Dan Shi

130 papers receiving 5.0k citations

Dan Shi's Hit Papers

Design of a hyperstable 60-subunit protein icosahedron 2016 · 328 citations
3280+3+6Years since publication100200300

Peers

Dan Shi
Comparison fields: 5 of 158
  • Structural Biology 704
  • Virology 332
  • Physiology 301
  • Surfaces, Coatings and Films 243
  • Molecular Biology 2.0k
Replace Rachid Sougrat with:
Rachid Sougrat Saudi Arabia
Masaki Yamamoto Japan
Arie J. Verkleij Netherlands
Henning Stahlberg Switzerland
Paul Verkade United Kingdom
Xueming Li China
Ben N. G. Giepmans Netherlands
Petr V. Konarev Russia
Yoshinori Fujiyoshi Japan
George Harauz Canada
Dan Shi relative to Rachid Sougrat Saudi Arabia Rachid Sougrat's profile →
Citations per field
00.5×1.5×
Rachid Sougrat · 1×
Citations per year

Countries citing papers authored by Dan Shi

Since Specialization
Citations

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

Fields of papers citing papers by Dan Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dan Shi, 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 Dan Shi Line = papers co-authored together Dan Shi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 138 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Design of a hyperstable 60-subunit protein icosahedron
Hit paper breakdown →
2016328
2 2014295
3 2013292
4 2008249
5 2005169
6 2002165
7 2010148
8 2018137
9 2011133
10 1993131
11 2017130
12 2009124
13 1993117
14 2013101
15 200599
16 201491
17 201790
18 201688
19
MicroED data collection and processing.
201586
20 200886

About Dan Shi

Dan Shi is a scholar working on Molecular Biology, Materials Chemistry, Electrical and Electronic Engineering, Control and Systems Engineering and Structural Biology, having authored 138 papers that have together received 5.1k indexed citations. Recurring topics across this work include Enzyme Structure and Function (20 papers), Electric Motor Design and Analysis (20 papers), Magnetic Bearings and Levitation Dynamics (18 papers), Advanced Electron Microscopy Techniques and Applications (17 papers), Magnetic Properties and Applications (12 papers), Adenosine and Purinergic Signaling (9 papers), Molecular Sensors and Ion Detection (7 papers) and Luminescence and Fluorescent Materials (7 papers). The work is most often cited by research in Structural Biology (704 citations), Virology (332 citations), Physiology (301 citations), Surfaces, Coatings and Films (243 citations) and Molecular Biology (2.0k citations). Dan Shi has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Tamir Gonen, Brent L. Nannenga, John W. Daly, Panagiotis D. Christofides, Sriram Subramaniam, Johan Hattne, Mingheng Li, Andrew G. W. Leslie, M.G. Iadanza and Kenneth A. Jacobson. Their work appears in journals such as Journal of Structural Biology, European Journal of Organic Chemistry, Proceedings of the National Academy of Sciences, eLife and Microscopy and Microanalysis.

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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