Feng Mao
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Oncology 33
- HER2/EGFR in Cancer Research 8
- Cancer Cells and Metastasis 6
-
- Glycosylation and Glycoproteins Research 10
- Co-authors
- Wenqing Xu (2 shared papers)David Kimelman (2 shared papers)Thomas A. Graham (2 shared papers)Wen‐Ping Wang (30 shared papers)Carole Weaver (1 shared paper)Yi Dong (22 shared papers)Hong Ding (10 shared papers)Denise M. Ferkey (1 shared paper)
- Journals
- Frontiers in Oncology (11 papers)BioMed Research International (4 papers)Ultrasound in Medicine & Biology (4 papers)International Journal of Oncology (3 papers)Oncotarget (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Feng Mao
140 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 110
- Hepatology 252
- Cancer Research 330
- Oncology 545
- Molecular Biology 995
- Radiology, Nuclear Medicine and Imaging 219
Countries citing papers authored by Feng Mao
This map shows the geographic impact of Feng Mao'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 Feng Mao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Mao more than expected).
Fields of papers citing papers by Feng Mao
This network shows the impact of papers produced by Feng Mao. 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 Feng Mao. The network helps show where Feng Mao may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Mao, 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 149 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 345 | |
| 2 | 2001 | 164 | |
| 3 | 2011 | 135 | |
| 4 | 2011 | 85 | |
| 5 | 2018 | 69 | |
| 6 | 2013 | 65 | |
| 7 | 2016 | 60 | |
| 8 | 2017 | 56 | |
| 9 | 2018 | 50 | |
| 10 | 2013 | 46 | |
| 11 | 2011 | 43 | |
| 12 | 2014 | 42 | |
| 13 | 2017 | 39 | |
| 14 | 2009 | 38 | |
| 15 | 2021 | 38 | |
| 16 | 2013 | 38 | |
| 17 | 2020 | 37 | |
| 18 | 2005 | 36 | |
| 19 | 2015 | 36 | |
| 20 | 2013 | 35 |
About Feng Mao
Feng Mao is a scholar working on Oncology, Molecular Biology, Hepatology, Surgery and Genetics, having authored 149 papers that have together received 2.7k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (20 papers), Glioma Diagnosis and Treatment (14 papers), Glycosylation and Glycoproteins Research (10 papers), HER2/EGFR in Cancer Research (8 papers), Breast Lesions and Carcinomas (8 papers), Liver Disease Diagnosis and Treatment (7 papers), Cancer Cells and Metastasis (6 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers). The work is most often cited by research in Hepatology (252 citations), Cancer Research (330 citations), Oncology (545 citations), Molecular Biology (995 citations) and Radiology, Nuclear Medicine and Imaging (219 citations). Feng Mao has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Wenqing Xu, David Kimelman, Thomas A. Graham, Wen‐Ping Wang, Carole Weaver, Yi Dong, Hong Ding, Denise M. Ferkey, Yidong Zhou and Beijian Huang. Their work appears in journals such as Frontiers in Oncology, BioMed Research International, Ultrasound in Medicine & Biology, International Journal of Oncology and Oncotarget.
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.