Dan Kong
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Effects and risks of endocrine disrupting chemicals
Papers in
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- Pluripotent Stem Cells Research 2
- Circular RNAs in diseases 2
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- Cancer-related molecular mechanisms research 3
- Co-authors
- Xiaoming Jin (22 shared papers)Tianzhen Wang (7 shared papers)Jianjun Jiang (2 shared papers)Lanqin Shang (2 shared papers)Weidong Hao (1 shared paper)Ran Liu (1 shared paper)Chengcheng Ren (2 shared papers)K. Oguma (1 shared paper)
- Journals
- Food and Chemical Toxicology (2 papers)Cancer Cell International (2 papers)International Journal of Infectious Diseases (2 papers)Frontiers in Pharmacology (1 paper)Translational research (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Dan Kong
33 papers receiving 546 citations
Peers
Comparison fields: 5 of 87
- Cancer Research 162
- Health, Toxicology and Mutagenesis 61
- Molecular Biology 265
- Hepatology 24
- Nephrology 20
Countries citing papers authored by Dan Kong
This map shows the geographic impact of Dan Kong'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 Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Kong more than expected).
Fields of papers citing papers by Dan Kong
This network shows the impact of papers produced by Dan Kong. 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 Kong. The network helps show where Dan Kong may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Kong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 59 | |
| 2 | 2011 | 56 | |
| 3 | 2018 | 51 | |
| 4 | 2015 | 42 | |
| 5 | 2011 | 28 | |
| 6 | 2013 | 27 | |
| 7 | 2013 | 27 | |
| 8 | 2016 | 26 | |
| 9 | 2019 | 23 | |
| 10 | 2014 | 21 | |
| 11 | 2015 | 20 | |
| 12 | 2020 | 18 | |
| 13 | 2018 | 17 | |
| 14 | 2021 | 14 | |
| 15 | 2016 | 13 | |
| 16 | 2009 | 12 | |
| 17 | 2015 | 10 | |
| 18 | 2015 | 10 | |
| 19 | 2018 | 10 | |
| 20 | 2020 | 10 |
About Dan Kong
Dan Kong is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Nephrology, having authored 34 papers that have together received 556 indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (4 papers), Gastrointestinal motility and disorders (3 papers), Cancer-related molecular mechanisms research (3 papers), Pluripotent Stem Cells Research (2 papers), Hepatitis B Virus Studies (2 papers), Ovarian cancer diagnosis and treatment (2 papers), Circular RNAs in diseases (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Cancer Research (162 citations), Health, Toxicology and Mutagenesis (61 citations), Molecular Biology (265 citations), Hepatology (24 citations) and Nephrology (20 citations). Dan Kong has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Xiaoming Jin, Tianzhen Wang, Jianjun Jiang, Lanqin Shang, Weidong Hao, Ran Liu, Chengcheng Ren, K. Oguma, Lei Zhang and Yang Li. Their work appears in journals such as Food and Chemical Toxicology, Cancer Cell International, International Journal of Infectious Diseases, Frontiers in Pharmacology and Translational research.
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.