creation versus loss and the role of alternative splicing in 17 vertebrate genomes 2007 ·RNA ·Alexander V. Alekseyenko, Namshin Kim, C. Justin Lee	102

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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