Yu Dong

1.0k citations
32 papers · 709 · 1 hit paper · h-index 14

Impact in

Papers in

    • RNA modifications and cancer 3
    • Cancer-related molecular mechanisms research 3
    • Carcinogens and Genotoxicity Assessment 3
    • Cancer Genomics and Diagnostics 2

Yu Dong

31 papers receiving 702 citations

Yu Dong's Hit Papers

Digital finance and rural revitalization: Empirical test and mechanism discussion 2024 · 54 citations
540+1Years since publication1020304050

Peers

Yu Dong
Comparison fields: 5 of 112
  • Cancer Research 187
  • Health, Toxicology and Mutagenesis 119
  • Molecular Biology 307
  • Oncology 73
  • Pollution 30
Replace G. Raghuram with:
G. Raghuram India
Yanling Li China
Xinru Zhou China
Shushu Li China
Nicole Campion United States
Jiaqiu Li China
Xiaodan Han China
Hua Meng China
Hongjun Lv China
Yu Dong relative to G. Raghuram India G. Raghuram's profile →
Citations per field
00.5×3.8×
G. Raghuram · 1×
Citations per year

Countries citing papers authored by Yu Dong

Since Specialization
Citations

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

Fields of papers citing papers by Yu Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021169
2
Digital finance and rural revitalization: Empirical test and mechanism discussion
Hit paper breakdown →
202454
3 202152
4 201952
5 201850
6 202042
7 201941
8 202331
9 201922
10 202020
11 202318
12 201817
13 201416
14 202015
15 202213
16 202213
17 201713
18 202212
19 202210
20 202410

About Yu Dong

Yu Dong is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Health, Toxicology and Mutagenesis, having authored 32 papers that have together received 709 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers), Toxic Organic Pollutants Impact (3 papers), RNA modifications and cancer (3 papers), Ferroptosis and cancer prognosis (2 papers), Cancer Genomics and Diagnostics (2 papers) and Cardiac Ischemia and Reperfusion (2 papers). The work is most often cited by research in Cancer Research (187 citations), Health, Toxicology and Mutagenesis (119 citations), Molecular Biology (307 citations), Oncology (73 citations) and Pollution (30 citations). Yu Dong has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qiong Xu, Meirui Zhong, Ting Zhang, Huifang Chen, Youqiong Ye, Xiaoyin Niu, Huabing Li, Duan Ni, Yanhua Du and Jiameng Yao. Their work appears in journals such as Frontiers in Genetics, Environment International, Chemosphere, Stem Cell Reports and Frontiers in Pharmacology.

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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