Da Shi

2.5k citations
84 papers · 1.9k indexed · 1 hit paper · h-index 22

Impact in

  • Biomaterials top 10%
    • Nanoparticle-Based Drug Delivery
    • RNA Interference and Gene Delivery
    • Advanced biosensing and bioanalysis techniques

Papers in

Da Shi

82 papers receiving 1.8k citations

Hit Papers

To PEGylate or not to PEGylate: Immunological properties of nanomedicine’s most popular component, polyethylene glycol and its alternatives 2021 · 354 citations
3540+1+3Years since publication100200300

Peers

Da Shi
Comparison fields: 5 of 142
  • Biomaterials 169
  • Molecular Biology 729
  • Oncology 281
  • Cancer Research 150
  • Clinical Biochemistry 58
Replace Yaru Zhang with:
Yaru Zhang China
Lingxiao Zhang China
Yaling Liu China
Wentao Dai China
Sybille van den Brûle Belgium
Sonia Melino Italy
Shweta Sharma India
Jiajian Liu China
Xinmei Zhao China
Junhui Zhang China
Da Shi relative to Yaru Zhang China Yaru Zhang's profile →
Citations per field
00.5×3.3×
Yaru Zhang · 1×
Citations per year

Countries citing papers authored by Da Shi

Since Specialization
Citations

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

Fields of papers citing papers by Da Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1
To PEGylate or not to PEGylate: Immunological properties of nanomedicine’s most popular component, polyethylene glycol and its alternatives
Hit paper breakdown →
2021354
2 201196
3 202093
4 200092
5 201088
6 200977
7 200774
8 202364
9 202357
10 202149
11 202045
12 202044
13 201442
14 201732
15 201730
16 201430
17 201326
18 201726
19 202026
20 202025

About Da Shi

Da Shi is a scholar working on Molecular Biology, Oncology, Infectious Diseases, Genetics and Cancer Research, having authored 84 papers that have together received 1.9k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (8 papers), Drug Transport and Resistance Mechanisms (7 papers), Pharmacogenetics and Drug Metabolism (6 papers), Viral gastroenteritis research and epidemiology (6 papers), Virus-based gene therapy research (5 papers), RNA Interference and Gene Delivery (4 papers), Computational Drug Discovery Methods (4 papers) and Genetic factors in colorectal cancer (3 papers). The work is most often cited by research in Biomaterials (169 citations), Molecular Biology (729 citations), Oncology (281 citations), Cancer Research (150 citations) and Clinical Biochemistry (58 citations). Da Shi has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kirill A. Afonin, Marina A. Dobrovolskaia, Damian Beasock, János Szebeni, Julia Y. Ljubimova, Adam B. Fessler, Ruben Abagyan, Gary Fiskum, Su Xu and Rao P. Gullapalli. Their work appears in journals such as Nanoscale, PLoS neglected tropical diseases, Journal of Chemical Information and Modeling, Veterinary Microbiology and Journal of Neurochemistry.

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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