Dong‐Ho Han

4.7k total citations
90 papers, 3.8k citations indexed

About

Dong‐Ho Han is a scholar working on Electrical and Electronic Engineering, Physiology and Molecular Biology. According to data from OpenAlex, Dong‐Ho Han has authored 90 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Electrical and Electronic Engineering, 28 papers in Physiology and 27 papers in Molecular Biology. Recurrent topics in Dong‐Ho Han's work include Adipose Tissue and Metabolism (27 papers), Metabolism, Diabetes, and Cancer (20 papers) and Electromagnetic Compatibility and Noise Suppression (19 papers). Dong‐Ho Han is often cited by papers focused on Adipose Tissue and Metabolism (27 papers), Metabolism, Diabetes, and Cancer (20 papers) and Electromagnetic Compatibility and Noise Suppression (19 papers). Dong‐Ho Han collaborates with scholars based in United States, South Korea and Taiwan. Dong‐Ho Han's co-authors include John O. Holloszy, David C. Wright, Paige C. Geiger, Terry E. Jones, Lorraine A. Nolte, May Chen, Chad R. Hancock, Pablo M. García-Rovés, Polly A. Hansen and Shin Terada and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Dong‐Ho Han

88 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dong‐Ho Han United States 28 2.3k 2.0k 842 438 409 90 3.8k
Natalie Hiscock Denmark 24 1.9k 0.8× 1.1k 0.5× 1.0k 1.2× 179 0.4× 639 1.6× 32 3.4k
Michael J. M. Fischer Germany 43 1.7k 0.7× 1.0k 0.5× 308 0.4× 429 1.0× 106 0.3× 155 5.3k
Guoheng Xu China 33 1.4k 0.6× 1.4k 0.7× 448 0.5× 512 1.2× 561 1.4× 79 3.7k
Tsutomu Wada Japan 33 572 0.2× 1.4k 0.7× 225 0.3× 433 1.0× 437 1.1× 171 3.5k
Kun Xiong China 34 466 0.2× 1.8k 0.9× 312 0.4× 193 0.4× 235 0.6× 148 3.5k
Takeshi Hashimoto Japan 27 879 0.4× 671 0.3× 339 0.4× 163 0.4× 146 0.4× 115 2.8k
Jiankun Cui United States 33 1.2k 0.5× 3.2k 1.6× 312 0.4× 174 0.4× 673 1.6× 86 6.1k
David Bendahan France 35 756 0.3× 1.2k 0.6× 600 0.7× 337 0.8× 132 0.3× 203 3.8k
Francisco Altamirano United States 26 459 0.2× 1.0k 0.5× 181 0.2× 168 0.4× 152 0.4× 43 2.1k
Qiping Chen China 20 1.5k 0.6× 1.2k 0.6× 294 0.3× 79 0.2× 196 0.5× 106 4.1k

Countries citing papers authored by Dong‐Ho Han

Since Specialization
Citations

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

Fields of papers citing papers by Dong‐Ho Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dong‐Ho Han

