Ling Ding

6.0k citations
142 papers · 4.8k · 1 hit paper · h-index 39

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Nanoparticle-Based Drug Delivery

Papers in

Ling Ding

132 papers receiving 4.7k citations

Ling Ding's Hit Papers

The role of autophagy in viral infections 2023 · 159 citations
1590+1+2Years since publication50100150

Peers

Ling Ding
Comparison fields: 5 of 123
  • Cancer Research 747
  • Biomaterials 553
  • Immunology 697
  • Molecular Biology 2.2k
  • Polymers and Plastics 391
Replace Jianru Xiao with:
Jianru Xiao China
Marcel H.A.M. Fens Netherlands
Yue Gao China
Hua Bei Guo China
Han Chang Kang South Korea
Lei Xing China
Liqun Wu China
Samaresh Sau United States
Qizhen Cao United States
Ling Ding relative to Jianru Xiao China Jianru Xiao's profile →
Citations per field
00.5×1.5×2.2×
Jianru Xiao · 1×
Citations per year

Countries citing papers authored by Ling Ding

Since Specialization
Citations

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

Fields of papers citing papers by Ling Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010312
2 2018190
3 2019165
4 2018165
5 2009163
6
The role of autophagy in viral infections
Hit paper breakdown →
2023159
7 2017153
8 2015139
9 2019130
10 2016117
11 2020113
12 2017109
13 2018102
14 2021101
15 201894
16 200883
17 201276
18 201875
19 202064
20 201563

About Ling Ding

Ling Ding is a scholar working on Polymers and Plastics, Molecular Biology, Immunology, Cancer Research and Oncology, having authored 142 papers that have together received 4.8k indexed citations. Recurring topics across this work include Dendrimers and Hyperbranched Polymers (19 papers), RNA Interference and Gene Delivery (15 papers), Nanoplatforms for cancer theranostics (15 papers), Nanoparticle-Based Drug Delivery (13 papers), Advanced biosensing and bioanalysis techniques (12 papers), Cancer Immunotherapy and Biomarkers (9 papers), MicroRNA in disease regulation (8 papers) and Radical Photochemical Reactions (7 papers). The work is most often cited by research in Cancer Research (747 citations), Biomaterials (553 citations), Immunology (697 citations), Molecular Biology (2.2k citations) and Polymers and Plastics (391 citations). Ling Ding has collaborated with scholars based in China, United States and France. Frequent co-authors include Qiaojun He, Bo Yang, Ling Peng, Guikai Liang, Jieqiong Zhang, Xi Chen, David Oupický, Xiaohui Pan, Yanjun Xu and Hongjie Guo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Controlled Release, Acta Pharmacologica Sinica, ACS Applied Materials & Interfaces and Acta Pharmaceutica Sinica 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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