Yanan Pi
Impact in
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- Cancer-related molecular mechanisms research
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- Protein Degradation and Inhibitors
- RNA modifications and cancer
- Ubiquitin and proteasome pathways
- Extracellular vesicles in disease
Papers in
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- Ubiquitin and proteasome pathways 4
- Histone Deacetylase Inhibitors Research 3
- RNA Research and Splicing 1
- Epigenetics and DNA Methylation 1
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- Ferroptosis and cancer prognosis 2
- Co-authors
- Nanjun Hu (1 shared paper)Kang Chen (1 shared paper)Yu Gao (1 shared paper)Ge Lou (4 shared papers)Leng Han (1 shared paper)Weilin Jin (3 shared papers)Chang Yang (2 shared papers)Tianbo Liu (1 shared paper)
- Journals
- Frontiers in Oncology (2 papers)Frontiers in Immunology (2 papers)Biochemical Pharmacology (1 paper)Signal Transduction and Targeted Therapy (1 paper)Cancer Cell International (1 paper)
- Partner nations
- China
In The Last Decade
Yanan Pi
11 papers receiving 400 citations
Yanan Pi's Hit Papers
Peers
Comparison fields: 5 of 66
- Cancer Research 83
- Molecular Biology 197
- Oncology 58
- Hematology 21
- Immunology 37
Countries citing papers authored by Yanan Pi
This map shows the geographic impact of Yanan Pi'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 Yanan Pi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanan Pi more than expected).
Fields of papers citing papers by Yanan Pi
This network shows the impact of papers produced by Yanan Pi. 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 Yanan Pi. The network helps show where Yanan Pi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanan Pi, 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 | Bromodomain and extraterminal (BET) proteins: biological functions, diseases and targeted therapy Hit paper breakdown → | 2023 | 118 |
| 2 | 2019 | 111 | |
| 3 | 2021 | 49 | |
| 4 | 2021 | 32 | |
| 5 | 2023 | 24 | |
| 6 | 2022 | 24 | |
| 7 | 2022 | 23 | |
| 8 | 2021 | 8 | |
| 9 | 2021 | 7 | |
| 10 | 2021 | 4 | |
| 11 | 2023 | 2 | |
| 12 | 2025 | 0 | |
| 13 | 2025 | 0 | |
| 14 | 2024 | 0 |
About Yanan Pi
Yanan Pi is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Biomedical Engineering and Geriatrics and Gerontology, having authored 14 papers that have together received 402 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Histone Deacetylase Inhibitors Research (3 papers), Ferroptosis and cancer prognosis (2 papers), Cancer-related molecular mechanisms research (2 papers), Endometrial and Cervical Cancer Treatments (1 paper), RNA Research and Splicing (1 paper), Epigenetics and DNA Methylation (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Cancer Research (83 citations), Molecular Biology (197 citations), Oncology (58 citations), Hematology (21 citations) and Immunology (37 citations). Yanan Pi has collaborated with scholars based in China. Frequent co-authors include Nanjun Hu, Kang Chen, Yu Gao, Ge Lou, Leng Han, Weilin Jin, Chang Yang, Tianbo Liu, Shenghan Lou and Yuyang Wu. Their work appears in journals such as Frontiers in Oncology, Frontiers in Immunology, Biochemical Pharmacology, Signal Transduction and Targeted Therapy and Cancer Cell International.
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.