Jeong‐Hwan Kim

1.9k total citations
45 papers, 1.3k citations indexed

About

Jeong‐Hwan Kim is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jeong‐Hwan Kim has authored 45 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 13 papers in Cancer Research and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jeong‐Hwan Kim's work include Cancer-related gene regulation (7 papers), RNA modifications and cancer (7 papers) and Genetic factors in colorectal cancer (6 papers). Jeong‐Hwan Kim is often cited by papers focused on Cancer-related gene regulation (7 papers), RNA modifications and cancer (7 papers) and Genetic factors in colorectal cancer (6 papers). Jeong‐Hwan Kim collaborates with scholars based in South Korea, United States and Yemen. Jeong‐Hwan Kim's co-authors include Seon‐Young Kim, Yong Sung Kim, Jin Cheon Kim, Jong‐Lyul Park, Dae‐Sik Lim, Kyu‐Sang Song, Seon Ae Roh, Seung‐Moo Noh, Seon‐Kyu Kim and Dong‐Hyung Cho and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Jeong‐Hwan Kim

41 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeong‐Hwan Kim South Korea 21 841 266 248 186 150 45 1.3k
Shiquan Liu China 21 742 0.9× 262 1.0× 137 0.6× 244 1.3× 144 1.0× 74 1.4k
Sarah P. Short United States 18 605 0.7× 176 0.7× 116 0.5× 251 1.3× 129 0.9× 45 1.2k
Christopher Flynn United States 16 1.1k 1.3× 123 0.5× 164 0.7× 219 1.2× 170 1.1× 33 1.5k
Lei Hu China 20 779 0.9× 483 1.8× 107 0.4× 198 1.1× 55 0.4× 38 1.2k
Ana Janic Australia 10 1.3k 1.5× 361 1.4× 144 0.6× 590 3.2× 97 0.6× 13 1.8k
Xu Feng United States 22 1.6k 1.9× 401 1.5× 334 1.3× 422 2.3× 203 1.4× 65 2.2k
Chunyan Tian China 24 1.2k 1.4× 256 1.0× 132 0.5× 374 2.0× 169 1.1× 76 1.8k
Sabine Novak Austria 12 1.1k 1.3× 257 1.0× 163 0.7× 222 1.2× 229 1.5× 14 2.0k
Kun Gao China 19 766 0.9× 209 0.8× 197 0.8× 167 0.9× 44 0.3× 67 1.1k