This figure shows the co-authorship network connecting the top 25 collaborators of Dong‐Ho Han. A scholar is included among the top collaborators of Dong‐Ho 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 Dong‐Ho Han. Dong‐Ho 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.
Lee, Pyeong‐Yeon, Dong‐Ho Han, & Jonghoon Kim. (2025). High-accuracy cell discrimination based on multiple regression combined with k-means clustering algorithm for lithium-ion rechargeable cells. Journal of Power Electronics. 25(4). 709–723.
2.
Han, Dong‐Ho, et al.. (2024). An ICA-Based Adaboost GRU Ensemble Model for Estimating SOH of Secondlife-Battery. The Transactions of the Korean Institute of Power Electronics. 29(4). 292–299. 1 indexed citations
3.
Han, Dong‐Ho, et al.. (2024). XRMan: Towards Real-time Hand-Object Pose Tracking in eXtended Reality. 1575–1577. 1 indexed citations
4.
5.
Lee, Mi-Young, Dong‐Ho Han, Kisoo Yoo, & Jonghoon Kim. (2023). Impedance technique combined with supervised algorithms-based internal degradation state classification and its economic analysis for safety in retired battery pack. Journal of Energy Storage. 73. 109037–109037. 2 indexed citations
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9.
Weng, Tsui-Wei, Chung-Hao Tsai, Chung‐Hao Chen, Dong‐Ho Han, & Tzong‐Lin Wu. (2014). Synthesis Model and Design of a Common-Mode Bandstop Filter (CM-BSF) With an All-Pass Characteristic for High-Speed Differential Signals. IEEE Transactions on Microwave Theory and Techniques. 62(8). 1647–1656. 57 indexed citations
10.
Han, Dong‐Ho, et al.. (2011). A Study on the Utilization Improvements by Function Analysis of the Construction CALS. 31(3). 441–450. 1 indexed citations
11.
Hancock, Chad R., Dong‐Ho Han, May Chen, et al.. (2008). High-fat diets cause insulin resistance despite an increase in muscle mitochondria. Proceedings of the National Academy of Sciences. 105(22). 7815–7820. 436 indexed citations
12.
Geiger, Paige C., Chad R. Hancock, David C. Wright, Dong‐Ho Han, & John O. Holloszy. (2007). IL-6 increases muscle insulin sensitivity only at superphysiological levels. American Journal of Physiology-Endocrinology and Metabolism. 292(6). E1842–E1846. 30 indexed citations
13.
Herrero, Pilar, Carmen S. Dence, Bruce W. Patterson, et al.. (2007). PET Measurements of Myocardial Glucose Metabolism with 1-11C-Glucose and Kinetic Modeling. Journal of Nuclear Medicine. 48(6). 955–964. 24 indexed citations
14.
Wright, David C., Paige C. Geiger, Dong‐Ho Han, Terry E. Jones, & John O. Holloszy. (2007). Calcium Induces Increases in Peroxisome Proliferator-activated Receptor γ Coactivator-1α and Mitochondrial Biogenesis by a Pathway Leading to p38 Mitogen-activated Protein Kinase Activation. Journal of Biological Chemistry. 282(26). 18793–18799. 254 indexed citations
15.
Otani, Kenichi, Kenneth S. Polonsky, John O. Holloszy, & Dong‐Ho Han. (2006). Inhibition of calpain results in impaired contraction-stimulated GLUT4 translocation in skeletal muscle. American Journal of Physiology-Endocrinology and Metabolism. 291(3). E544–E548. 10 indexed citations
16.
Wright, David C., Dong‐Ho Han, Pablo M. García-Rovés, et al.. (2006). Exercise-induced Mitochondrial Biogenesis Begins before the Increase in Muscle PGC-1α Expression. Journal of Biological Chemistry. 282(1). 194–199. 391 indexed citations
17.
Terada, Shin, et al.. (2005). PPARδ activator GW-501516 has no acute effect on glucose transport in skeletal muscle. American Journal of Physiology-Endocrinology and Metabolism. 290(4). E607–E611. 28 indexed citations
18.
Wright, David C., Paige C. Geiger, Dong‐Ho Han, & John O. Holloszy. (2005). Are tyrosine kinases involved in mediating contraction-stimulated muscle glucose transport?. American Journal of Physiology-Endocrinology and Metabolism. 290(1). E123–E128. 17 indexed citations
19.
Kawanaka, Kentaro, Dong‐Ho Han, Jiaping Gao, Lorraine A. Nolte, & John O. Holloszy. (2001). Development of Glucose-induced Insulin Resistance in Muscle Requires Protein Synthesis. Journal of Biological Chemistry. 276(23). 20101–20107. 34 indexed citations
20.
Han, Dong‐Ho, et al.. (1998). DHEA Treatment Reduces Fat Accumulation and Protects Against Insulin Resistance in Male Rats. The Journals of Gerontology Series A. 53A(1). B19–B24. 56 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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