Un‐Hwan Ha

2.1k total citations
77 papers, 1.5k citations indexed

About

Un‐Hwan Ha is a scholar working on Molecular Biology, Immunology and Molecular Medicine. According to data from OpenAlex, Un‐Hwan Ha has authored 77 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 26 papers in Immunology and 14 papers in Molecular Medicine. Recurrent topics in Un‐Hwan Ha's work include Bacterial biofilms and quorum sensing (21 papers), Immune Response and Inflammation (18 papers) and Antibiotic Resistance in Bacteria (14 papers). Un‐Hwan Ha is often cited by papers focused on Bacterial biofilms and quorum sensing (21 papers), Immune Response and Inflammation (18 papers) and Antibiotic Resistance in Bacteria (14 papers). Un‐Hwan Ha collaborates with scholars based in South Korea, United States and China. Un‐Hwan Ha's co-authors include Shouguang Jin, Jiandong Li, Jae Hyang Lim, Jinghua Jia, Haidong Xu, Heesung Shin, Hirofumi Jono, Lin Zeng, Tomoaki Koga and Yanping Wang and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and The Journal of Immunology.

In The Last Decade

Un‐Hwan Ha

73 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Un‐Hwan Ha South Korea 23 806 327 295 216 216 77 1.5k
Kok‐Fai Kong United States 19 1.0k 1.3× 444 1.4× 425 1.4× 150 0.7× 192 0.9× 25 2.1k
Shugang Qin China 16 1.3k 1.6× 312 1.0× 271 0.9× 180 0.8× 127 0.6× 40 1.9k
Dafei Chai China 17 562 0.7× 432 1.3× 412 1.4× 96 0.4× 125 0.6× 56 1.4k
Tadao Hasegawa Japan 31 1.6k 1.9× 365 1.1× 174 0.6× 296 1.4× 149 0.7× 181 3.4k
Zhiqiang Qin United States 30 1.7k 2.1× 399 1.2× 257 0.9× 144 0.7× 186 0.9× 110 2.9k
Tsuneyuki Ubagai Japan 22 558 0.7× 195 0.6× 312 1.1× 105 0.5× 175 0.8× 50 1.3k
Christian Köhler Germany 25 1.0k 1.2× 188 0.6× 249 0.8× 326 1.5× 121 0.6× 74 2.2k
Yixin Shi China 24 772 1.0× 202 0.6× 159 0.5× 381 1.8× 236 1.1× 54 2.1k
Yaomei Tian China 20 831 1.0× 409 1.3× 193 0.7× 256 1.2× 81 0.4× 36 1.5k
Åsa Karlsson Sweden 20 1.0k 1.3× 130 0.4× 346 1.2× 296 1.4× 121 0.6× 45 2.3k

Countries citing papers authored by Un‐Hwan Ha

Since Specialization
Citations

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

Fields of papers citing papers by Un‐Hwan Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Un‐Hwan Ha. 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 Un‐Hwan Ha. The network helps show where Un‐Hwan Ha may publish in the future.

