Danli Kong
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
Papers in
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- Circular RNAs in diseases 4
-
- Liver Disease Diagnosis and Treatment 2
- Co-authors
- Yuanlin Ding (25 shared papers)Haibing Yu (8 shared papers)Yuqing He (3 shared papers)Haiyan Pan (3 shared papers)Yugang Jiang (1 shared paper)Zhigang Huang (1 shared paper)Congcong Pan (3 shared papers)Tao Li (1 shared paper)
- Journals
- Scientific Reports (3 papers)BioMed Research International (2 papers)Frontiers in Public Health (2 papers)Frontiers in Pharmacology (2 papers)BMC Microbiology (1 paper)
- Partner nations
- ChinaUnited StatesVietnam
In The Last Decade
Danli Kong
33 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 104
- Cancer Research 401
- Geriatrics and Gerontology 55
- Biological Psychiatry 28
- Rehabilitation 56
- Molecular Biology 563
Countries citing papers authored by Danli Kong
This map shows the geographic impact of Danli 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 Danli Kong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danli Kong more than expected).
Fields of papers citing papers by Danli Kong
This network shows the impact of papers produced by Danli 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 Danli Kong. The network helps show where Danli Kong may publish in the future.
Co-authors
The 25 scholars most cited alongside Danli 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 245 | |
| 2 | 2015 | 195 | |
| 3 | 2019 | 112 | |
| 4 | 2019 | 111 | |
| 5 | 2015 | 73 | |
| 6 | 2020 | 66 | |
| 7 | 2016 | 43 | |
| 8 | 2013 | 37 | |
| 9 | 2011 | 37 | |
| 10 | 2024 | 28 | |
| 11 | 2022 | 24 | |
| 12 | 2015 | 24 | |
| 13 | 2023 | 23 | |
| 14 | 2015 | 21 | |
| 15 | 2022 | 12 | |
| 16 | 2015 | 12 | |
| 17 | Elevated circulating miR-126-3p expression in patients with acute myocardial infarction: its diagnostic value. | 2017 | 12 |
| 18 | 2017 | 12 | |
| 19 | 2024 | 7 | |
| 20 | 2024 | 6 |
About Danli Kong
Danli Kong is a scholar working on Molecular Biology, Epidemiology, Geriatrics and Gerontology, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Circular RNAs in diseases (4 papers), Sirtuins and Resveratrol in Medicine (4 papers), MicroRNA in disease regulation (4 papers), Cancer-related molecular mechanisms research (4 papers), Adipose Tissue and Metabolism (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Antioxidant Activity and Oxidative Stress (2 papers) and Regulation of Appetite and Obesity (2 papers). The work is most often cited by research in Cancer Research (401 citations), Geriatrics and Gerontology (55 citations), Biological Psychiatry (28 citations), Rehabilitation (56 citations) and Molecular Biology (563 citations). Danli Kong has collaborated with scholars based in China, United States and Vietnam. Frequent co-authors include Yuanlin Ding, Haibing Yu, Yuqing He, Haiyan Pan, Yugang Jiang, Zhigang Huang, Congcong Pan, Tao Li, Chengkai Xu and Juanjuan Lin. Their work appears in journals such as Scientific Reports, BioMed Research International, Frontiers in Public Health, Frontiers in Pharmacology and BMC Microbiology.
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.