Fa Yang
Impact in
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- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
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- Immune cells in cancer
Papers in
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- Immune cells in cancer 5
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- Prostate Cancer Treatment and Research 7
- Ferroptosis and cancer prognosis 3
- Prostate Cancer Diagnosis and Treatment 3
- Co-authors
- Weihong Wen (29 shared papers)Donghui Han (27 shared papers)Weijun Qin (24 shared papers)Weijun Qin (5 shared papers)Jingliang Zhang (9 shared papers)Dian Jiao (11 shared papers)Jieheng Wu (9 shared papers)Shengjia Shi (8 shared papers)
- Journals
- Theranostics (3 papers)Frontiers in Oncology (3 papers)Aging (2 papers)Scientific Reports (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Fa Yang
37 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 82
- Oncology 233
- Immunology 183
- Cancer Research 107
- Pulmonary and Respiratory Medicine 211
- Molecular Biology 386
Countries citing papers authored by Fa Yang
This map shows the geographic impact of Fa Yang'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 Fa Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fa Yang more than expected).
Fields of papers citing papers by Fa Yang
This network shows the impact of papers produced by Fa Yang. 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 Fa Yang. The network helps show where Fa Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Fa Yang, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 127 | |
| 2 | 2020 | 85 | |
| 3 | 2016 | 68 | |
| 4 | 2019 | 59 | |
| 5 | 2020 | 58 | |
| 6 | 2018 | 57 | |
| 7 | 2021 | 49 | |
| 8 | 2022 | 49 | |
| 9 | 2019 | 47 | |
| 10 | 2022 | 43 | |
| 11 | 2016 | 37 | |
| 12 | 2023 | 36 | |
| 13 | 2020 | 31 | |
| 14 | 2016 | 29 | |
| 15 | 2023 | 23 | |
| 16 | 2024 | 19 | |
| 17 | 2021 | 19 | |
| 18 | 2022 | 18 | |
| 19 | 2022 | 16 | |
| 20 | 2022 | 14 |
About Fa Yang
Fa Yang is a scholar working on Immunology, Pulmonary and Respiratory Medicine, Oncology, Molecular Biology and Cancer Research, having authored 38 papers that have together received 1.0k indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (7 papers), Immune cells in cancer (5 papers), Epigenetics and DNA Methylation (4 papers), Ferroptosis and cancer prognosis (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Oncology (233 citations), Immunology (183 citations), Cancer Research (107 citations), Pulmonary and Respiratory Medicine (211 citations) and Molecular Biology (386 citations). Fa Yang has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Weihong Wen, Donghui Han, Weijun Qin, Weijun Qin, Jingliang Zhang, Dian Jiao, Jieheng Wu, Shengjia Shi, Angang Yang and Aizhi Zhao. Their work appears in journals such as Theranostics, Frontiers in Oncology, Aging, Scientific Reports and Oncotarget.
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.