Dan Dong

1.8k 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 6
    • Epigenetics and DNA Methylation 4
    • RNA Research and Splicing 3
    • Angiogenesis and VEGF in Cancer 3
    • Cancer-related molecular mechanisms research 7

Dan Dong

46 papers receiving 1.2k citations

Peers

Dan Dong
Comparison fields: 5 of 111
  • Aging 33
  • Cancer Research 230
  • Nephrology 60
  • Molecular Biology 547
  • Biological Psychiatry 18
Replace Rong Wang with:
Rong Wang China
Christopher Vidal Australia
Marie-Therese Rached United States
Hani Rayess United States
Jianjun Zhou China
Di Cui China
Junn-Liang Chang Taiwan
Kai Jiang United States
Dan Dong relative to Rong Wang China Rong Wang's profile →
Citations per field
00.5×3.6×
Rong Wang · 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 2022115
2 2013107
3 2020100
4 202078
5 201376
6 201769
7 201861
8 201658
9 201954
10 201443
11 201941
12 202038
13 201932
14 202029
15 201326
16 202126
17 202125
18 202024
19 201221
20 202019

About Dan Dong

Dan Dong is a scholar working on Molecular Biology, Cancer Research, Oncology, Physiology and Genetics, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (6 papers), Epigenetics and DNA Methylation (4 papers), RNA Research and Splicing (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Genetic and Kidney Cyst Diseases (3 papers), Autophagy in Disease and Therapy (3 papers) and Dietary Effects on Health (3 papers). The work is most often cited by research in Aging (33 citations), Cancer Research (230 citations), Nephrology (60 citations), Molecular Biology (547 citations) and Biological Psychiatry (18 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, Songbo Xie, Shaoyuan Cui, Guangyan Cai, Liying Hao and Xiangmei Chen. Their work appears in journals such as Cell Death and Disease, Oncotarget, Clinical and Translational Medicine, Journal of Biological Chemistry and Cancer Letters.

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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