Ming-Chien Hsieh

656 citations
11 papers · 524 indexed · h-index 9
Topics
Protein Structure and Dynamics (7 papers)Supramolecular Self-Assembly in Materials (6 papers)Bacteriophages and microbial interactions (2 papers)

In The Last Decade

Ming-Chien Hsieh

11 papers receiving 520 citations

Peers

Ming-Chien Hsieh
Comparison fields: 5 of 59
  • Molecular Biology 359
  • Biomaterials 335
  • Organic Chemistry 120
  • Materials Chemistry 89
  • Physiology 56
Replace Neil Anthony with:
Neil Anthony United States
Wojciech P. Lipiński Netherlands
Ayan Chatterjee India
Daniela Kroiss United States
Agata Chotera‐Ouda Israel
Lilach Vaks Israel
Karina K. Nakashima Netherlands
Boris Rubinov Israel
Alan J. Kennan United States
Erik B. Hadley United States
Ming-Chien Hsieh relative to Neil Anthony United States Neil Anthony's profile →
Citations per field
00.5×1.7×
Neil Anthony · 1×
Citations per year

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
#WorkIndexed citations
1 11
2 2
3 46
4 77
5 12
6 64
7 15
8 53
9 193
10 47
11 4

About Ming-Chien Hsieh

Ming-Chien Hsieh is a scholar working on Biomaterials, Biophysics and Molecular Biology, having authored 11 papers that have together received 524 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Supramolecular Self-Assembly in Materials (6 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Biomaterials (335 citations), Molecular Biology (359 citations) and Organic Chemistry (120 citations). Ming-Chien Hsieh has collaborated with scholars based in United States, Russia and Taiwan. Frequent co-authors include David G. Lynn, Martha A. Grover, Anil Mehta, W. Seth Childers, Neil Anthony, Ting Pan, Keith M. Berland, Dibyendu Das, Liang Chen and Julie A. Champion. Their work appears in journals such as Chemical Reviews, Journal of the American Chemical Society and The Journal of Physical Chemistry B.

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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