Fuming Li
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- Cell Biology top 5%
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- Ubiquitin and proteasome pathways 3
- Metabolism, Diabetes, and Cancer 3
- Wnt/β-catenin signaling in development and cancer 3
- Oncology 9
- Cancer-related Molecular Pathways 6
- Co-authors
- M. Celeste Simon (7 shared papers)Hongbin Ji (11 shared papers)Yijun Gao (8 shared papers)Xiangkun Han (6 shared papers)Haiquan Chen (5 shared papers)Fei Li (5 shared papers)Yan Feng (5 shared papers)Michelle Burrows (3 shared papers)
- Journals
- Nature Communications (4 papers)Cancer Research (3 papers)Nature Cell Biology (2 papers)BMC Health Services Research (2 papers)Computer Integrated Manufacturing Systems (2 papers)
- Partner nations
- ChinaUnited StatesRussia
In The Last Decade
Fuming Li
41 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 103
- Cancer Research 436
- Cell Biology 413
- Molecular Biology 937
- Oncology 300
- Hepatology 68
Countries citing papers authored by Fuming Li
This map shows the geographic impact of Fuming Li'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 Fuming Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fuming Li more than expected).
Fields of papers citing papers by Fuming Li
This network shows the impact of papers produced by Fuming Li. 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 Fuming Li. The network helps show where Fuming Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Fuming Li, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 249 | |
| 2 | 2020 | 155 | |
| 3 | 2020 | 153 | |
| 4 | 2014 | 140 | |
| 5 | 2021 | 127 | |
| 6 | 1987 | 118 | |
| 7 | 2022 | 114 | |
| 8 | 2015 | 109 | |
| 9 | 2014 | 93 | |
| 10 | 2015 | 76 | |
| 11 | 2019 | 75 | |
| 12 | 2017 | 67 | |
| 13 | 2010 | 49 | |
| 14 | 2024 | 45 | |
| 15 | 2012 | 44 | |
| 16 | 2010 | 31 | |
| 17 | 2004 | 29 | |
| 18 | 2020 | 24 | |
| 19 | 2021 | 20 | |
| 20 | 2019 | 15 |
About Fuming Li
Fuming Li is a scholar working on Molecular Biology, Oncology, Cancer Research, Cell Biology and Plant Science, having authored 47 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (7 papers), Cancer-related Molecular Pathways (6 papers), Hippo pathway signaling and YAP/TAZ (5 papers), Advanced Manufacturing and Logistics Optimization (4 papers), Ubiquitin and proteasome pathways (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Wnt/β-catenin signaling in development and cancer (3 papers) and Scheduling and Optimization Algorithms (3 papers). The work is most often cited by research in Cancer Research (436 citations), Cell Biology (413 citations), Molecular Biology (937 citations), Oncology (300 citations) and Hepatology (68 citations). Fuming Li has collaborated with scholars based in China, United States and Russia. Frequent co-authors include M. Celeste Simon, Hongbin Ji, Yijun Gao, Xiangkun Han, Haiquan Chen, Fei Li, Yan Feng, Michelle Burrows, Shun Yao and Pingyu Liu. Their work appears in journals such as Nature Communications, Cancer Research, Nature Cell Biology, BMC Health Services Research and Computer Integrated Manufacturing Systems.
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.