Dan Dong

1.7k citations
52 papers · 1.2k · h-index 20

Impact in

  • Aging top 10%
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • RNA modifications and cancer 7
    • Epigenetics and DNA Methylation 5
    • RNA Research and Splicing 3
    • Cancer-related molecular mechanisms research 9

Dan Dong

45 papers receiving 1.2k citations

Peers

Dan Dong
Comparison fields: 5 of 113
  • Aging 33
  • Cancer Research 268
  • Nephrology 64
  • Molecular Biology 594
  • Biological Psychiatry 20
Replace Christopher Vidal with:
Christopher Vidal Australia
Zihao Zhang China
Jeremy Turner United Kingdom
Lydia Coulthard United Kingdom
Di Cui China
Dejia Li China
Dongmei Su China
Jessica Bihuniak United States
Núria Torán Spain
Tamara R. Jones United States
Dan Dong relative to Christopher Vidal Australia Christopher Vidal's profile →
Citations per field
00.5×
Christopher Vidal · 1×
Citations per year

Countries citing papers authored by Dan Dong

Since Specialization
Citations

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

Fields of papers citing papers by Dan Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022107
2 201399
3 202098
4 202074
5 201372
6 201769
7 201861
8 201657
9 201953
10 201442
11 201940
12 202037
13 201930
14 202027
15 201326
16 202124
17 202124
18 202023
19 201219
20 202019

About Dan Dong

Dan Dong is a scholar working on Molecular Biology, Cancer Research, Oncology, Genetics and Surgery, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (9 papers), RNA modifications and cancer (7 papers), Epigenetics and DNA Methylation (5 papers), Renal Diseases and Glomerulopathies (4 papers), Genetic and Kidney Cyst Diseases (3 papers), RNA Research and Splicing (3 papers), Dietary Effects on Health (3 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Aging (33 citations), Cancer Research (268 citations), Nephrology (64 citations), Molecular Biology (594 citations) and Biological Psychiatry (20 citations). Dan Dong has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Chenghai Zhao, Min Liu, Yu Sun, Wei Wang, Mingli Sun, Yichun Ning, Songbo Xie, Shaoyuan Cui, Guangyan Cai and Xiangmei Chen. Their work appears in journals such as Cell Death and Disease, Journal of Biological Chemistry, Oncotarget, JAIDS Journal of Acquired Immune Deficiency Syndromes and Nephron Experimental Nephrology.

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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