Feng Shi
Impact in
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
- Oncology 18
- Cancer Immunotherapy and Biomarkers 12
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- Natural product bioactivities and synthesis 4
- Co-authors
- Jane Sottile (5 shared papers)Ji‐Yuan Zhang (3 shared papers)Fu‐Sheng Wang (2 shared papers)Hou‐Yu Chiang (2 shared papers)Po Tien (2 shared papers)Ming Shi (1 shared paper)Zhen Zeng (1 shared paper)Yongping Yang (1 shared paper)
- Journals
- Molecules (3 papers)Medicine (2 papers)Journal of Immunology Research (2 papers)Parasitology Research (2 papers)Breast Cancer Targets and Therapy (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Feng Shi
61 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 106
- Immunology and Allergy 251
- Hepatology 293
- Immunology 512
- Oncology 534
- Cell Biology 252
Countries citing papers authored by Feng Shi
This map shows the geographic impact of Feng Shi'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 Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Shi more than expected).
Fields of papers citing papers by Feng Shi
This network shows the impact of papers produced by Feng Shi. 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 Shi. The network helps show where Feng Shi may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Shi, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 382 | |
| 2 | 2009 | 321 | |
| 3 | 2008 | 199 | |
| 4 | 2007 | 159 | |
| 5 | 2011 | 150 | |
| 6 | 2018 | 147 | |
| 7 | 2009 | 140 | |
| 8 | 2010 | 95 | |
| 9 | 2010 | 75 | |
| 10 | 2021 | 50 | |
| 11 | 2020 | 41 | |
| 12 | 2010 | 37 | |
| 13 | 2010 | 27 | |
| 14 | Chemoprevention by Prunella vulgaris L. extract of non-small cell lung cancer via promoting apoptosis and regulating the cell cycle. | 2010 | 26 |
| 15 | 2010 | 25 | |
| 16 | 2013 | 24 | |
| 17 | 2018 | 23 | |
| 18 | 2020 | 22 | |
| 19 | 2018 | 21 | |
| 20 | 2014 | 19 |
About Feng Shi
Feng Shi is a scholar working on Oncology, Molecular Biology, Surgery, Immunology and Pulmonary and Respiratory Medicine, having authored 67 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (12 papers), Immune Cell Function and Interaction (6 papers), Esophageal Cancer Research and Treatment (5 papers), Cell Adhesion Molecules Research (5 papers), Immunotherapy and Immune Responses (4 papers), Natural product bioactivities and synthesis (4 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers) and Parasitic infections in humans and animals (3 papers). The work is most often cited by research in Immunology and Allergy (251 citations), Hepatology (293 citations), Immunology (512 citations), Oncology (534 citations) and Cell Biology (252 citations). Feng Shi has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jane Sottile, Ji‐Yuan Zhang, Fu‐Sheng Wang, Hou‐Yu Chiang, Po Tien, Ming Shi, Zhen Zeng, Yongping Yang, Ruizhao Qi and Huifen Wang. Their work appears in journals such as Molecules, Medicine, Journal of Immunology Research, Parasitology Research and Breast Cancer Targets and Therapy.
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.