Hong‐Man Kim

533 total citations
17 papers, 449 citations indexed

About

Hong‐Man Kim is a scholar working on Molecular Biology, Genetics and Molecular Medicine. According to data from OpenAlex, Hong‐Man Kim has authored 17 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Genetics and 5 papers in Molecular Medicine. Recurrent topics in Hong‐Man Kim's work include Bacterial Genetics and Biotechnology (7 papers), Antibiotic Resistance in Bacteria (5 papers) and RNA and protein synthesis mechanisms (5 papers). Hong‐Man Kim is often cited by papers focused on Bacterial Genetics and Biotechnology (7 papers), Antibiotic Resistance in Bacteria (5 papers) and RNA and protein synthesis mechanisms (5 papers). Hong‐Man Kim collaborates with scholars based in South Korea, Czechia and United States. Hong‐Man Kim's co-authors include Kangseok Lee, Nam‐Chul Ha, Se‐Hoon Sim, Shunfu Piao, Cheorl‐Ho Kim, Young‐Choon Lee, Yongbin Xu, Sung‐Kwon Moon, Yongbin Xu and Jeehyeon Bae and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Molecular Biology.

In The Last Decade

Hong‐Man Kim

16 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong‐Man Kim South Korea 9 201 197 193 81 80 17 449
Se‐Hoon Sim South Korea 12 170 0.8× 233 1.2× 211 1.1× 73 0.9× 61 0.8× 18 463
Natalya Baranova United States 7 215 1.1× 259 1.3× 156 0.8× 71 0.9× 106 1.3× 8 538
Katherine Young United States 6 120 0.6× 292 1.5× 178 0.9× 62 0.8× 33 0.4× 7 491
Zhili Yu China 10 87 0.4× 197 1.0× 56 0.3× 23 0.3× 34 0.4× 16 356
Miao Zhu China 13 67 0.3× 238 1.2× 148 0.8× 72 0.9× 20 0.3× 33 465
Zhenghua Cao United States 9 114 0.6× 268 1.4× 310 1.6× 45 0.6× 44 0.6× 12 514
Shimei Gong United States 12 49 0.2× 360 1.8× 240 1.2× 210 2.6× 54 0.7× 12 649
Simon R. Bushell United Kingdom 8 100 0.5× 163 0.8× 75 0.4× 42 0.5× 28 0.3× 10 381
Gaby Sennhauser Switzerland 4 293 1.5× 256 1.3× 133 0.7× 33 0.4× 140 1.8× 4 528
Georgia L. Isom United States 7 107 0.5× 187 0.9× 179 0.9× 58 0.7× 44 0.6× 12 344

Countries citing papers authored by Hong‐Man Kim

Since Specialization
Citations

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

Fields of papers citing papers by Hong‐Man Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong‐Man Kim

