Pin Yi
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Immunology top 10%
- Immune cells in cancer
Papers in
-
- Circular RNAs in diseases 3
- Heat shock proteins research 2
- Extracellular vesicles in disease 1
-
- MicroRNA in disease regulation 3
- Cancer, Hypoxia, and Metabolism 2
- Co-authors
- Shan Rao (9 shared papers)Qianjin Liao (9 shared papers)Linda Oyang (9 shared papers)Yujuan Zhou (9 shared papers)Jiaxin Liang (8 shared papers)Jinguan Lin (8 shared papers)Shiming Tan (8 shared papers)Longzheng Xia (8 shared papers)
- Journals
- Journal of Cancer (2 papers)Frontiers in Oncology (2 papers)Molecular Cancer (1 paper)Transfusion (1 paper)Journal of Experimental & Clinical Cancer Research (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Pin Yi
13 papers receiving 1.4k citations
Pin Yi's Hit Papers
Peers
Comparison fields: 5 of 94
- Cancer Research 550
- Immunology 272
- Molecular Biology 707
- Oncology 229
- Pulmonary and Respiratory Medicine 165
Countries citing papers authored by Pin Yi
This map shows the geographic impact of Pin Yi'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 Pin Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pin Yi more than expected).
Fields of papers citing papers by Pin Yi
This network shows the impact of papers produced by Pin Yi. 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 Pin Yi. The network helps show where Pin Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Pin Yi, 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 | The cancer metabolic reprogramming and immune response Hit paper breakdown → | 2021 | 892 |
| 2 | 2020 | 151 | |
| 3 | 2022 | 75 | |
| 4 | 2021 | 74 | |
| 5 | 2019 | 56 | |
| 6 | 2021 | 37 | |
| 7 | 2020 | 33 | |
| 8 | 2020 | 28 | |
| 9 | 2020 | 21 | |
| 10 | 2020 | 19 | |
| 11 | 2019 | 12 | |
| 12 | 2023 | 2 | |
| 13 | 2021 | 2 | |
| 14 | 2023 | 0 |
About Pin Yi
Pin Yi is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Hematology and Physiology, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (3 papers), Circular RNAs in diseases (3 papers), MicroRNA in disease regulation (3 papers), Heat shock proteins research (2 papers), Blood groups and transfusion (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Extracellular vesicles in disease (1 paper). The work is most often cited by research in Cancer Research (550 citations), Immunology (272 citations), Molecular Biology (707 citations), Oncology (229 citations) and Pulmonary and Respiratory Medicine (165 citations). Pin Yi has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shan Rao, Qianjin Liao, Linda Oyang, Yujuan Zhou, Jiaxin Liang, Jinguan Lin, Shiming Tan, Longzheng Xia, Qing Pan and Lu Tang. Their work appears in journals such as Journal of Cancer, Frontiers in Oncology, Molecular Cancer, Transfusion and Journal of Experimental & Clinical Cancer Research.
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.