Jong Bhak

7.8k total citations
115 papers, 2.7k citations indexed

About

Jong Bhak is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Jong Bhak has authored 115 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Molecular Biology, 29 papers in Genetics and 13 papers in Ecology. Recurrent topics in Jong Bhak's work include Genomics and Phylogenetic Studies (27 papers), Epigenetics and DNA Methylation (10 papers) and RNA and protein synthesis mechanisms (9 papers). Jong Bhak is often cited by papers focused on Genomics and Phylogenetic Studies (27 papers), Epigenetics and DNA Methylation (10 papers) and RNA and protein synthesis mechanisms (9 papers). Jong Bhak collaborates with scholars based in South Korea, United States and United Kingdom. Jong Bhak's co-authors include Yun Sung Cho, Hak‐Min Kim, Sungwon Jeon, Daeui Park, Andrea Manica, Byung Chul Kim, JeHoon Jun, Seung Gu Park, Sunghoon Lee and Tae‐Jin Yang and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Jong Bhak

110 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jong Bhak South Korea 27 1.3k 577 349 348 191 115 2.7k
Ning Li China 43 2.5k 1.9× 2.3k 4.0× 653 1.9× 537 1.5× 462 2.4× 238 6.2k
David Gresham United States 32 3.0k 2.3× 1.5k 2.5× 180 0.5× 655 1.9× 177 0.9× 79 4.4k
Jingwen Bai China 5 2.7k 2.1× 336 0.6× 187 0.5× 349 1.0× 257 1.3× 6 4.4k
Mathias Walzer Germany 13 3.2k 2.4× 353 0.6× 199 0.6× 316 0.9× 268 1.4× 20 4.9k
Chakradhar Bandla United Kingdom 4 2.7k 2.1× 336 0.6× 187 0.5× 306 0.9× 257 1.3× 6 4.3k
Shengbo Wang United Kingdom 5 2.7k 2.1× 336 0.6× 186 0.5× 306 0.9× 257 1.3× 6 4.3k
Suresh Hewapathirana United Kingdom 2 2.7k 2.0× 335 0.6× 185 0.5× 307 0.9× 256 1.3× 6 4.3k
Selvakumar Kamatchinathan United Kingdom 3 2.7k 2.0× 335 0.6× 185 0.5× 306 0.9× 257 1.3× 5 4.3k
Deepti J Kundu United Kingdom 6 2.7k 2.1× 335 0.6× 188 0.5× 306 0.9× 263 1.4× 9 4.4k
Ananth Prakash United Kingdom 11 3.2k 2.4× 368 0.6× 209 0.6× 386 1.1× 327 1.7× 18 4.9k

Countries citing papers authored by Jong Bhak

Since Specialization
Citations

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

Fields of papers citing papers by Jong Bhak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jong Bhak

