Namshik Han

2.7k total citations · 2 hit papers
32 papers, 1.9k citations indexed

About

Namshik Han is a scholar working on Molecular Biology, Cancer Research and Computational Theory and Mathematics. According to data from OpenAlex, Namshik Han has authored 32 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Computational Theory and Mathematics. Recurrent topics in Namshik Han's work include RNA modifications and cancer (7 papers), Cancer-related molecular mechanisms research (7 papers) and Computational Drug Discovery Methods (6 papers). Namshik Han is often cited by papers focused on RNA modifications and cancer (7 papers), Cancer-related molecular mechanisms research (7 papers) and Computational Drug Discovery Methods (6 papers). Namshik Han collaborates with scholars based in United Kingdom, United States and South Korea. Namshik Han's co-authors include Tony Kouzarides, Luca Pandolfini, Andrew J. Bannister, Konstantinos Tzelepis, Gonzalo Millán-Zambrano, Demetrios Aspris, Samuel C. Robson, Valentina Migliori, Alan G. Hendrick and Étienne De Braekeleer and has published in prestigious journals such as Nature, Nucleic Acids Research and Molecular Cell.

In The Last Decade

Namshik Han

28 papers receiving 1.8k citations

Hit Papers

Promoter-bound METTL3 maintains myeloid leukaemia by m6A-... 2017 2026 2020 2023 2017 2020 250 500 750

Peers

Namshik Han
Marijke Baltissen Netherlands
Jesse M. Platt United States
Xiang Hu China
Nadine S. Jahchan United States
Marieke van de Ven Netherlands
Rong Cai China
Marijke Baltissen Netherlands
Namshik Han
Citations per year, relative to Namshik Han Namshik Han (= 1×) peers Marijke Baltissen

Countries citing papers authored by Namshik Han

Since Specialization
Citations

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

Fields of papers citing papers by Namshik Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Namshik Han

This figure shows the co-authorship network connecting the top 25 collaborators of Namshik Han. A scholar is included among the top collaborators of Namshik Han 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 Namshik Han. Namshik Han 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, Young-Ho, Jong-Kwang Kim, Hyewon Choi, et al.. (2025). Evaluation of false positive and false negative errors in targeted next generation sequencing. Genome biology. 26(1). 409–409.
2.
Kim, Young-Ho, Jong-Kwang Kim, Hyewon Choi, et al.. (2024). Enhancing Clinical Applications by Evaluation of Sensitivity and Specificity in Whole Exome Sequencing. International Journal of Molecular Sciences. 25(24). 13250–13250.
4.
Tsagkogeorga, Georgia, Helena Santos-Rosa, Andrej Alendar, et al.. (2022). Predicting genes associated with RNA methylation pathways using machine learning. Communications Biology. 5(1). 868–868. 6 indexed citations
5.
Hwang, Woochang, et al.. (2022). dialogi: Utilising NLP With Chemical and Disease Similarities to Drive the Identification of Drug-Induced Liver Injury Literature. Frontiers in Genetics. 13. 894209–894209. 2 indexed citations
6.
Hwang, Woochang, et al.. (2022). DILIC: An AI-Based Classifier to Search for Drug-Induced Liver Injury Literature. Frontiers in Genetics. 13. 867946–867946. 6 indexed citations
7.
Hwang, Woochang, et al.. (2022). Computational Discovery of Cancer Immunotherapy Targets by Intercellular CRISPR Screens. Frontiers in Immunology. 13. 884561–884561. 3 indexed citations
8.
Han, Namshik, Woochang Hwang, Konstantinos Tzelepis, et al.. (2021). Identification of SARS-CoV-2–induced pathways reveals drug repurposing strategies. Science Advances. 7(27). 33 indexed citations
9.
Santos-Rosa, Helena, Gonzalo Millán-Zambrano, Namshik Han, et al.. (2021). Methylation of histone H3 at lysine 37 by Set1 and Set2 prevents spurious DNA replication. Molecular Cell. 81(13). 2793–2807.e8. 19 indexed citations
10.
Hwang, Woochang, et al.. (2021). Current and prospective computational approaches and challenges for developing COVID-19 vaccines. Advanced Drug Delivery Reviews. 172. 249–274. 32 indexed citations
11.
Hwang, Woochang & Namshik Han. (2021). Identification of potential pan-coronavirus therapies using a computational drug repurposing platform. Methods. 203. 214–225. 2 indexed citations
12.
Bramhall, Michael, Ajanta Chakraborty, Larisa Logunova, et al.. (2019). Differential Expression of Soluble Receptor for Advanced Glycation End-products in Mice Susceptible or Resistant to Chronic Colitis. Inflammatory Bowel Diseases. 26(3). 360–368. 8 indexed citations
13.
Lee, Hyung Chul, Donghee Kang, Namshik Han, et al.. (2019). A novel long noncoding RNA Linc-ASEN represses cellular senescence through multileveled reduction of p21 expression. Cell Death and Differentiation. 27(6). 1844–1861. 27 indexed citations
14.
Amaral, Paulo, Tommaso Leonardi, Namshik Han, et al.. (2018). Genomic positional conservation identifies topological anchor point RNAs linked to developmental loci. Genome biology. 19(1). 32–32. 93 indexed citations
15.
Barbieri, Isaia, Konstantinos Tzelepis, Luca Pandolfini, et al.. (2017). Promoter-bound METTL3 maintains myeloid leukaemia by m6A-dependent translation control. Nature. 552(7683). 126–131. 815 indexed citations breakdown →
16.
Han, Namshik, Harry Noyes, & Andy Brass. (2017). TIGERi: modeling and visualizing the responses to perturbation of a transcription factor network. BMC Bioinformatics. 18(S7). 260–260. 1 indexed citations
17.
Ji, Zongling, Hisham Mohammed, Jenna Ridsdale, et al.. (2014). The forkhead transcription factor FOXK2 acts as a chromatin targeting factor for the BAP1-containing histone deubiquitinase complex. Nucleic Acids Research. 42(10). 6232–6242. 63 indexed citations
18.
Darieva, Zoulfia, et al.. (2012). Protein Kinase C Regulates Late Cell Cycle-Dependent Gene Expression. Molecular and Cellular Biology. 32(22). 4651–4661. 20 indexed citations
19.
Chen, Xi, Gerd A. Müller, Marianne Quaas, et al.. (2012). The Forkhead Transcription Factor FOXM1 Controls Cell Cycle-Dependent Gene Expression through an Atypical Chromatin Binding Mechanism. Molecular and Cellular Biology. 33(2). 227–236. 185 indexed citations
20.
McMaster, Andrew, Maryam Jangani, Paula Sommer, et al.. (2011). Ultradian Cortisol Pulsatility Encodes a Distinct, Biologically Important Signal. PLoS ONE. 6(1). e15766–e15766. 38 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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