Dongjun Dai

2.3k citations
60 papers · 1.5k indexed · h-index 20

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • Cancer-related gene regulation
    • Epigenetics and DNA Methylation
    • RNA Research and Splicing
    • Circular RNAs in diseases

Papers in

Dongjun Dai

59 papers receiving 1.5k citations

Peers

Dongjun Dai
Comparison fields: 5 of 113
  • Cancer Research 600
  • Molecular Biology 1.0k
  • Oncology 208
  • Otorhinolaryngology 27
  • Biological Psychiatry 15
Replace Ying Xiong with:
Ying Xiong China
Mika Leinonen United States
Xiaolei Shi China
Siyi Xu China
Yun He China
Ryuichi Fukuyama Japan
Ji Zhang China
Qianghua Xia United States
Hosung Bae South Korea
Dongjun Dai relative to Ying Xiong China Ying Xiong's profile →
Citations per field
00.5×1.5×2.5×
Ying Xiong · 1×
Citations per year

Countries citing papers authored by Dongjun Dai

Since Specialization
Citations

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

Fields of papers citing papers by Dongjun Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018344
2 2019156
3 201689
4 202075
5 201872
6
Epigenetic regulation of alternative splicing.
201858
7 201753
8 201446
9 201638
10 201437
11 201533
12 201430
13
Nomogram for predicting survival in triple-negative breast cancer patients with histology of infiltrating duct carcinoma: a population-based study.
201828
14 202227
15 201725
16 201824
17 201521
18 202021
19 201919
20 202219

About Dongjun Dai

Dongjun Dai is a scholar working on Cancer Research, Otorhinolaryngology, Molecular Biology, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine, having authored 60 papers that have together received 1.5k indexed citations. Recurring topics across this work include RNA modifications and cancer (13 papers), Epigenetics and DNA Methylation (11 papers), Cancer-related molecular mechanisms research (10 papers), RNA Research and Splicing (6 papers), Cancer-related gene regulation (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Ferroptosis and cancer prognosis (4 papers) and Breast Cancer Treatment Studies (3 papers). The work is most often cited by research in Cancer Research (600 citations), Molecular Biology (1.0k citations), Oncology (208 citations), Otorhinolaryngology (27 citations) and Biological Psychiatry (15 citations). Dongjun Dai has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xian Wang, Hongchuan Jin, Liyuan Zhu, Hanying Wang, Shiwei Duan, Lifeng Feng, Yiran Zhu, Wenxia Xu, Danjie Jiang and Vivian Y. Shin. Their work appears in journals such as Biomedical Reports, Oncotarget, PeerJ, PLoS ONE and Cancers.

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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