Min-Joon Han

1.1k total citations
11 papers, 843 citations indexed

About

Min-Joon Han is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Geriatrics and Gerontology. According to data from OpenAlex, Min-Joon Han has authored 11 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Geriatrics and Gerontology. Recurrent topics in Min-Joon Han's work include Pluripotent Stem Cells Research (4 papers), Mitochondrial Function and Pathology (3 papers) and CRISPR and Genetic Engineering (2 papers). Min-Joon Han is often cited by papers focused on Pluripotent Stem Cells Research (4 papers), Mitochondrial Function and Pathology (3 papers) and CRISPR and Genetic Engineering (2 papers). Min-Joon Han collaborates with scholars based in United States, South Korea and Germany. Min-Joon Han's co-authors include Kwang‐Soo Kim, Róbert Langer, Janet Zoldan, Andrea Adamo, Abigail K. R. Lytton‐Jean, Jeon Woong Kang, Klavs F. Jensen, George C. Hartoularos, Armon Sharei and Siddharth Jhunjhunwala and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Nature Cell Biology.

In The Last Decade

Min-Joon Han

11 papers receiving 833 citations

Peers

Min-Joon Han

CMN

EPIDE

ONCOL

Aparna Lakkaraju United States

Pengli Zheng China

Chun‐Wei Hsu United States

Chris Gordon United States

Heather M. Ames United States

Yong Hong Chen United States

Winson S. Ho United States

Fabien Kuttler Switzerland

Brian Armstrong United States

Aparna Lakkaraju United States

Min-Joon Han

1.3k ×2.6

82 ×0.3

144 ×0.8

CMN

124 ×1.2

EPIDE

55 ×0.6

ONCOL

Citations per year, relative to Min-Joon Han Min-Joon Han (= 1×) peers Aparna Lakkaraju

Countries citing papers authored by Min-Joon Han

Since Specialization

Citations

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

Fields of papers citing papers by Min-Joon Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min-Joon Han

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

All Works

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11 of 11 papers shown

Shin, Sejeong, Min-Joon Han, Mark P. Jedrychowski, et al.. (2023). mTOR inhibition reprograms cellular proteostasis by regulating eIF3D-mediated selective mRNA translation and promotes cell phenotype switching. Cell Reports. 42(8). 112868–112868. 16 indexed citations

Han, Min-Joon, et al.. (2020). Generation of human induced pluripotent stem cells (hIPSCs) from sialidosis types I and II patients with pathogenic neuraminidase 1 mutations. Stem Cell Research. 46. 101836–101836. 4 indexed citations

Annunziata, Ida, Diantha van de Vlekkert, Elmar Wolf, et al.. (2019). MYC competes with MiT/TFE in regulating lysosomal biogenesis and autophagy through an epigenetic rheostat. Nature Communications. 10(1). 3623–3623. 73 indexed citations

Qi, Qian, et al.. (2019). The primitive growth factor NME7AB induces mitochondrially active naïve-like pluripotent stem cells. Biochemistry and Biophysics Reports. 20. 100656–100656. 2 indexed citations

Cho, Ji‐Hoon, Qian Qi, Jennifer L. Peters, et al.. (2019). Metabolic switching in pluripotent stem cells reorganizes energy metabolism and subcellular organelles. Experimental Cell Research. 379(1). 55–64. 2 indexed citations

Shin, Sejeong, Gwen R. Buel, Michal J. Nagiec, et al.. (2019). ERK2 regulates epithelial-to-mesenchymal plasticity through DOCK10-dependent Rac1/FoxO1 activation. Proceedings of the National Academy of Sciences. 116(8). 2967–2976. 62 indexed citations

Cha, Young, Min-Joon Han, Hyuk‐Jin Cha, et al.. (2017). Metabolic control of primed human pluripotent stem cell fate and function by the miR-200c–SIRT2 axis. Nature Cell Biology. 19(5). 445–456. 136 indexed citations

Han, Min-Joon, et al.. (2017). Purification of functional reprogramming factors in mammalian cell using FLAG -Tag. Biochemical and Biophysical Research Communications. 492(2). 154–160. 4 indexed citations

Kwon, Ok‐Seon, Min-Joon Han, & Hyuk‐Jin Cha. (2017). Suppression of SIRT2 and altered acetylation status of human pluripotent stem cells: possible link to metabolic switch during reprogramming. BMB Reports. 50(9). 435–436. 5 indexed citations

10.

Kim, Chun‐Hyung, Baek‐Soo Han, Jisook Moon, et al.. (2015). Nuclear receptor Nurr1 agonists enhance its dual functions and improve behavioral deficits in an animal model of Parkinson’s disease. Proceedings of the National Academy of Sciences. 112(28). 8756–8761. 151 indexed citations

11.

Sharei, Armon, Janet Zoldan, Andrea Adamo, et al.. (2013). A vector-free microfluidic platform for intracellular delivery. Proceedings of the National Academy of Sciences. 110(6). 2082–2087. 388 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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