Minjeong Cha

984 total citations
19 papers, 800 citations indexed

About

Minjeong Cha is a scholar working on Molecular Biology, Electronic, Optical and Magnetic Materials and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Minjeong Cha has authored 19 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Electronic, Optical and Magnetic Materials and 4 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Minjeong Cha's work include Metamaterials and Metasurfaces Applications (5 papers), Nanomaterials and Printing Technologies (2 papers) and Transition Metal Oxide Nanomaterials (2 papers). Minjeong Cha is often cited by papers focused on Metamaterials and Metasurfaces Applications (5 papers), Nanomaterials and Printing Technologies (2 papers) and Transition Metal Oxide Nanomaterials (2 papers). Minjeong Cha collaborates with scholars based in United States, South Korea and Brazil. Minjeong Cha's co-authors include Nicholas A. Kotov, André Farias de Moura, Mahshid Chekini, Jihyeon Yeom, Ji‐Young Kim, Won Jin Choi, Sanghun Cho, Kyung‐Tae Kang, Mingyu Kang and Sooncheol Jeong and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Minjeong Cha

17 papers receiving 788 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Minjeong Cha United States 10 337 287 276 191 111 19 800
Omri Bar‐Elli Israel 11 345 1.0× 429 1.5× 288 1.0× 347 1.8× 80 0.7× 13 841
Palash Gangopadhyay United States 19 291 0.9× 283 1.0× 185 0.7× 329 1.7× 53 0.5× 48 830
Itai Lieberman Belgium 15 543 1.6× 506 1.8× 263 1.0× 255 1.3× 138 1.2× 35 960
Volker Scheumann Germany 13 279 0.8× 203 0.7× 191 0.7× 113 0.6× 106 1.0× 19 633
Wen Hu United States 14 194 0.6× 276 1.0× 154 0.6× 170 0.9× 60 0.5× 19 698
Yu‐Chueh Hung Taiwan 15 345 1.0× 314 1.1× 139 0.5× 205 1.1× 96 0.9× 67 827
Chang Yun Son South Korea 17 288 0.9× 171 0.6× 140 0.5× 62 0.3× 144 1.3× 36 839
Vasile Paraschiv Belgium 17 469 1.4× 225 0.8× 131 0.5× 84 0.4× 45 0.4× 70 744
Noritaka Kato Japan 14 114 0.3× 264 0.9× 138 0.5× 226 1.2× 155 1.4× 40 792
Kiseok Chang United States 9 272 0.8× 593 2.1× 444 1.6× 594 3.1× 214 1.9× 10 1.3k

Countries citing papers authored by Minjeong Cha

Since Specialization
Citations

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

Fields of papers citing papers by Minjeong Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minjeong Cha

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

All Works

19 of 19 papers shown
1.
Cha, Minjeong, et al.. (2025). Predicting purification process fit of monoclonal antibodies using machine learning. mAbs. 17(1). 2439988–2439988.
2.
Cha, Minjeong, et al.. (2024). Graph‐theoretical chirality measure and chirality–property relations for chemical structures with multiscale mirror asymmetries. Chirality. 36(6). e23678–e23678. 6 indexed citations
3.
Kim, Ji‐Young, Minjeong Cha, Emine Sumeyra Turali Emre, et al.. (2024). Direct-write 3D printing of plasmonic nanohelicoids by circularly polarized light. Proceedings of the National Academy of Sciences. 121(11). e2312082121–e2312082121. 13 indexed citations
4.
Kang, Yoon‐Tae, Ji‐Young Kim, Emine Sumeyra Turali Emre, et al.. (2024). Chiroptical detection and mutation analysis of cancer-associated extracellular vesicles using microfluidics with oriented chiral nanoparticles. Matter. 7(12). 4373–4389. 8 indexed citations
5.
Choi, Won Jin, Sang Hyun Lee, Minjeong Cha, & Nicholas A. Kotov. (2024). Chiral Kirigami for Bend‐Tolerant Reconfigurable Hologram with Continuously Variable Chirality Measures. Advanced Materials. 36(30). e2401131–e2401131. 9 indexed citations
6.
Cha, Minjeong, et al.. (2024). Structural study of a light chain mispaired bispecific predicts mechanism of downstream separation. Journal of Chromatography A. 1730. 465117–465117. 1 indexed citations
7.
Xu, Xinxin, Prashant Kumar, Ye Liu, et al.. (2024). Tapered chiral nanoparticles as broad-spectrum thermally stable antivirals for SARS-CoV-2 variants. Proceedings of the National Academy of Sciences. 121(13). e2310469121–e2310469121. 4 indexed citations
8.
Kumar, Prashant, Thi Vo, Minjeong Cha, et al.. (2023). Photonically active bowtie nanoassemblies with chirality continuum. Nature. 615(7952). 418–424. 115 indexed citations
9.
Shao, Xiao, Cheng Zhu, Prashant Kumar, et al.. (2023). Voltage‐Modulated Untwist Deformations and Multispectral Optical Effects from Ion Intercalation into Chiral Ceramic Nanoparticles (Adv. Mater. 16/2023). Advanced Materials. 35(16). 3 indexed citations
10.
Shao, Xiao, Cheng Zhu, Prashant Kumar, et al.. (2023). Voltage‐Modulated Untwist Deformations and Multispectral Optical Effects from Ion Intercalation into Chiral Ceramic Nanoparticles. Advanced Materials. 35(16). e2206956–e2206956. 6 indexed citations
11.
Choi, Won Jin, Keiichi Yano, Minjeong Cha, et al.. (2022). Chiral phonons in microcrystals and nanofibrils of biomolecules. Nature Photonics. 16(5). 366–373. 82 indexed citations
12.
Cha, Minjeong, Emine Sumeyra Turali Emre, Xiongye Xiao, et al.. (2022). Unifying structural descriptors for biological and bioinspired nanoscale complexes. Nature Computational Science. 2(4). 243–252. 38 indexed citations
14.
Yeom, Jihyeon, et al.. (2018). Chiromagnetic nanoparticles and gels. Science. 359(6373). 309–314. 250 indexed citations
15.
Nam, Minwoo, Minjeong Cha, Hyun Hwi Lee, et al.. (2017). Long-term efficient organic photovoltaics based on quaternary bulk heterojunctions. Nature Communications. 8(1). 71 indexed citations
16.
Nam, Minwoo, Sung‐Nam Kwon, Minjeong Cha, et al.. (2016). Multi‐Functional Transparent Luminescent Configuration for Advanced Photovoltaics. Advanced Energy Materials. 6(10). 10 indexed citations
17.
Cha, Minjeong, et al.. (2015). Low-Temperature, Dry Transfer-Printing of a Patterned Graphene Monolayer. Scientific Reports. 5(1). 17877–17877. 20 indexed citations
18.
Shin, Dong‐Hun, Seunghee Woo, Minjeong Cha, et al.. (2014). A Self-Reducible and Alcohol-Soluble Copper-Based Metal–Organic Decomposition Ink for Printed Electronics. ACS Applied Materials & Interfaces. 6(5). 3312–3319. 155 indexed citations
19.
Zhang, Wen, et al.. (2009). The Relationship between Teaching Presence and Self-Directed Learning Readiness in e-Learning Environment. EdMedia: World Conference on Educational Media and Technology. 2009(1). 3033–3041. 1 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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