Fengli Hu
Impact in
- Pathology and Forensic Medicine top 10%
- Cancer Mechanisms and Therapy
- Multiple Sclerosis Research Studies
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 3
-
- Autophagy in Disease and Therapy 5
- Co-authors
- Bo Zhai (4 shared papers)Jun Xu (2 shared papers)Shangha Pan (3 shared papers)Yanli Zhang (1 shared paper)Kai Li (1 shared paper)Huihui Li (1 shared paper)Dali Zhao (2 shared papers)Xueying Sun (2 shared papers)
- Journals
- PLoS ONE (3 papers)Molecular Cancer Therapeutics (1 paper)Scientific Reports (1 paper)RSC Advances (1 paper)Aging (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Fengli Hu
18 papers receiving 647 citations
Peers
Comparison fields: 5 of 77
- Pathology and Forensic Medicine 174
- Hepatology 74
- Cancer Research 136
- Molecular Biology 361
- Oncology 130
Countries citing papers authored by Fengli Hu
This map shows the geographic impact of Fengli Hu'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 Fengli Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengli Hu more than expected).
Fields of papers citing papers by Fengli Hu
This network shows the impact of papers produced by Fengli Hu. 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 Fengli Hu. The network helps show where Fengli Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Fengli Hu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 245 | |
| 2 | 2019 | 99 | |
| 3 | 2017 | 86 | |
| 4 | 2013 | 68 | |
| 5 | 2015 | 46 | |
| 6 | 2020 | 30 | |
| 7 | 2012 | 26 | |
| 8 | 2020 | 12 | |
| 9 | 2006 | 11 | |
| 10 | 2022 | 6 | |
| 11 | 2024 | 4 | |
| 12 | 2006 | 4 | |
| 13 | 2019 | 4 | |
| 14 | 2023 | 4 | |
| 15 | Relativity between asymmetric nuclear division and strain degeneration in Volvariella volvacea. | 2015 | 1 |
| 16 | Sexual life cycle of Volvariella volvacea revealed by investigation of the random migration of tetrad. | 2017 | 1 |
| 17 | Robust Color Histogram Image Retrieval Based on Bit-plane | 2007 | 1 |
| 18 | 2025 | 1 | |
| 19 | A Robust Color Image Retrieval Based on Significant Bit-plane | 2007 | 1 |
| 20 | 2025 | 0 |
About Fengli Hu
Fengli Hu is a scholar working on Molecular Biology, Epidemiology, Pathology and Forensic Medicine, Computer Vision and Pattern Recognition and Cell Biology, having authored 20 papers that have together received 650 indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (5 papers), Image Retrieval and Classification Techniques (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Cancer Mechanisms and Therapy (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (174 citations), Hepatology (74 citations), Cancer Research (136 citations), Molecular Biology (361 citations) and Oncology (130 citations). Fengli Hu has collaborated with scholars based in China and United States. Frequent co-authors include Bo Zhai, Jun Xu, Shangha Pan, Yanli Zhang, Kai Li, Huihui Li, Dali Zhao, Xueying Sun, Bo Zhai and Gang Tan. Their work appears in journals such as PLoS ONE, Molecular Cancer Therapeutics, Scientific Reports, RSC Advances and Aging.
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.