Lan‐Feng Dong
Impact in
- Cancer Research top 1%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Biochemistry top 1%
- Antioxidant Activity and Oxidative Stress
Papers in
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- Mitochondrial Function and Pathology 19
- ATP Synthase and ATPases Research 15
- Retinoids in leukemia and cellular processes 7
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- Cancer, Hypoxia, and Metabolism 22
- MicroRNA in disease regulation 7
- Co-authors
- Jiřı́ Neužil (65 shared papers)Stephen J. Ralph (16 shared papers)Jakub Rohlena (19 shared papers)Xiufang Wang (12 shared papers)Renata Zobalová (15 shared papers)Marco Tomasetti (11 shared papers)Lubomír Procházka (8 shared papers)Marina Stantic (10 shared papers)
In The Last Decade
Lan‐Feng Dong
77 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 117
- Cancer Research 958
- Biochemistry 306
- Molecular Biology 2.1k
- Toxicology 67
- Biomaterials 236
Countries citing papers authored by Lan‐Feng Dong
This map shows the geographic impact of Lan‐Feng 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 Lan‐Feng Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan‐Feng Dong more than expected).
Fields of papers citing papers by Lan‐Feng Dong
This network shows the impact of papers produced by Lan‐Feng 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 Lan‐Feng Dong. The network helps show where Lan‐Feng Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Lan‐Feng Dong, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 206 | |
| 2 | 2012 | 197 | |
| 3 | 2006 | 159 | |
| 4 | 2007 | 153 | |
| 5 | 2007 | 121 | |
| 6 | 2007 | 110 | |
| 7 | 2010 | 107 | |
| 8 | 2009 | 105 | |
| 9 | 2020 | 98 | |
| 10 | 2012 | 93 | |
| 11 | 2007 | 88 | |
| 12 | 2019 | 87 | |
| 13 | 2007 | 86 | |
| 14 | 2011 | 83 | |
| 15 | 2011 | 83 | |
| 16 | 2007 | 82 | |
| 17 | 2014 | 81 | |
| 18 | 2018 | 81 | |
| 19 | 2007 | 74 | |
| 20 | 2011 | 72 |
About Lan‐Feng Dong
Lan‐Feng Dong is a scholar working on Molecular Biology, Cancer Research, Oncology, Biochemistry and Nutrition and Dietetics, having authored 79 papers that have together received 3.5k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (22 papers), Mitochondrial Function and Pathology (19 papers), ATP Synthase and ATPases Research (15 papers), Antioxidant Activity and Oxidative Stress (11 papers), Retinoids in leukemia and cellular processes (7 papers), Cancer Cells and Metastasis (7 papers), MicroRNA in disease regulation (7 papers) and Metabolism and Genetic Disorders (5 papers). The work is most often cited by research in Cancer Research (958 citations), Biochemistry (306 citations), Molecular Biology (2.1k citations), Toxicology (67 citations) and Biomaterials (236 citations). Lan‐Feng Dong has collaborated with scholars based in Australia, Czechia and China. Frequent co-authors include Jiřı́ Neužil, Stephen J. Ralph, Jakub Rohlena, Xiufang Wang, Renata Zobalová, Marco Tomasetti, Lubomír Procházka, Marina Stantic, Jaroslav Truksa and Ayenachew Bezawork‐Geleta. Their work appears in journals such as Free Radical Biology and Medicine, Antioxidants and Redox Signaling, Mitochondrion, Cancer Research and PLoS ONE.
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.