Fei Lu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 5%
- Epigenetics and DNA Methylation
- Histone Deacetylase Inhibitors Research
- Cancer-related gene regulation
- RNA modifications and cancer
- RNA Interference and Gene Delivery
- Ubiquitin and proteasome pathways
Papers in
-
- Epigenetics and DNA Methylation 16
- RNA modifications and cancer 10
- Ubiquitin and proteasome pathways 8
- Cancer-related gene regulation 8
- RNA Research and Splicing 7
-
- Cancer-related molecular mechanisms research 8
- Co-authors
- Hui Zhang (13 shared papers)Hong Sun (11 shared papers)Feng Yin (13 shared papers)Chunyan Ji (29 shared papers)Qianqian Wang (7 shared papers)Daoxin Ma (17 shared papers)Rongfeng Lan (8 shared papers)Zhengshuang Xu (3 shared papers)
- Journals
- Journal of Biological Chemistry (6 papers)Scientific Reports (3 papers)Frontiers in Immunology (3 papers)Molecular BioSystems (2 papers)Blood (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Fei Lu
91 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 118
- Cancer Research 441
- Molecular Biology 1.4k
- Oncology 296
- Immunology 211
- Hematology 99
Countries citing papers authored by Fei Lu
This map shows the geographic impact of Fei Lu'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 Fei Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Lu more than expected).
Fields of papers citing papers by Fei Lu
This network shows the impact of papers produced by Fei Lu. 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 Fei Lu. The network helps show where Fei Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei Lu, 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 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 182 | |
| 2 | 2017 | 169 | |
| 3 | 2015 | 99 | |
| 4 | 2013 | 98 | |
| 5 | 2013 | 91 | |
| 6 | 2014 | 87 | |
| 7 | 2020 | 83 | |
| 8 | 2014 | 76 | |
| 9 | 2005 | 74 | |
| 10 | 2013 | 64 | |
| 11 | 2007 | 53 | |
| 12 | 2018 | 52 | |
| 13 | 2019 | 49 | |
| 14 | 2020 | 47 | |
| 15 | 2018 | 45 | |
| 16 | 2018 | 36 | |
| 17 | 2017 | 36 | |
| 18 | 2019 | 34 | |
| 19 | 2018 | 34 | |
| 20 | 2018 | 32 |
About Fei Lu
Fei Lu is a scholar working on Molecular Biology, Cancer Research, Immunology, Oncology and Hematology, having authored 98 papers that have together received 2.2k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (16 papers), RNA modifications and cancer (10 papers), Ubiquitin and proteasome pathways (8 papers), Cancer-related molecular mechanisms research (8 papers), Cancer-related gene regulation (8 papers), Acute Myeloid Leukemia Research (8 papers), RNA Research and Splicing (7 papers) and Cancer-related Molecular Pathways (6 papers). The work is most often cited by research in Cancer Research (441 citations), Molecular Biology (1.4k citations), Oncology (296 citations), Immunology (211 citations) and Hematology (99 citations). Fei Lu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hui Zhang, Hong Sun, Feng Yin, Chunyan Ji, Qianqian Wang, Daoxin Ma, Rongfeng Lan, Zhengshuang Xu, Ken‐Tye Yong and Ye Tao. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports, Frontiers in Immunology, Molecular BioSystems and Blood.
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.