Dan Shi

7.4k total citations · 1 hit paper
135 papers, 4.9k citations indexed

About

Dan Shi is a scholar working on Molecular Biology, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Dan Shi has authored 135 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 33 papers in Materials Chemistry and 28 papers in Electrical and Electronic Engineering. Recurrent topics in Dan Shi's work include Electric Motor Design and Analysis (20 papers), Enzyme Structure and Function (19 papers) and Magnetic Bearings and Levitation Dynamics (18 papers). Dan Shi is often cited by papers focused on Electric Motor Design and Analysis (20 papers), Enzyme Structure and Function (19 papers) and Magnetic Bearings and Levitation Dynamics (18 papers). Dan Shi collaborates with scholars based in United States, China and United Kingdom. Dan Shi's co-authors include Tamir Gonen, Brent L. Nannenga, John W. Daly, Panagiotis D. Christofides, Sriram Subramaniam, Mingheng Li, Johan Hattne, M.G. Iadanza, Olga Nikodijević and Kenneth A. Jacobson and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Dan Shi

127 papers receiving 4.8k citations

Hit Papers

Design of a hyperstable 60-subunit protein icosahedron 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Shi United States 39 2.0k 1.3k 652 335 334 135 4.9k
Rachid Sougrat Saudi Arabia 48 4.2k 2.1× 3.2k 2.4× 2.0k 3.1× 310 0.9× 494 1.5× 90 16.2k
Suliana Manley Switzerland 45 3.8k 1.9× 1.4k 1.1× 1.5k 2.4× 61 0.2× 267 0.8× 106 9.2k
Henning Stahlberg Switzerland 56 7.5k 3.8× 963 0.7× 1.3k 2.0× 149 0.4× 789 2.4× 220 12.3k
Ben N. G. Giepmans Netherlands 45 6.2k 3.2× 899 0.7× 809 1.2× 40 0.1× 434 1.3× 105 9.8k
Susumu Uchiyama Japan 46 4.8k 2.4× 1.0k 0.8× 105 0.2× 180 0.5× 999 3.0× 437 9.1k
Paul Verkade United Kingdom 50 7.2k 3.6× 596 0.5× 455 0.7× 96 0.3× 756 2.3× 132 11.4k
Takahiro Fujiwara Japan 48 7.1k 3.6× 1.1k 0.8× 219 0.3× 62 0.2× 693 2.1× 154 10.9k
Xueming Li China 38 4.2k 2.1× 861 0.7× 1.3k 2.0× 43 0.1× 158 0.5× 100 7.0k
Masaki Yamamoto Japan 53 10.2k 5.2× 2.5k 1.9× 395 0.6× 169 0.5× 623 1.9× 394 16.6k
Toshihiko Ogura Japan 47 5.3k 2.7× 541 0.4× 295 0.5× 31 0.1× 359 1.1× 186 7.8k

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-authorship network of co-authors of Dan Shi

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

All Works

20 of 20 papers shown
1.
Huang, Yanxia, Ruiying Zhang, Dan Shi, et al.. (2025). Cationic Magnetically Active Nitrogen‐Doped Polycyclic Aromatic Hydrocarbon with Record Low Band Gap. Angewandte Chemie International Edition. 64(13). e202424128–e202424128. 3 indexed citations
2.
Wang, Yunchong, et al.. (2025). Torque Ripple Reduction With Harmonics Superposition and Optimization for Axially-Segmented PM-Assisted Synchronous Reluctance Machines. IEEE Transactions on Industry Applications. 61(5). 6973–6983. 2 indexed citations
3.
Shi, Dan, Shuai Wu, Jindong Xu, et al.. (2024). Synthesis and Properties of Naphtho‐fused Fluorenyl Radical. Chinese Journal of Chemistry. 43(5). 531–535. 2 indexed citations
4.
Purdy, Michael D., Dan Shi, Jakub Chrustowicz, et al.. (2018). MicroED structures of HIV-1 Gag CTD-SP1 reveal binding interactions with the maturation inhibitor bevirimat. Proceedings of the National Academy of Sciences. 115(52). 13258–13263. 66 indexed citations
5.
Nannenga, Brent L., et al.. (2018). The Evolution and the Advantages of MicroED. Frontiers in Molecular Biosciences. 5. 114–114. 16 indexed citations
6.
Krotee, Pascal, José A. Rodríguez, M.R. Sawaya, et al.. (2017). Atomic structures of fibrillar segments of hIAPP suggest tightly mated β-sheets are important for cytotoxicity. eLife. 6. 89 indexed citations
7.
Filbin, Megan, Breanna S. Vollmar, Dan Shi, Tamir Gonen, & Jeffrey S. Kieft. (2012). HCV IRES manipulates the ribosome to promote the switch from translation initiation to elongation. Nature Structural & Molecular Biology. 20(2). 150–158. 57 indexed citations
8.
Dou, Xiaowei, Bin Zhang, Rui Liu, et al.. (2012). Expanding Sca-1+ mammary stem cell in the presence of oestrogen and growth hormone. Clinical & Translational Oncology. 14(6). 444–451. 3 indexed citations
9.
Gonen, Shane, Bungo Akiyoshi, M.G. Iadanza, et al.. (2012). The structure of purified kinetochores reveals multiple microtubule-attachment sites. Nature Structural & Molecular Biology. 19(9). 925–929. 65 indexed citations
10.
Lu, Chunhua, Shan Lu, Wei Liang, et al.. (2010). TAp63α Mediates Chemotherapeutic Agent-Induced Apoptosis in Human Bone Marrow Mesenchymal Stem Cells. Stem Cells and Development. 20(8). 1319–1326. 13 indexed citations
11.
12.
Borgnia, Mario J., Dan Shi, Peijun Zhang, & Jacqueline L.S. Milne. (2004). Visualization of α-helical features in a density map constructed using 9 molecular images of the 1.8MDa icosahedral core of pyruvate dehydrogenase. Journal of Structural Biology. 147(2). 136–145. 16 indexed citations
13.
Ruel, Réjean, Timothy F. Herpin, Lawrence G. Iben, et al.. (2003). β-Alanine dipeptides as MC4R agonists. Bioorganic & Medicinal Chemistry Letters. 13(24). 4341–4344. 17 indexed citations
14.
Hirai, Teruhisa, et al.. (2003). Projection structure of the bacterial oxalate transporter OxlT at 3.4Å resolution. Journal of Structural Biology. 144(3). 320–326. 19 indexed citations
15.
Shi, Dan, et al.. (2003). Caffeine Analogs: Effects on Ryanodine-Sensitive Calcium-Release Channels and GABAA Receptors. Cellular and Molecular Neurobiology. 23(3). 331–347. 27 indexed citations
16.
Shao, Zhifeng, Dan Shi, & Avril V. Somlyo. (2000). Cryoatomic Force Microscopy of Filamentous Actin. Biophysical Journal. 78(2). 950–958. 45 indexed citations
17.
Huizen, Rika van, et al.. (1999). Images of oligomeric Kvβ2, a modulatory subunit of potassium channels. FEBS Letters. 457(1). 107–111. 16 indexed citations
18.
Shi, Dan, et al.. (1996). Spiropyrrolizidines: A new class of blockers of nicotinic receptors. Biochemical Pharmacology. 52(6). 933–939. 16 indexed citations
19.
Daly, John W., Dan Shi, Vivian Wong, & Olga Nikodijević. (1994). Chronic effects of ethanol on central adenosine function of mice. Brain Research. 650(1). 153–156. 19 indexed citations
20.

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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