Dae‐Kyum Kim

8.9k total citations · 5 hit papers
50 papers, 5.2k citations indexed

About

Dae‐Kyum Kim is a scholar working on Molecular Biology, Cancer Research and Microbiology. According to data from OpenAlex, Dae‐Kyum Kim has authored 50 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 12 papers in Cancer Research and 7 papers in Microbiology. Recurrent topics in Dae‐Kyum Kim's work include Extracellular vesicles in disease (19 papers), MicroRNA in disease regulation (10 papers) and Bacterial Infections and Vaccines (7 papers). Dae‐Kyum Kim is often cited by papers focused on Extracellular vesicles in disease (19 papers), MicroRNA in disease regulation (10 papers) and Bacterial Infections and Vaccines (7 papers). Dae‐Kyum Kim collaborates with scholars based in South Korea, United States and Canada. Dae‐Kyum Kim's co-authors include Yong Song Gho, Dongsic Choi, Yoon‐Keun Kim, Yoon‐Keun Kim, Kwang Pyo Kim, Jinseong Jeon, Jae‐Wook Lee, Young‐Koo Jee, Dominic M. Desiderio and Su Chul Jang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Dae‐Kyum Kim

49 papers receiving 5.2k citations

Hit Papers

5 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.

Akkermansia muciniphila-derived extracellular vesicles influence gut permeability through the regulation of tight junctions

2018 613 citations Youngwoo Choi, Dae‐Kyum Kim et al. profile →
Gram‐positive bacteria produce membrane vesicles: Proteomics‐based characterization of Staphylococcus aureus ‐derived membrane vesicles

2009 526 citations Dae‐Kyum Kim, Yoon‐Keun Kim et al. PROTEOMICS profile →
Extracellular Vesicles Derived from Gut Microbiota, Especially Akkermansia muciniphila, Protect the Progression of Dextran Sulfate Sodium-Induced Colitis

2013 436 citations Min Gi Ban, Eun-Jeong Choi et al. PLoS ONE profile →
EVpedia: an integrated database of high‐throughput data for systemic analyses of extracellular vesicles

2013 413 citations Dae‐Kyum Kim, Oh Youn Kim et al. profile →
Network-based prediction of protein interactions

2019 283 citations I. Kovács, Katja Luck et al. Nature Communications profile →

Peers

Countries citing papers authored by Dae‐Kyum Kim

Since Specialization

Citations

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

Fields of papers citing papers by Dae‐Kyum Kim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dae‐Kyum Kim

