Tae-Hee Han

1.3k total citations · 1 hit paper
28 papers, 1.1k citations indexed

About

Tae-Hee Han is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Tae-Hee Han has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Immunology and 5 papers in Oncology. Recurrent topics in Tae-Hee Han's work include Microbial Metabolic Engineering and Bioproduction (5 papers), interferon and immune responses (4 papers) and Enzyme Catalysis and Immobilization (4 papers). Tae-Hee Han is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (5 papers), interferon and immune responses (4 papers) and Enzyme Catalysis and Immobilization (4 papers). Tae-Hee Han collaborates with scholars based in South Korea, United States and Germany. Tae-Hee Han's co-authors include Ron Prywes, Sang Yup Lee, Gi Bae Kim, Jong An Lee, Yoo‐Sung Ko, Je Woong Kim, William W. Lamph, Jin‐Hyun Ahn, So‐Jung Choi and Youngwook Ahn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Chemical Society Reviews and Nature Communications.

In The Last Decade

Tae-Hee Han

27 papers receiving 1.0k citations

Hit Papers

Tools and strategies of systems metabolic engineering for... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tae-Hee Han South Korea 15 779 182 109 101 100 28 1.1k
Jong-Young Kwak South Korea 17 487 0.6× 253 1.4× 88 0.8× 115 1.1× 53 0.5× 32 1.1k
Ole C. Hansen Denmark 15 697 0.9× 99 0.5× 58 0.5× 165 1.6× 144 1.4× 17 1.3k
Arnold Kristjuhan Estonia 17 1.1k 1.4× 76 0.4× 49 0.4× 128 1.3× 105 1.1× 32 1.4k
Wayne Chou United States 26 1.2k 1.6× 189 1.0× 67 0.6× 217 2.1× 154 1.5× 35 1.8k
Caroline Weinstein‐Oppenheimer Chile 20 552 0.7× 135 0.7× 97 0.9× 249 2.5× 55 0.6× 36 1.1k
Hisao Moriya Japan 23 1.3k 1.6× 148 0.8× 103 0.9× 83 0.8× 158 1.6× 61 1.8k
Xiaolin Zhang China 19 546 0.7× 141 0.8× 55 0.5× 102 1.0× 107 1.1× 34 882
Hao Peng China 23 913 1.2× 83 0.5× 119 1.1× 66 0.7× 88 0.9× 127 1.8k
Mahboobeh Nazari Iran 18 735 0.9× 116 0.6× 82 0.8× 53 0.5× 143 1.4× 69 1.1k
Debora Russo Italy 22 425 0.5× 173 1.0× 78 0.7× 201 2.0× 56 0.6× 52 1.4k

Countries citing papers authored by Tae-Hee Han

Since Specialization
Citations

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

Fields of papers citing papers by Tae-Hee Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tae-Hee Han

This figure shows the co-authorship network connecting the top 25 collaborators of Tae-Hee Han. A scholar is included among the top collaborators of Tae-Hee 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 Tae-Hee Han. Tae-Hee 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.
Bhatia, Shashi Kant, Saurabh Bhatia, María Eugenia Inda, et al.. (2024). Biotechnology for sustainable materials: innovating today for a greener tomorrow. Repository@Nottingham (University of Nottingham). 1(1). 1 indexed citations
2.
Han, Tae-Hee, et al.. (2024). Gene expression modulation tools for bacterial synthetic biology. 1(1). 6 indexed citations
3.
Cho, Jae Sung, Dongsoo Yang, Cindy Pricilia Surya Prabowo, et al.. (2023). Targeted and high-throughput gene knockdown in diverse bacteria using synthetic sRNAs. Nature Communications. 14(1). 2359–2359. 36 indexed citations
4.
Han, Tae-Hee, et al.. (2023). Recent advances in systems metabolic engineering. Current Opinion in Biotechnology. 84. 103004–103004. 24 indexed citations
5.
Han, Tae-Hee & Sang Yup Lee. (2023). Metabolic engineering of Corynebacterium glutamicum for the high-level production of valerolactam, a nylon-5 monomer. Metabolic Engineering. 79. 78–85. 14 indexed citations
6.
Ko, Yoo‐Sung, Je Woong Kim, Jong An Lee, et al.. (2020). Tools and strategies of systems metabolic engineering for the development of microbial cell factories for chemical production. Chemical Society Reviews. 49(14). 4615–4636. 325 indexed citations breakdown →
8.
Li, Yan, et al.. (2016). Novel Functional Properties of Drosophila CNS Glutamate Receptors. Neuron. 92(5). 1036–1048. 38 indexed citations
9.
Kim, Young-Eui, et al.. (2014). Biphasic regulation of A20 gene expression during human cytomegalovirus infection. Virology Journal. 11(1). 124–124. 6 indexed citations
10.
Han, Tae-Hee, et al.. (2011). Regulation of TGF-β signaling by PKC depends on Tsc-22 inducibility. Molecular and Cellular Biochemistry. 360(1-2). 47–50. 6 indexed citations
11.
Franke, Daniel, et al.. (2009). Structural and functional characterization of soluble endoglin receptor. Biochemical and Biophysical Research Communications. 383(4). 386–391. 16 indexed citations
12.
Kim, Young-Eui, et al.. (2005). Requirement of the coiled-coil domain of PML-RARα oncoprotein for localization, sumoylation, and inhibition of monocyte differentiation. Biochemical and Biophysical Research Communications. 330(3). 746–754. 11 indexed citations
13.
Choi, So‐Jung, et al.. (2005). Tsc-22 enhances TGF-? signaling by associating with Smad4 and induces erythroid cell differentiation. Molecular and Cellular Biochemistry. 271(1-2). 23–28. 45 indexed citations
14.
Sung, Young Hoon, Bongkun Choi, Jae‐Hong Kim, et al.. (2005). Hematopoietic malignancies associated with increased Stat5 and Bcl-xL expressions in Ink4a/Arf-deficient mice. Mechanisms of Ageing and Development. 126(6-7). 732–739. 4 indexed citations
15.
Choi, Eun Kyung, Kenneth P. Roberts, Robert J. Griffin, et al.. (2004). Effect of pH on radiation-induced p53 expression. International Journal of Radiation Oncology*Biology*Physics. 60(4). 1264–1271. 13 indexed citations
16.
Kie, Jeong Hae, Kyu-Hyung Ryu, Wen‐Sheng Chung, et al.. (2002). Megakaryothrombopoiesis During Ex Vivo Expansion of Human Cord Blood CD34+ Cells Using Thrombopoietin. Scandinavian Journal of Immunology. 55(1). 88–95. 8 indexed citations
17.
Park, So-Youn, et al.. (2002). Synergistic interaction of MEF2D and Sp1 in activation of the CD14 promoter. Molecular Immunology. 39(1-2). 25–30. 13 indexed citations
18.
Han, Tae-Hee, et al.. (1999). CD28-mediated regulation of the c-jun promoter involves the MEF2 transcription factor in Jurkat T cells. Molecular Immunology. 36(3). 197–203. 12 indexed citations
19.
Han, Tae-Hee & Ron Prywes. (1995). Regulatory Role of MEF2D in Serum Induction of the c- jun Promoter. Molecular and Cellular Biology. 15(6). 2907–2915. 167 indexed citations
20.
Han, Tae-Hee, William W. Lamph, & Ron Prywes. (1992). Mapping of epidermal growth factor-, serum-, and phorbol ester-responsive sequence elements in the c-jun promoter.. Molecular and Cellular Biology. 12(10). 4472–4477. 95 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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