Feng Cai
Impact in
-
- Spine and Intervertebral Disc Pathology
- Spinal Cord Injury Research
- Pharmacology top 2%
- Musculoskeletal pain and rehabilitation
Papers in
-
- Spine and Intervertebral Disc Pathology 22
- Spinal Cord Injury Research 7
- Co-authors
- Xiaotao Wu (4 shared papers)Fei Wang (2 shared papers)Rui Shi (2 shared papers)Liang Chen (16 shared papers)Kun Xi (16 shared papers)Jincheng Tang (15 shared papers)Yong Gu (17 shared papers)Wenguo Cui (9 shared papers)
- Journals
- DNA and Cell Biology (3 papers)Bioactive Materials (2 papers)ACS Nano (2 papers)Oncotarget (2 papers)Nature Communications (2 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Feng Cai
76 papers receiving 2.6k citations
Feng Cai's Hit Papers
Peers
Comparison fields: 5 of 128
- Pathology and Forensic Medicine 841
- Pharmacology 404
- Cancer Research 321
- Biomaterials 216
- Rheumatology 208
Countries citing papers authored by Feng Cai
This map shows the geographic impact of Feng Cai'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 Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Cai more than expected).
Fields of papers citing papers by Feng Cai
This network shows the impact of papers produced by Feng Cai. 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 Cai. The network helps show where Feng Cai may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Cai, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Aging and age related stresses: a senescence mechanism of intervertebral disc degeneration Hit paper breakdown → | 2015 | 405 |
| 2 | 2001 | 296 | |
| 3 | Modulation of Local Overactive Inflammation via Injectable Hydrogel Microspheres Hit paper breakdown → | 2021 | 192 |
| 4 | 2020 | 191 | |
| 5 | 2007 | 120 | |
| 6 | 2015 | 73 | |
| 7 | 2014 | 73 | |
| 8 | 2020 | 69 | |
| 9 | 2022 | 68 | |
| 10 | 2015 | 67 | |
| 11 | 2018 | 65 | |
| 12 | 2011 | 65 | |
| 13 | 2019 | 63 | |
| 14 | 2001 | 47 | |
| 15 | 2000 | 46 | |
| 16 | 2022 | 40 | |
| 17 | 2014 | 40 | |
| 18 | 2018 | 34 | |
| 19 | 2022 | 34 | |
| 20 | 2019 | 31 |
About Feng Cai
Feng Cai is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Biomedical Engineering, Surgery and Pharmacology, having authored 79 papers that have together received 2.7k indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (22 papers), Musculoskeletal pain and rehabilitation (9 papers), Spinal Cord Injury Research (7 papers), Electrospun Nanofibers in Biomedical Applications (4 papers), Medical Imaging and Analysis (4 papers), MicroRNA in disease regulation (4 papers), Nerve injury and regeneration (3 papers) and Anesthesia and Pain Management (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (841 citations), Pharmacology (404 citations), Cancer Research (321 citations), Biomaterials (216 citations) and Rheumatology (208 citations). Feng Cai has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Xiaotao Wu, Fei Wang, Rui Shi, Liang Chen, Kun Xi, Jincheng Tang, Yong Gu, Wenguo Cui, Lianfu Deng and Liang Wu. Their work appears in journals such as DNA and Cell Biology, Bioactive Materials, ACS Nano, Oncotarget and Nature Communications.
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.