Nan Ding

4.1k citations
105 papers · 2.2k · h-index 26

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Circular RNAs in diseases
    • Advanced biosensing and bioanalysis techniques
    • RNA modifications and cancer
    • Extracellular vesicles in disease

Papers in

    • Circular RNAs in diseases 17
    • RNA modifications and cancer 9
    • RNA Research and Splicing 7
    • RNA Interference and Gene Delivery 5
    • Epigenetics and DNA Methylation 4
    • MicroRNA in disease regulation 21
    • Cancer-related molecular mechanisms research 15

Nan Ding

102 papers receiving 2.2k citations

Peers

Nan Ding
Comparison fields: 5 of 152
  • Cancer Research 686
  • Molecular Biology 1.1k
  • Molecular Medicine 80
  • Electrochemistry 73
  • Oncology 187
Replace Lili Jiang with:
Lili Jiang China
Jiayun Liu China
Shirin Eyvazi Iran
Sang-Yeop Lee South Korea
Hridayesh Prakash India
Feng Ji China
Xiaowei Ma China
Han Zhang China
Wenzhu Zhang China
Patrícia Severino Brazil
Nan Ding relative to Lili Jiang China Lili Jiang's profile →
Citations per field
00.5×1.5×2.2×
Lili Jiang · 1×
Citations per year

Countries citing papers authored by Nan Ding

Since Specialization
Citations

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

Fields of papers citing papers by Nan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013118
2 2011115
3 201190
4 201587
5 201375
6 201671
7 201470
8 201570
9 201963
10 201062
11 201361
12 201458
13 201955
14 202048
15 201946
16 201844
17 201544
18 202344
19 201841
20 201737

About Nan Ding

Nan Ding is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Pulmonary and Respiratory Medicine, having authored 105 papers that have together received 2.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (21 papers), Circular RNAs in diseases (17 papers), Cancer-related molecular mechanisms research (15 papers), RNA modifications and cancer (9 papers), RNA Research and Splicing (7 papers), RNA Interference and Gene Delivery (5 papers), Antibiotic Resistance in Bacteria (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Cancer Research (686 citations), Molecular Biology (1.1k citations), Molecular Medicine (80 citations), Electrochemistry (73 citations) and Oncology (187 citations). Nan Ding has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Desheng Yao, Junying Chen, Shan Zhao, Yujian He, Xiangdong Fang, Zhaofei Pang, Li Li, Qian Cao, Hong Zhao and Yimin Yang. Their work appears in journals such as Genomics Proteomics & Bioinformatics, Oncotarget, Scientific Reports, RNA Biology and Frontiers in Oncology.

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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