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

All Works

17 of 17 papers shown
1.
Shin, Eunkyoung, et al.. (2025). CRISPR-Cas technologies: Emerging tools from research to clinical application. The Journal of Microbiology. 63(8). e2504012–e2504012.
2.
Lee, Jaemin, et al.. (2022). Development of DNA aptamers specific for small therapeutic peptides using a modified SELEX method. The Journal of Microbiology. 60(7). 659–667. 6 indexed citations
3.
Lee, Minho, Young‐Jin Seo, Jae‐Jin Lee, et al.. (2021). Endoribonuclease-mediated control of hns mRNA stability constitutes a key regulatory pathway for Salmonella Typhimurium pathogenicity island 1 expression. PLoS Pathogens. 17(2). e1009263–e1009263. 8 indexed citations
4.
Jin, Hanyong, Miae Won, Eunkyoung Shin, et al.. (2016). EGR2 is a gonadotropin-induced survival factor that controls the expression of IER3 in ovarian granulosa cells. Biochemical and Biophysical Research Communications. 482(4). 877–882. 10 indexed citations
5.
Kim, Jaehong, Yong‐Hak Kim, Hong‐Man Kim, et al.. (2014). FOXL2 posttranslational modifications mediated by GSK3β determine the growth of granulosa cell tumours. Nature Communications. 5(1). 2936–2936. 33 indexed citations
6.
Xu, Yongbin, Min‐Ho Lee, Arne Moeller, et al.. (2011). Funnel-like Hexameric Assembly of the Periplasmic Adapter Protein in the Tripartite Multidrug Efflux Pump in Gram-negative Bacteria. Journal of Biological Chemistry. 286(20). 17910–17920. 52 indexed citations
7.
Xu, Yongbin, Se‐Hoon Sim, Saemee Song, et al.. (2010). The tip region of the MacA α-hairpin is important for the binding to TolC to the Escherichia coli MacAB–TolC pump. Biochemical and Biophysical Research Communications. 394(4). 962–965. 34 indexed citations
8.
Kim, Hong‐Man, Yongbin Xu, Shunfu Piao, et al.. (2010). Functional Relationships between the AcrA Hairpin Tip Region and the TolC Aperture Tip Region for the Formation of the Bacterial Tripartite Efflux Pump AcrAB-TolC. Journal of Bacteriology. 192(17). 4498–4503. 41 indexed citations
9.
Xu, Yongbin, Se‐Hoon Sim, Ki Hyun Nam, et al.. (2009). Crystal Structure of the Periplasmic Region of MacB, a Noncanonic ABC Transporter,. Biochemistry. 48(23). 5218–5225. 39 indexed citations
10.
Sim, Se‐Hoon, Ji‐Hyun Yeom, Eunkyoung Shin, et al.. (2009). Escherichia coli ribonuclease III activity is downregulated by osmotic stress: consequences for the degradation of bdm mRNA in biofilm formation. Molecular Microbiology. 75(2). 413–425. 54 indexed citations
11.
Yum, Soohwan, Yongbin Xu, Shunfu Piao, et al.. (2009). Crystal Structure of the Periplasmic Component of a Tripartite Macrolide-Specific Efflux Pump. Journal of Molecular Biology. 387(5). 1286–1297. 93 indexed citations
12.
Ha, Hye‐Jeong, Hong‐Man Kim, Ji‐Hyun Yeom, & Kangseok Lee. (2008). Development of Genetic System for Isolation of SSU rRNA Mutants that Bypass SecM-Mediated Ribosome Stalling. 44(4). 271–276. 1 indexed citations
13.
Kim, Hong‐Man, et al.. (2007). Functional analysis of the residues C770 and G771 of E. coli 16S rRNA implicated in forming the intersubunit bridge B2c of the ribosome.. PubMed. 17(7). 1204–7. 4 indexed citations
14.
Kim, Hong‐Man, Jaehong Kim, Se‐Hoon Sim, et al.. (2007). Functional analysis of the invariant residue G791 of Escherichia coli 16S rRNA.. PubMed. 45(5). 418–21. 3 indexed citations
15.
Moon, Sung‐Kwon, Hong‐Man Kim, Young‐Choon Lee, & Cheorl‐Ho Kim. (2004). Disialoganglioside (GD3) Synthase Gene Expression Suppresses Vascular Smooth Muscle Cell Responses via the Inhibition of ERK1/2 Phosphorylation, Cell Cycle Progression, and Matrix Metalloproteinase-9 Expression. Journal of Biological Chemistry. 279(32). 33063–33070. 64 indexed citations
16.
Park, Chan-Yong, et al.. (1998). Sidelobe-Suppression of Grating-Assisted Codirectional Coupler Filter by Selective Area Growth. Japanese Journal of Applied Physics. 37(6A). L656–L656. 1 indexed citations
17.
Park, Chan-Yong, et al.. (1998). Fabrication of sidelobe-suppressed InP-InGaAsP vertical coupler optical filter using pair grating structure. IEEE Photonics Technology Letters. 10(11). 1593–1595. 6 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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