Feng Mu
Impact in
- Developmental Neuroscience top 10%
- Anesthesia and Neurotoxicity Research
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Lung Cancer Diagnosis and Treatment 5
- Medical Imaging and Pathology Studies 4
- Renal cell carcinoma treatment 3
- Oncology 13
- Pancreatic and Hepatic Oncology Research 6
- Cancer Cells and Metastasis 5
- Co-authors
- Kecheng Xu (18 shared papers)Lizhi Niu (15 shared papers)Jibing Chen (17 shared papers)Tianyu Lu (6 shared papers)Kecheng Xu (6 shared papers)Jiansheng Zuo (7 shared papers)Huanming Yang (5 shared papers)Meng Yang (5 shared papers)
- Journals
- Cryobiology (6 papers)OncoTargets and Therapy (3 papers)Nature Machine Intelligence (3 papers)Separation and Purification Technology (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- ChinaDenmarkUnited States
In The Last Decade
Feng Mu
42 papers receiving 615 citations
Peers
Comparison fields: 5 of 74
- Developmental Neuroscience 51
- Hepatology 82
- Oncology 119
- Biotechnology 41
- Surgery 174
Countries citing papers authored by Feng Mu
This map shows the geographic impact of Feng Mu'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 Mu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Mu more than expected).
Fields of papers citing papers by Feng Mu
This network shows the impact of papers produced by Feng Mu. 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 Mu. The network helps show where Feng Mu may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Mu, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 50 | |
| 2 | 2009 | 47 | |
| 3 | 2023 | 42 | |
| 4 | 2012 | 42 | |
| 5 | 2019 | 39 | |
| 6 | 2020 | 34 | |
| 7 | 2013 | 33 | |
| 8 | 2022 | 33 | |
| 9 | 2022 | 29 | |
| 10 | 2013 | 28 | |
| 11 | 2020 | 27 | |
| 12 | 2012 | 22 | |
| 13 | 2013 | 17 | |
| 14 | 2012 | 16 | |
| 15 | 2016 | 16 | |
| 16 | 2019 | 16 | |
| 17 | 2019 | 15 | |
| 18 | 2019 | 13 | |
| 19 | 2022 | 10 | |
| 20 | 2019 | 10 |
About Feng Mu
Feng Mu is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Surgery, Molecular Biology and Hepatology, having authored 46 papers that have together received 635 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Hydrogen's biological and therapeutic effects (7 papers), Pancreatic and Hepatic Oncology Research (6 papers), Cancer Cells and Metastasis (5 papers), Lung Cancer Diagnosis and Treatment (5 papers), Medical Imaging and Pathology Studies (4 papers), Renal cell carcinoma treatment (3 papers) and Cancer Research and Treatments (3 papers). The work is most often cited by research in Developmental Neuroscience (51 citations), Hepatology (82 citations), Oncology (119 citations), Biotechnology (41 citations) and Surgery (174 citations). Feng Mu has collaborated with scholars based in China, Denmark and United States. Frequent co-authors include Kecheng Xu, Lizhi Niu, Jibing Chen, Tianyu Lu, Kecheng Xu, Jiansheng Zuo, Huanming Yang, Meng Yang, Liang Zhou and Youyong Lu. Their work appears in journals such as Cryobiology, OncoTargets and Therapy, Nature Machine Intelligence, Separation and Purification Technology and Frontiers in Immunology.
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.