Co-authorship network of co-authors of Un‐Hwan Ha

This figure shows the co-authorship network connecting the top 25 collaborators of Un‐Hwan Ha. A scholar is included among the top collaborators of Un‐Hwan Ha 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 Un‐Hwan Ha. Un‐Hwan Ha 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.
Lee, J. H., Yongxin Jin, Weihui Wu, Yeji Lee, & Un‐Hwan Ha. (2025). Pseudomonas aeruginosa-derived DnaJ induces TLR2 expression through TLR10-mediated activation of the PI3K-SGK1 pathway in macrophages. Microbes and Infection. 27(4). 105481–105481.
2.
Zhou, Yuchen, Jing Qu, Zhuo Yue, et al.. (2023). Delivery of spike-RBD by bacterial type three secretion system for SARS-CoV-2 vaccine development. Frontiers in Immunology. 14. 1129705–1129705. 3 indexed citations
3.
Li, Shou‐Yi, Xiaolei Pan, Yongxin Jin, et al.. (2022). Acetylation of CspC Controls the Las Quorum-Sensing System through Translational Regulation of rsaL in Pseudomonas aeruginosa. mBio. 13(3). e0054722–e0054722. 8 indexed citations
4.
Kim, Jinhyun, Seung Pil Pack, Un‐Hwan Ha, et al.. (2018). Decreased Expression of Sphingosine-1-Phosphate Receptor 1 in the Blood Leukocyte of Rheumatoid Arthritis Patients. Immune Network. 18(5). e39–e39. 11 indexed citations
5.
Chang, Hye Jin, Tae Hoon Kim, Jung‐Yoon Yoo, et al.. (2018). Pik3ca is required for mouse uterine gland development and pregnancy. PLoS ONE. 13(1). e0191433–e0191433. 8 indexed citations
6.
Kim, Yong‐Jae, et al.. (2016). Identification of D-amino acid dehydrogenase as an upstream regulator of the autoinduction of a putative acyltransferase in Corynebacterium glutamicum. The Journal of Microbiology. 54(6). 432–439. 1 indexed citations
7.
Park, Ji-Na, et al.. (2014). Semi-continuous, label-free immunosensing approach for Ca2+-based conformation change of a calcium-binding protein. The Analyst. 139(15). 3781–3789. 6 indexed citations
8.
Kim, Yong‐Jae, Yeji Lee, Jingyue Jia, et al.. (2014). Nucleoside Diphosphate Kinase and Flagellin from Pseudomonas aeruginosa Induce Interleukin 1 Expression via the Akt/NF-κB Signaling Pathways. Infection and Immunity. 82(8). 3252–3260. 15 indexed citations
9.
Ha, Un‐Hwan, et al.. (2014). The effects of antibiotics on the biofilm formation and antibiotic resistance gene transfer. Desalination and Water Treatment. 54(13). 3582–3588. 32 indexed citations
10.
Ha, Un‐Hwan, et al.. (2013). Specific detection of inflamed cells using TLR1 antibody and its secondary antibody-conjugated nano-beads. Enzyme and Microbial Technology. 53(4). 223–228. 2 indexed citations
11.
Shin, Heesung & Un‐Hwan Ha. (2011). Up-Regulation of Bradykinin B2 Receptor by Pseudomonas aeruginosa via the NF-κB Pathway. Current Microbiology. 63(2). 138–144. 6 indexed citations
12.
Shin, Heesung, et al.. (2010). Autoinduction of a genetic locus encoding putative acyltransferase in Corynebacterium glutamicum. Biotechnology Letters. 33(1). 97–102. 5 indexed citations
13.
Koga, Tomoaki, Jae Hyang Lim, Hirofumi Jono, et al.. (2008). Tumor Suppressor Cylindromatosis Acts as a Negative Regulator for Streptococcus pneumoniae-induced NFAT Signaling. Journal of Biological Chemistry. 283(18). 12546–12554. 45 indexed citations
14.
Ishinaga, Hajime, Hirofumi Jono, Jae Hyang Lim, et al.. (2007). TGF‐β induces p65 acetylation to enhance bacteria‐induced NF‐κB activation. The EMBO Journal. 26(4). 1150–1162. 83 indexed citations
15.
Ha, Un‐Hwan, Jae Hyang Lim, Hirofumi Jono, et al.. (2007). A Novel Role for IκB Kinase (IKK) α and IKKβ in ERK-Dependent Up-Regulation of MUC5AC Mucin Transcription by Streptococcus pneumoniae. The Journal of Immunology. 178(3). 1736–1747. 61 indexed citations
16.
Lim, Jae Hyang, Hirofumi Jono, Tomoaki Koga, et al.. (2007). Tumor Suppressor CYLD Acts as a Negative Regulator for Non-Typeable Haemophilus influenza-Induced Inflammation in the Middle Ear and Lung of Mice. PLoS ONE. 2(10). e1032–e1032. 73 indexed citations
17.
18.
Kim, Jae Wha, Kyung‐Seop Ahn, Jinghua Jia, et al.. (2005). Factors triggering type III secretion in Pseudomonas aeruginosa. Microbiology. 151(11). 3575–3587. 49 indexed citations
19.
Ha, Un‐Hwan, et al.. (1998). Characterization of an unusual sensor gene (virA) of Agrobacterium. Gene. 210(2). 307–314. 3 indexed citations
20.
Ha, Un‐Hwan, et al.. (1994). Host Construction by Curing the Octopine Type Ti and Cryptic Plasmids in Agrobacterium tumefaciens KU12. Korean Journal of Microbiology. 32(1). 53–59. 1 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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