Countries citing papers authored by Jeong‐Hwan Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jeong‐Hwan Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jeong‐Hwan Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jeong‐Hwan Kim. A scholar is included among the top collaborators of Jeong‐Hwan 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 Jeong‐Hwan Kim. Jeong‐Hwan Kim 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, Eun Jung, Sooyeon Park, Hyun‐Ju Cho, et al.. (2025). Restoration of retinal regenerative potential of Müller glia by disrupting intercellular Prox1 transfer. Nature Communications. 16(1). 2928–2928. 1 indexed citations
2.
Seo, Ji‐Eun, Jae‐Yoon Kim, Ye Jin Ha, et al.. (2025). Prognostic and therapeutic value of a 23-gene risk score tailored to the molecular characteristics of mucinous colorectal cancer. British Journal of Cancer. 133(5). 685–696.
3.
Ju, Shinyeong, Sung‐Ho Goh, Byoung-Ha Yoon, et al.. (2024). Proteogenomic Characterization Reveals Estrogen Signaling as a Target for Never-Smoker Lung Adenocarcinoma Patients without EGFR or ALK Alterations. Cancer Research. 84(9). 1491–1503. 7 indexed citations
4.
Ha, Ye Jin, Jong Lyul Lee, Chan Wook Kim, et al.. (2024). CILP2 is a potential biomarker for the prediction and therapeutic target of peritoneal metastases in colorectal cancer. Scientific Reports. 14(1). 12487–12487. 2 indexed citations
5.
Seo, Eun‐Hye, et al.. (2023). Multi-omics data of gastric cancer cell lines. BMC Genomic Data. 24(1). 24–24. 1 indexed citations
6.
Kang, Ju‐Gyeong, et al.. (2023). Gene Set Enrichment Analysis Reveals That Fucoidan Induces Type I IFN Pathways in BMDC. The Journal of Immunology. 210(Supplement_1). 221.20–221.20.
7.
Kang, Ju‐Gyeong, et al.. (2022). Gene Set Enrichment Analysis Reveals That Fucoidan Induces Type I IFN Pathways in BMDC. Nutrients. 14(11). 2242–2242. 8 indexed citations
8.
Kang, Yea Eun, Jeong‐Hwan Kim, Jong‐Lyul Park, et al.. (2022). Transcriptomic Analysis of Papillary Thyroid Cancer: A Focus on Immune-Subtyping, Oncogenic Fusion, and Recurrence. Clinical and Experimental Otorhinolaryngology. 15(2). 183–193. 10 indexed citations
9.
Ha, Ye Jin, Jong-Hwan Kim, Jeong‐Hwan Kim, et al.. (2022). Genomic and transcriptomic analysis of Korean colorectal cancer patients. Genes & Genomics. 44(8). 967–979. 5 indexed citations
11.
Park, Jong‐Lyul, Jong-Hwan Kim, Jeong‐Hwan Kim, et al.. (2019). Comparison of the MGISEQ-2000 and Illumina HiSeq 4000 sequencing platforms for RNA sequencing. Genomics & Informatics. 17(3). e32–e32. 35 indexed citations
12.
Choi, Wonyoung, Jeongsik Kim, Jaeoh Park, et al.. (2018). YAP/TAZ Initiates Gastric Tumorigenesis via Upregulation of MYC. Cancer Research. 78(12). 3306–3320. 109 indexed citations
13.
Park, Jong‐Lyul, Seon‐Kyu Kim, Jeong‐Hwan Kim, et al.. (2018). Generation of Whole-Genome Sequencing Data for Comparing Primary and Castration-Resistant Prostate Cancer. Genomics & Informatics. 16(3). 71–74. 1 indexed citations
14.
Ha, Ye Jin, Chan Wook Kim, Seon Ae Roh, et al.. (2017). PSMB8 as a Candidate Marker of Responsiveness to Preoperative Radiation Therapy in Rectal Cancer Patients. International Journal of Radiation Oncology*Biology*Physics. 98(5). 1164–1173. 32 indexed citations
15.
Kim, Tackhoon, et al.. (2016). MRTF potentiates TEADYAP transcriptional activity causing metastasis. The EMBO Journal. 36(4). 520–535. 81 indexed citations
16.
Baek, Su‐Jin, Mirang Kim, Donghyuck Bae, et al.. (2016). Integrated epigenomic analyses of enhancer as well as promoter regions in gastric cancer. Oncotarget. 7(18). 25620–25631. 12 indexed citations
17.
Park, Seong-Yeon, Jeong‐Hwan Kim, Tae-Wook Kang, et al.. (2012). Genome-wide mRNA profiling and multiplex quantitative RT-PCR for forensic body fluid identification. Forensic Science International Genetics. 7(1). 143–150. 54 indexed citations
18.
Kwon, Oh‐Hyung, Jong‐Lyul Park, Mirang Kim, et al.. (2011). Aberrant up-regulation of LAMB3 and LAMC2 by promoter demethylation in gastric cancer. Biochemical and Biophysical Research Communications. 406(4). 539–545. 51 indexed citations
19.
Jeong, Hae Jin, Sun Joo Lee, Jeong‐Hwan Kim, et al.. (2007). Acanthamoeba: Keratopathogenicity of isolates from domestic tap water in Korea. Experimental Parasitology. 117(4). 357–367. 27 indexed citations
20.
Kim, Jeong‐Hwan, et al.. (2003). A Case of Primary Small Cell Neuroendocrine Carcinoma of the Rectum. Clinical Endoscopy. 27(4). 239–243.

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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