This figure shows the co-authorship network connecting the top 25 collaborators of Jong Bhak. A scholar is included among the top collaborators of Jong Bhak 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 Jong Bhak. Jong Bhak 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.
Kim, Jungeun, Jeonghoon Lee, Jong‐Soo Kang, et al.. (2025). Contributions of interspecific hybrids to genetic variability in Glycyrrhiza uralensis and G. glabra. Scientific Reports. 15(1). 8764–8764.
2.
Jeon, Yeonsu, Yeo Jin Kim, Sungwon Jeon, et al.. (2025). Epigenetic Modulation of Vascular Smooth Muscle Cell Phenotype Switching in Early-Onset Acute Myocardial Infarction. Arteriosclerosis Thrombosis and Vascular Biology. 45(6). e217–e230. 1 indexed citations
3.
Kim, Jungeun, Jung A Kim, Mi‐Sook Min, et al.. (2023). The complete mitochondrial genome of Rana coreana (Anura: Ranidae). SHILAP Revista de lepidopterología. 8(7). 742–745. 1 indexed citations
4.
5.
Chung, Oksung, Young Jun An, Jung‐Eun Kim, et al.. (2022). The Analyses of Cetacean Virus-Responsive Genes Reveal Evolutionary Marks in Mucosal Immunity-Associated Genes. Biochemical Genetics. 60(6). 2299–2312. 4 indexed citations
6.
7.
Her, Ae‐Young, Youngjune Bhak, Eun Jung Jun, et al.. (2021). A Clinical Risk Score to Predict In-hospital Mortality from COVID-19 in South Korea. Journal of Korean Medical Science. 36(15). e108–e108. 7 indexed citations
8.
Jeon, Sungwon, Asta Blažytė, Yeonsu Jeon, et al.. (2021). Regional TMPRSS2 V197M Allele Frequencies Are Correlated with COVID-19 Case Fatality Rates. Molecules and Cells. 44(9). 680–687. 9 indexed citations
9.
Jeon, Sungwon, Asta Blažytė, Yeonsu Jeon, et al.. (2021). Regional TMPRSS2 V197M Allele Frequencies Are Correlated with COVID-19 Case Fatality Rates.. Apollo (University of Cambridge). 1 indexed citations
10.
Weber, Jessica A., Seung Gu Park, Victor Luria, et al.. (2020). The whale shark genome reveals how genomic and physiological properties scale with body size. Proceedings of the National Academy of Sciences. 117(34). 20662–20671. 28 indexed citations
11.
Kim, Hyun‐Joo, Ae Kyung Park, Jaesung Lim, et al.. (2020). Detection of association between periodontitis and polymorphisms of IL‐1β + 3954 and TNF‐α ‐863 in the Korean population after controlling for confounding risk factors. Journal of Periodontal Research. 55(6). 905–917. 10 indexed citations
12.
Jeon, Yeonsu, Seung Gu Park, Jessica A. Weber, et al.. (2019). The Draft Genome of an Octocoral, Dendronephthya gigantea. Genome Biology and Evolution. 11(3). 949–953. 30 indexed citations
13.
Kim, Hui-Su, Sungwon Jeon, Yeon Kyung Kim, et al.. (2019). Chromosome-scale assembly comparison of the Korean Reference Genome KOREF from PromethION and PacBio with Hi-C mapping information. GigaScience. 8(12). 18 indexed citations
14.
Kim, Deok‐Soo, Youngsong Cho, Mokwon Lee, et al.. (2019). MGOS: A library for molecular geometry and its operating system. Computer Physics Communications. 251. 107101–107101. 2 indexed citations
15.
Siska, Veronika, Eppie R. Jones, Sungwon Jeon, et al.. (2017). Genome-wide data from two early Neolithic East Asian individuals dating to 7700 years ago. Science Advances. 3(2). e1601877–e1601877. 62 indexed citations
16.
Cho, Yun Sung, Hyunho Kim, Hak‐Min Kim, et al.. (2016). An ethnically relevant consensus Korean reference genome is a step towards personal reference genomes. Nature Communications. 7(1). 13637–13637. 41 indexed citations
17.
Ko, Young‐Joon, Eun Chan Yang, Jae‐Hak Lee, et al.. (2015). Characterization of cetacean Numt and its application into cetacean phylogeny. Genes & Genomics. 37(12). 1061–1071. 7 indexed citations
18.
Kim, Byoung-Chul, Hyoung Oh Jeong, Daeui Park, et al.. (2015). Profiling Age-Related Epigenetic Markers of Stomach Adenocarcinoma in Young and Old Subjects. SHILAP Revista de lepidopterología. 1 indexed citations
19.
Stehr, Henning, José M. Duarte, Michael Lappé, Jong Bhak, & Dan Bolser. (2010). PDBWiki: added value through community annotation of the Protein Data Bank. Database. 2010(0). baq009–baq009. 21 indexed citations
20.
Gong, Sungsam, Giwan Yoon, In Sock Jang, et al.. (2005). PSIbase: a database of Protein Structural Interactome map (PSIMAP). Computer applications in the biosciences. 21(10). 2541–2543. 71 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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