Sai Li

189 papers receiving 6.3k citations

Sai Li's Hit Papers

Molecular Architecture of the SARS-CoV-2 Virus 2020 · 731 citations
7310+2+4Years since publication200400600

Peers

Sai Li
Comparison fields: 5 of 159
  • Infectious Diseases 1.1k
  • Structural Biology 88
  • Genetics 578
  • Hematology 435
  • Biomaterials 509
Replace Arne Skerra with:
Arne Skerra Germany
Willem J. M. Mulder United States
Kouhei Tsumoto Japan
Xiawei Wei China
Haiteng Deng China
Tristan I. Croll United Kingdom
David Tai Leong Singapore
Stefan Tenzer Germany
Niren Murthy United States
Ernst Wagner Germany
Sai Li relative to Arne Skerra Germany Arne Skerra's profile →
Citations per field
00.5×2×3×3.5×
Arne Skerra · 1×
Citations per year

Countries citing papers authored by Sai Li

Since Specialization
Citations

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

Fields of papers citing papers by Sai Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 196 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Molecular Architecture of the SARS-CoV-2 Virus
Hit paper breakdown →
2020731
2
Packaging and delivering enzymes by amorphous metal-organic frameworks
Hit paper breakdown →
2019327
3 2007219
4 2006202
5 2012172
6 2014167
7 2021124
8 2010123
9 2023110
10 2016108
11 2014103
12 200399
13 201198
14 201490
15 201886
16 201883
17 200879
18 202176
19 202075
20 201370

About Sai Li

Sai Li is a scholar working on Molecular Biology, Materials Chemistry, Biomaterials, Biomedical Engineering and Infectious Diseases, having authored 196 papers that have together received 6.4k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (17 papers), Polymer Nanocomposites and Properties (10 papers), Polymer composites and self-healing (10 papers), Bacteriophages and microbial interactions (8 papers), Reproductive tract infections research (8 papers), Viral Infections and Vectors (7 papers), Nanoplatforms for cancer theranostics (7 papers) and Advanced Polymer Synthesis and Characterization (6 papers). The work is most often cited by research in Infectious Diseases (1.1k citations), Structural Biology (88 citations), Genetics (578 citations), Hematology (435 citations) and Biomaterials (509 citations). Sai Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Radek C. Skoda, Iwan A.T. Schaap, Róbert Královics, Alexandre Theocharides, Juha T. Huiskonen, Yutong Song, Max Crispin, Zheyuan Zhang, Jialu Xu and André Tichelli. Their work appears in journals such as Blood, Nature Communications, Chemical Engineering Journal, Materials Letters and Physical Chemistry Chemical Physics.

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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