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	A comprehensive two-hybrid analysis to explore the Legionella pneumophila effector–effector interactome 2024 ·mSystems ·(unknown), Malene L. Urbanus, Dayag Sheykhkarimli, Atina G. Coté, (unknown), Georges Coppin, Nishka Kishore, Roujia Li, Kerstin Spirohn, (unknown), Jennifer J. Knapp, Dae‐Kyum Kim, Jean‐Claude Twizere, Michael A. Calderwood, Marc Vidal, Frederick P. Roth, Alexander W. Ensminger	3
2	Irx5 and transient outward K⁺ currents contribute to transmural contractile heterogeneities in the mouse ventricle 2022 ·American Journal of Physiology-Heart and Circulatory Physiology ·Kyoung-Han Kim, (unknown), Jie Liu, (unknown), Ying Xia, (unknown), Dae‐Kyum Kim, Kiwon Ban, Mansoor Husain, Chi‐chung Hui, Peter H. Backx	2
3	Quantitative proteomics and biological activity of extracellular vesicles engineered to express SARS‐CoV‐2 spike protein 2022 ·SHILAP Revista de lepidopterología ·Dongsic Choi, Nargis Khan, Laura Montermini, Nadim Tawil, Brian Meehan, Dae‐Kyum Kim, Frederick P. Roth, Maziar Divangahi, Janusz Rak	8
4	Gut microbiota promotes stem cell differentiation through macrophage and mesenchymal niches in early postnatal development 2022 ·Immunity ·Ji‐Eun Kim, Bo Li, Lijiang Fei, (unknown), Dorothy Lee, (unknown), Hiromu Miyake, (unknown), (unknown), Dae‐Kyum Kim, Michael G. Surette, Dana J. Philpott, Philip M. Sherman, Guoji Guo, Agostino Pierro, Tae-Hee Kim	50
5	Extracellular Vesicle Proteomes Shed Light on the Evolutionary, Interactive, and Functional Divergence of Their Biogenesis Mechanisms 2021 ·Frontiers in Cell and Developmental Biology ·(unknown), Haejin Yoon, Hye‐Yeon Kim, (unknown), Ji‐Eun Kim, Oh Youn Kim, Eun Young Lee, Jean‐Claude Twizere, Janusz Rak, Dae‐Kyum Kim	18
6	A Comprehensive, Flexible Collection of SARS-CoV-2 Coding Regions 2020 ·G3 Genes Genomes Genetics ·Dae‐Kyum Kim, Jennifer J. Knapp, Da Kuang, Aditya Chawla, Patricia Cassonnet, Hunsang Lee, Dayag Sheykhkarimli, Payman Samavarchi‐Tehrani, Hala Abdouni, Ashyad Rayhan, Roujia Li, Oxana Pogoutse, Étienne Coyaud, Sylvie van der Werf, Caroline Demeret, Anne‐Claude Gingras, Mikko Taipale, Brian Raught, Yves Jacob, Frederick P. Roth	31
7	Quantifying immune-based counterselection of somatic mutations 2019 ·PLoS Genetics ·Fan Yang, Dae‐Kyum Kim, Hidewaki Nakagawa, Shuto Hayashi, Seiya Imoto, Lincoln Stein, Frederick P. Roth	12
8	Network-based prediction of protein interactions breakdown → 2019 ·Nature Communications ·I. Kovács, Katja Luck, Kerstin Spirohn, Yang Wang, (unknown), (unknown), Wenting Bian, Dae‐Kyum Kim, Nishka Kishore, Tong Hao, Michael A. Calderwood, Marc Vidal, Albert-Ĺaszló Barabási	283
9	Comparative Interactomes of VRK1 and VRK3 with Their Distinct Roles in the Cell Cycle of Liver Cancer 2017 ·Molecules and Cells ·Namgyu Lee, Dae‐Kyum Kim, Seung Hyun Han, Hye Guk Ryu, Sung Jin Park, Kyong‐Tai Kim, Kwan Yong Choi	11
10	Fibronectin-Containing Extracellular Vesicles Protect Melanocytes against Ultraviolet Radiation-Induced Cytotoxicity 2016 ·Journal of Investigative Dermatology ·(unknown), Dae‐Kyum Kim, Nan-Hyung Kim, Eun-Jeong Choi, Jinhyuk Bhin, Sung Tae Kim, Yong Song Gho, Ai‐Young Lee, Tae Ryong Lee, Eun‐Gyung Cho	32
11	EVpedia: A community web resource for prokaryotic and eukaryotic extracellular vesicles research 2015 ·Seminars in Cell and Developmental Biology ·Dae‐Kyum Kim, Jae‐Wook Lee, Richard J. Simpson, Jan Lötvall, Yong Song Gho	90
12	Gut microbe-derived extracellular vesicles induce insulin resistance, thereby impairing glucose metabolism in skeletal muscle 2015 ·Scientific Reports ·Youngwoo Choi, Yonghoon Kwon, Dae‐Kyum Kim, Jinseong Jeon, Su Chul Jang, Taejun Wang, (unknown), Min‐Hye Kim, Seong Gyu Jeon, Min Sun Kim, Cheol Soo Choi, Young‐Koo Jee, Yong Song Gho, Sung Ho Ryu, (unknown)	174
13	Decreased diversity of nasal microbiota and their secreted extracellular vesicles in patients with chronic rhinosinusitis based on a metagenomic analysis 2014 ·Allergy ·(unknown), S.‐W. Hong, Dae‐Kyum Kim, Seong Gyu Jeon, (unknown), Seok Hyun Cho, Yong Song Gho, Young‐Koo Jee, Y.‐K. Kim	114
14	Egr-1 Activation by Cancer-Derived Extracellular Vesicles Promotes Endothelial Cell Migration via ERK1/2 and JNK Signaling Pathways 2014 ·PLoS ONE ·Yae Jin Yoon, Dae‐Kyum Kim, Chang Min Yoon, Jaesung Park, (unknown), Tae‐Young Roh, Yong Song Gho	42
15	Staphylococcus aureus Extracellular Vesicles Carry Biologically Active β-Lactamase 2013 ·Antimicrobial Agents and Chemotherapy ·Jaewook Lee, Eunyoung Lee, Si‐Hyun Kim, Dae‐Kyum Kim, Kyong‐Su Park, Kwang Pyo Kim, Yoon‐Keun Kim, Tae‐Young Roh, Yong Song Gho	154
16	Extracellular Vesicles Derived from Gut Microbiota, Especially Akkermansia muciniphila, Protect the Progression of Dextran Sulfate Sodium-Induced Colitis breakdown → 2013 ·PLoS ONE ·(unknown), Min Gi Ban, Eun-Jeong Choi, Hyung‐Geun Moon, Jinseong Jeon, Dae‐Kyum Kim, Soo‐Kyung Park, Seong Gyu Jeon, Tae‐Young Roh, Seung‐Jae Myung, Yong Song Gho, Jae Gyu Kim, Yoon‐Keun Kim	436
17	Proteomic analysis of outer membrane vesicles derived from Pseudomonas aeruginosa 2011 ·PROTEOMICS ·Dongsic Choi, Dae‐Kyum Kim, Seng Jin Choi, Jaewook Lee, Jun‐Pyo Choi, Sangchul Rho, Sang‐Hyun Park, Yoon‐Keun Kim, Daehee Hwang, Yong Song Gho	203
18	Prevalence of Thyroid Nodules and Thyroid Cancers 2009 ·Dae‐Kyum Kim	1
19	Preferential Expression of L‐type Amino Acid Transporter 1 in Ameloblasts During Rat Tooth Development 2004 ·Anatomia Histologia Embryologia ·(unknown), (unknown), Jung Hoon Yoon, Hwa‐Jung Kim, (unknown), Yoshikatsu Kanai, Hitoshi Endou, Dae‐Kyum Kim	2
20	Mouse Asc-1 (asc-type amino acid transporter 1) maps to chromosome 7, region B1-B5 2000 ·Chromosome Research ·Hirotaka Matsuo, Arthit Chairoungdua, Dae‐Kyum Kim, (unknown), Jun Fukuda, Hitoshi Endou, Yoshikatsu Kanai	1

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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