Peter Chung

2.4k citations
42 papers · 1.9k · h-index 18

Impact in

    • Electrospun Nanofibers in Biomedical Applications
    • Calcium Carbonate Crystallization and Inhibition
    • Hydrogels: synthesis, properties, applications

Papers in

Peter Chung

41 papers receiving 1.9k citations

Peers

Peter Chung
Comparison fields: 5 of 121
  • Biomaterials 480
  • Molecular Medicine 162
  • Automotive Engineering 380
  • Biomedical Engineering 980
  • Paleontology 138
Replace Haiyi Liang with:
Haiyi Liang China
Richard Weinkamer Germany
Wolfgang Wagermaier Germany
Eric Schaible United States
Franck J. Vernerey United States
Maximilien E. Launey United States
Yasuaki Seki United States
Jinhui Tao United States
Richard J. Williams Australia
Himadri S. Gupta United Kingdom
Peter Chung relative to Haiyi Liang China Haiyi Liang's profile →
Citations per field
00.5×10.6×
Haiyi Liang · 1×
Citations per year

Countries citing papers authored by Peter Chung

Since Specialization
Citations

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

Fields of papers citing papers by Peter Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter Chung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter Chung Line = papers co-authored together Peter Chung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004297
2 2015254
3 2013182
4 2013163
5 2013134
6 2004127
7 2020105
8 201582
9 201675
10 201659
11 200849
12 201744
13 201742
14 201142
15 201541
16 201426
17 201918
18 201718
19 200917
20 201916

About Peter Chung

Peter Chung is a scholar working on Biomaterials, Biomedical Engineering, Paleontology, Geophysics and Automotive Engineering, having authored 42 papers that have together received 1.9k indexed citations. Recurring topics across this work include Calcium Carbonate Crystallization and Inhibition (9 papers), Paleontology and Stratigraphy of Fossils (8 papers), Geological and Geochemical Analysis (8 papers), earthquake and tectonic studies (6 papers), Bone Tissue Engineering Materials (6 papers), Additive Manufacturing and 3D Printing Technologies (5 papers), 3D Printing in Biomedical Research (5 papers) and Geology and Paleoclimatology Research (4 papers). The work is most often cited by research in Biomaterials (480 citations), Molecular Medicine (162 citations), Automotive Engineering (380 citations), Biomedical Engineering (980 citations) and Paleontology (138 citations). Peter Chung has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Shaochen Chen, Pranav Soman, Tatiana Segura, Lonnie D. Shea, Brian C. Anderson, Kenneth R. Shull, Kolin C. Hribar, Maggie Cusack, A. Ping Zhang and John J. Warner. Their work appears in journals such as Journal of Metamorphic Geology, Biomaterials, Crystal Growth & Design, Lab on a Chip and Journal of Structural Biology.

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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