Yu Dong

1.0k citations
31 papers · 675 indexed · 1 hit paper · h-index 14

Impact in

Papers in

    • RNA modifications and cancer 3
    • RNA Research and Splicing 2
    • Cancer-related molecular mechanisms research 4
    • Carcinogens and Genotoxicity Assessment 3
    • Cancer Genomics and Diagnostics 2

Yu Dong

31 papers receiving 668 citations

Hit Papers

Digital finance and rural revitalization: Empirical test and mechanism discussion 2024 · 49 citations
490+1Years since publication10203040

Peers

Yu Dong
Comparison fields: 5 of 111
  • Cancer Research 228
  • Health, Toxicology and Mutagenesis 117
  • Molecular Biology 333
  • Oncology 92
  • Pollution 28
Replace G. Raghuram with:
G. Raghuram India
Penny Nymark Sweden
Xinyue Deng China
Xinru Zhou China
Wenwen Wang China
Wanli Ma China
Shushu Li China
Yajing Zhang China
Min Song China
Hua Guan China
Yu Dong relative to G. Raghuram India G. Raghuram's profile →
Citations per field
00.5×2.6×
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 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021164
2 202152
3 201951
4
Digital finance and rural revitalization: Empirical test and mechanism discussion
Hit paper breakdown →
202449
5 201848
6 202042
7 201939
8 202326
9 201922
10 202019
11 201817
12 202015
13 201415
14 202213
15 201713
16 202313
17 202212
18 202211
19 202210
20 20129

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 31 papers that have together received 675 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Toxic Organic Pollutants Impact (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers), RNA modifications and cancer (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), RNA Research and Splicing (2 papers), Cancer Genomics and Diagnostics (2 papers) and Innovation Diffusion and Forecasting (2 papers). The work is most often cited by research in Cancer Research (228 citations), Health, Toxicology and Mutagenesis (117 citations), Molecular Biology (333 citations), Oncology (92 citations) and Pollution (28 citations). Yu Dong has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Qiong Xu, Meirui Zhong, Xiaoyin Niu, Huabing Li, Zhenzhen Xun, Ting Zhang, Duan Ni, Huifang Chen, Rujuan Bao and Gaoyang Wang. Their work appears in journals such as Chemosphere, Environment International, Frontiers in Genetics, Stem Cell Reports and Journal of Cleaner Production.

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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