Zhanling Ding

931 citations
18 papers · 826 · h-index 14

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 5
    • RNA Interference and Gene Delivery 2
    • Nanoparticle-Based Drug Delivery 4

Zhanling Ding

18 papers receiving 822 citations

Peers

Zhanling Ding
Comparison fields: 5 of 85
  • Biomaterials 340
  • Biomedical Engineering 442
  • Electrochemistry 35
  • Molecular Biology 356
  • Materials Chemistry 219
Replace Takeo Urakami with:
Takeo Urakami Japan
Yun Hak Lee South Korea
Ruibing An China
Ting Xue China
Runqi Yan China
Madhuri Dasari United States
Jinchao Shen China
Shin A Yoon South Korea
Joungyoun Noh South Korea
Guo-Rong Chen China
Zhanling Ding relative to Takeo Urakami Japan Takeo Urakami's profile →
Citations per field
00.5×1.5×2×2.5×
Takeo Urakami · 1×
Citations per year

Countries citing papers authored by Zhanling Ding

Since Specialization
Citations

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

Fields of papers citing papers by Zhanling Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2015196
2 2016171
3 201980
4 201967
5 201657
6 202341
7 202238
8 201833
9 201527
10 202026
11 201319
12 202018
13 201517
14 201315
15 20186
16 20206
17 20156
18 20243

About Zhanling Ding

Zhanling Ding is a scholar working on Molecular Biology, Biomaterials, Biomedical Engineering, Materials Chemistry and Oncology, having authored 18 papers that have together received 826 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (5 papers), Nanoplatforms for cancer theranostics (5 papers), Nanoparticle-Based Drug Delivery (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Drug Transport and Resistance Mechanisms (2 papers), RNA Interference and Gene Delivery (2 papers), Computational Drug Discovery Methods (2 papers) and Electrochemical sensors and biosensors (2 papers). The work is most often cited by research in Biomaterials (340 citations), Biomedical Engineering (442 citations), Electrochemistry (35 citations), Molecular Biology (356 citations) and Materials Chemistry (219 citations). Zhanling Ding has collaborated with scholars based in China and United States. Frequent co-authors include Gaolin Liang, Yue Yuan, Tao Han, Huafeng Zhang, Lin Wang, Linna An, Wei Du, Jinming Hu, Jia Zhang and Shuchao Ge. Their work appears in journals such as BioMed Research International, Chemical Science, Nano Letters, Molecules and Angewandte Chemie International Edition.

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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