Pi Ding

1.2k citations
35 papers · 1.1k · h-index 20

Impact in

    • Nanoplatforms for cancer theranostics
    • Microfluidic and Bio-sensing Technologies
    • Bone Tissue Engineering Materials
  • Biomaterials top 10%
    • Nanoparticle-Based Drug Delivery
    • Electrospun Nanofibers in Biomedical Applications

Papers in

    • Microfluidic and Bio-sensing Technologies 7
    • Nanoplatforms for cancer theranostics 3
    • Bone Tissue Engineering Materials 1
    • Nanoparticle-Based Drug Delivery 1
    • Silk-based biomaterials and applications 1

Pi Ding

35 papers receiving 1.1k citations

Peers

Pi Ding
Comparison fields: 5 of 48
  • Biomedical Engineering 346
  • Biomaterials 67
  • Molecular Biology 225
  • Molecular Medicine 16
  • Cancer Research 22
Replace Mingwan Shi with:
Mingwan Shi China
Duhwan Lee South Korea
Qing You China
Yu Sheng Cheng China
Kaixin Liao China
Rongrong Zheng China
Meng Suo China
Lizhou Lin China
Di Chuan China
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Citations per field
00.5×2×4×6×8×10×
Mingwan Shi · 1×
Citations per year

Countries citing papers authored by Pi Ding

Since Specialization
Citations

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

Fields of papers citing papers by Pi Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020134
2 201982
3 201675
4 202158
5 202255
6 202254
7 202053
8 202051
9 202045
10 202144
11 202141
12 202038
13 202033
14 202033
15 201927
16 201826
17 202126
18 202226
19 201925
20 202323

About Pi Ding

Pi Ding is a scholar working on Biomedical Engineering, Biomaterials, Cancer Research, Molecular Biology and Molecular Medicine, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (7 papers), DNA and Nucleic Acid Chemistry (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Cancer Genomics and Diagnostics (3 papers), Nanoplatforms for cancer theranostics (3 papers), Nanoparticle-Based Drug Delivery (1 paper), Bone Tissue Engineering Materials (1 paper) and Silk-based biomaterials and applications (1 paper). The work is most often cited by research in Biomedical Engineering (346 citations), Biomaterials (67 citations), Molecular Biology (225 citations), Molecular Medicine (16 citations) and Cancer Research (22 citations). Pi Ding has collaborated with scholars based in China, France and Hong Kong. Frequent co-authors include Renjun Pei, Zhili Wang, Na Sun, Zeen Wu, Jine Wang, Weipei Zhu, Yuewu Zhao, Wenjing Li, Tian Gao and Xue Cai. Their work appears in journals such as ACS Applied Materials & Interfaces, Colloids and Surfaces B Biointerfaces, Chemistry - A European Journal, ACS Applied Bio Materials and Journal of Materials Chemistry B.

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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