Pi Ding

1.1k citations
35 papers · 956 · h-index 20

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 16
    • DNA and Nucleic Acid Chemistry 9
    • RNA Interference and Gene Delivery 5
    • 3D Printing in Biomedical Research 6
    • Microfluidic and Bio-sensing Technologies 5
    • Nanoplatforms for cancer theranostics 4

Pi Ding

35 papers receiving 951 citations

Peers

Pi Ding
Comparison fields: 5 of 84
  • Biomaterials 181
  • Biomedical Engineering 587
  • Oncology 208
  • Molecular Biology 414
  • Cancer Research 84
Replace Jingxing Si with:
Jingxing Si China
Weizhi Chen China
Zhiyu Zhang China
Yuce Li China
Xing Lai China
Zhaoming Guo China
Ji Wang China
Zhaoqing Shi China
Meitong Ou China
Huqiang Yi China
Pi Ding relative to Jingxing Si China Jingxing Si's profile →
Citations per field
00.5×1.5×1.8×
Jingxing Si · 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 2020132
2 201979
3 201672
4 202153
5 202050
6 202248
7 202246
8 202044
9 202040
10 202138
11 202137
12 202031
13 202028
14 201926
15 202026
16 201923
17 202321
18 201821
19 202120
20 202220

About Pi Ding

Pi Ding is a scholar working on Molecular Biology, Biomedical Engineering, Oncology, Biomaterials and Cancer Research, having authored 35 papers that have together received 956 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (16 papers), Cancer Cells and Metastasis (12 papers), DNA and Nucleic Acid Chemistry (9 papers), 3D Printing in Biomedical Research (6 papers), Cancer Genomics and Diagnostics (6 papers), RNA Interference and Gene Delivery (5 papers), Microfluidic and Bio-sensing Technologies (5 papers) and Nanoplatforms for cancer theranostics (4 papers). The work is most often cited by research in Biomaterials (181 citations), Biomedical Engineering (587 citations), Oncology (208 citations), Molecular Biology (414 citations) and Cancer Research (84 citations). Pi Ding has collaborated with scholars based in China, United States and France. Frequent co-authors include Renjun Pei, Zhili Wang, Na Sun, Zeen Wu, Jine Wang, Xue Cai, Yuewu Zhao, Wenjing Li, Tian Gao and Yu Luo. Their work appears in journals such as ACS Applied Materials & Interfaces, Colloids and Surfaces B Biointerfaces, Chemistry - A European Journal, Journal of Materials Chemistry B and ACS Applied Bio Materials.

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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