Lekun Fang
Impact in
- Oncology top 5%
- Polyomavirus and related diseases
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
- Oncology 17
- Cancer-related Molecular Pathways 5
- Polyomavirus and related diseases 3
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- Cancer, Hypoxia, and Metabolism 4
- Co-authors
- Mong‐Hong Lee (14 shared papers)Shaomin Zou (13 shared papers)Bianca D. Lemos (2 shared papers)Jayasri G. Iyer (2 shared papers)Paul Nghiem (3 shared papers)Jianping Wang (4 shared papers)Jun X. Hu (2 shared papers)Jieping Zhang (6 shared papers)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (4 papers)Cell Cycle (3 papers)Oncotarget (3 papers)Cell Death and Disease (2 papers)Physica Medica (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Lekun Fang
52 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 108
- Oncology 890
- Cancer Research 472
- Molecular Biology 972
- Aerospace Engineering 268
- Pulmonary and Respiratory Medicine 212
Countries citing papers authored by Lekun Fang
This map shows the geographic impact of Lekun Fang'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 Lekun Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lekun Fang more than expected).
Fields of papers citing papers by Lekun Fang
This network shows the impact of papers produced by Lekun Fang. 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 Lekun Fang. The network helps show where Lekun Fang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lekun Fang, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 434 | |
| 2 | 2017 | 228 | |
| 3 | 2014 | 196 | |
| 4 | 2010 | 124 | |
| 5 | 2020 | 92 | |
| 6 | 2019 | 86 | |
| 7 | 2023 | 81 | |
| 8 | 2015 | 74 | |
| 9 | 2015 | 66 | |
| 10 | 2024 | 54 | |
| 11 | 2013 | 51 | |
| 12 | 2023 | 49 | |
| 13 | 2023 | 44 | |
| 14 | 2014 | 42 | |
| 15 | 2015 | 37 | |
| 16 | 2017 | 36 | |
| 17 | 2013 | 34 | |
| 18 | 2020 | 33 | |
| 19 | 2020 | 33 | |
| 20 | 2020 | 32 |
About Lekun Fang
Lekun Fang is a scholar working on Oncology, Cancer Research, Molecular Biology, Radiation and Pulmonary and Respiratory Medicine, having authored 52 papers that have together received 2.3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (6 papers), Cancer-related Molecular Pathways (5 papers), RNA modifications and cancer (4 papers), Advanced Radiotherapy Techniques (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Prostate Cancer Diagnosis and Treatment (4 papers), Prostate Cancer Treatment and Research (3 papers) and Polyomavirus and related diseases (3 papers). The work is most often cited by research in Oncology (890 citations), Cancer Research (472 citations), Molecular Biology (972 citations), Aerospace Engineering (268 citations) and Pulmonary and Respiratory Medicine (212 citations). Lekun Fang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Mong‐Hong Lee, Shaomin Zou, Bianca D. Lemos, Jayasri G. Iyer, Paul Nghiem, Jianping Wang, Jun X. Hu, Jieping Zhang, Burton B. Yang and Lei Wang. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Cell Cycle, Oncotarget, Cell Death and Disease and Physica Medica.
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.