Ming-Chien Hsieh

656 total citations
11 papers, 524 citations indexed

About

Ming-Chien Hsieh is a scholar working on Molecular Biology, Biomaterials and Astronomy and Astrophysics. According to data from OpenAlex, Ming-Chien Hsieh has authored 11 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Biomaterials and 2 papers in Astronomy and Astrophysics. Recurrent topics in Ming-Chien Hsieh's work include Protein Structure and Dynamics (7 papers), Supramolecular Self-Assembly in Materials (6 papers) and Prion Diseases and Protein Misfolding (2 papers). Ming-Chien Hsieh is often cited by papers focused on Protein Structure and Dynamics (7 papers), Supramolecular Self-Assembly in Materials (6 papers) and Prion Diseases and Protein Misfolding (2 papers). Ming-Chien Hsieh collaborates with scholars based in United States, Russia and Taiwan. Ming-Chien Hsieh's co-authors include David G. Lynn, Martha A. Grover, Anil Mehta, W. Seth Childers, Keith M. Berland, Neil Anthony, Dibyendu Das, Ting Pan, Liang Chen and Julie A. Champion and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and The Journal of Physical Chemistry B.

In The Last Decade

Ming-Chien Hsieh

11 papers receiving 520 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming-Chien Hsieh United States 9 359 335 120 89 56 11 524
Wojciech P. Lipiński Netherlands 9 456 1.3× 194 0.6× 86 0.7× 116 1.3× 29 0.5× 13 732
Neil Anthony United States 6 263 0.7× 273 0.8× 117 1.0× 74 0.8× 51 0.9× 11 450
Lilach Vaks Israel 7 334 0.9× 198 0.6× 92 0.8× 69 0.8× 102 1.8× 9 560
Boris Rubinov Israel 8 283 0.8× 210 0.6× 126 1.1× 57 0.6× 14 0.3× 8 435
Agata Chotera‐Ouda Israel 6 207 0.6× 209 0.6× 83 0.7× 108 1.2× 8 0.1× 9 416
Ayan Chatterjee India 11 258 0.7× 309 0.9× 133 1.1× 105 1.2× 41 0.7× 15 452
Karina K. Nakashima Netherlands 8 521 1.5× 158 0.5× 77 0.6× 156 1.8× 4 0.1× 12 821
Christian M. Cole United States 12 848 2.4× 96 0.3× 607 5.1× 61 0.7× 13 0.2× 15 1.0k
Yuka Sakuma Japan 15 391 1.1× 91 0.3× 38 0.3× 41 0.5× 25 0.4× 30 498
Isaac Gállego Spain 14 396 1.1× 78 0.2× 61 0.5× 80 0.9× 5 0.1× 17 579

Countries citing papers authored by Ming-Chien Hsieh

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Chien Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Chien Hsieh. 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 Ming-Chien Hsieh. The network helps show where Ming-Chien Hsieh may publish in the future.

Co-authorship network of co-authors of Ming-Chien Hsieh

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

All Works

11 of 11 papers shown
1.
Tan, Junjun, Li Zhang, Ming-Chien Hsieh, et al.. (2021). Chemical control of peptide material phase transitions. Chemical Science. 12(8). 3025–3031. 11 indexed citations
2.
Grover, Martha A., Ming-Chien Hsieh, & David G. Lynn. (2019). Systems Analysis for Peptide Systems Chemistry. Life. 9(3). 55–55. 2 indexed citations
3.
Jang, Yeongseon, et al.. (2019). Understanding the Coacervate-to-Vesicle Transition of Globular Fusion Proteins to Engineer Protein Vesicle Size and Membrane Heterogeneity. Biomacromolecules. 20(9). 3494–3503. 46 indexed citations
4.
Wilson, Corey J., Andreas S. Bommarius, Julie A. Champion, et al.. (2018). Biomolecular Assemblies: Moving from Observation to Predictive Design. Chemical Reviews. 118(24). 11519–11574. 77 indexed citations
5.
Chen, Liang, et al.. (2018). Conformational evolution of polymorphic amyloid assemblies. Current Opinion in Structural Biology. 51. 135–140. 12 indexed citations
6.
Hsieh, Ming-Chien, Liang Chen, Anil Mehta, David G. Lynn, & Martha A. Grover. (2017). Multistep Conformation Selection in Amyloid Assembly. Journal of the American Chemical Society. 139(47). 17007–17010. 47 indexed citations
7.
Hsieh, Ming-Chien, W. Seth Childers, Dibyendu Das, et al.. (2017). Catalytic diversity in self-propagating peptide assemblies. Nature Chemistry. 9(8). 805–809. 193 indexed citations
8.
Taran, Olga, Ming-Chien Hsieh, Jay T. Goodwin, et al.. (2017). Expanding the informational chemistries of life: peptide/RNA networks. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 375(2109). 20160356–20160356. 15 indexed citations
9.
Hsieh, Ming-Chien, David G. Lynn, & Martha A. Grover. (2017). Kinetic Model for Two-Step Nucleation of Peptide Assembly. The Journal of Physical Chemistry B. 121(31). 7401–7411. 53 indexed citations
10.
Tan, Junjun, Ming-Chien Hsieh, Ting Pan, et al.. (2017). Design of multi-phase dynamic chemical networks. Nature Chemistry. 9(8). 799–804. 64 indexed citations
11.
Hsieh, Ming-Chien, et al.. (2010). High-level expression and purification of human γD-crystallin in Escherichia coli. Journal of the Taiwan Institute of Chemical Engineers. 42(4). 547–555. 4 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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2026