Fuming Zi
Impact in
- Oncology top 10%
- Peptidase Inhibition and Analysis
- CAR-T cell therapy research
- Cancer-related Molecular Pathways
-
- Protease and Inhibitor Mechanisms
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Protein Degradation and Inhibitors 3
- Ubiquitin and proteasome pathways 3
- Metabolism, Diabetes, and Cancer 2
- Oncology 10
- Peptidase Inhibition and Analysis 4
- Cytokine Signaling Pathways and Interactions 2
- Co-authors
- Zhen Cai (8 shared papers)Jingsong He (4 shared papers)Yi Li (4 shared papers)Donghua He (5 shared papers)Jing Cheng (5 shared papers)Yang Li (2 shared papers)Yi Li (2 shared papers)Li Yu (4 shared papers)
- Journals
- International Immunopharmacology (3 papers)Oncology Reports (2 papers)Oncotarget (2 papers)Bioscience Reports (1 paper)Cellular and Molecular Immunology (1 paper)
- Partner nations
- ChinaUnited StatesSlovenia
In The Last Decade
Fuming Zi
21 papers receiving 597 citations
Peers
Comparison fields: 5 of 84
- Oncology 286
- Cancer Research 156
- Hematology 82
- Molecular Biology 310
- Immunology 85
Countries citing papers authored by Fuming Zi
This map shows the geographic impact of Fuming Zi'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 Zi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fuming Zi more than expected).
Fields of papers citing papers by Fuming Zi
This network shows the impact of papers produced by Fuming Zi. 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 Zi. The network helps show where Fuming Zi may publish in the future.
Co-authors
The 25 scholars most cited alongside Fuming Zi, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 129 | |
| 2 | 2015 | 107 | |
| 3 | 2014 | 50 | |
| 4 | 2019 | 40 | |
| 5 | 2012 | 33 | |
| 6 | 2019 | 33 | |
| 7 | 2016 | 30 | |
| 8 | 2021 | 26 | |
| 9 | 2017 | 23 | |
| 10 | 2014 | 22 | |
| 11 | 2022 | 20 | |
| 12 | 2021 | 18 | |
| 13 | 2018 | 17 | |
| 14 | 2019 | 16 | |
| 15 | 2018 | 16 | |
| 16 | 2020 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2017 | 2 | |
| 20 | 2024 | 1 |
About Fuming Zi
Fuming Zi is a scholar working on Molecular Biology, Oncology, Cancer Research, Hematology and Immunology, having authored 21 papers that have together received 600 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (4 papers), Protein Degradation and Inhibitors (3 papers), Cancer-related molecular mechanisms research (3 papers), Multiple Myeloma Research and Treatments (3 papers), Ubiquitin and proteasome pathways (3 papers), Pancreatic function and diabetes (2 papers), Metabolism, Diabetes, and Cancer (2 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Oncology (286 citations), Cancer Research (156 citations), Hematology (82 citations), Molecular Biology (310 citations) and Immunology (85 citations). Fuming Zi has collaborated with scholars based in China, United States and Slovenia. Frequent co-authors include Zhen Cai, Jingsong He, Yi Li, Donghua He, Jing Cheng, Yang Li, Yi Li, Li Yu, Li Yang and Yi Zhao. Their work appears in journals such as International Immunopharmacology, Oncology Reports, Oncotarget, Bioscience Reports and Cellular and Molecular 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.