Jiya Sun
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
Papers in
- Oncology 8
- Cancer Immunotherapy and Biomarkers 7
- CAR-T cell therapy research 2
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- Tuberculosis Research and Epidemiology 2
- Co-authors
- Aiping Wu (6 shared papers)Taijiao Jiang (2 shared papers)F. Xiao‐Feng Qin (1 shared paper)Anfei Huang (1 shared paper)Ziyi Chen (1 shared paper)Hongxing Lei (8 shared papers)Yong Duan (7 shared papers)Xuemei Feng (6 shared papers)
- Journals
- Frontiers in Microbiology (3 papers)Journal of Alzheimer s Disease (3 papers)Journal of Thoracic Oncology (3 papers)Cell stem cell (2 papers)Genomics Proteomics & Bioinformatics (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jiya Sun
37 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 86
- Oncology 329
- Immunology 199
- Aging 10
- Neurology 40
- Molecular Biology 330
Countries citing papers authored by Jiya Sun
This map shows the geographic impact of Jiya Sun'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 Jiya Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiya Sun more than expected).
Fields of papers citing papers by Jiya Sun
This network shows the impact of papers produced by Jiya Sun. 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 Jiya Sun. The network helps show where Jiya Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiya Sun, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 178 | |
| 2 | 2021 | 114 | |
| 3 | 2022 | 95 | |
| 4 | 2019 | 78 | |
| 5 | 2012 | 65 | |
| 6 | 2023 | 65 | |
| 7 | 2023 | 57 | |
| 8 | 2020 | 54 | |
| 9 | 2022 | 46 | |
| 10 | 2012 | 38 | |
| 11 | 2014 | 35 | |
| 12 | 2024 | 34 | |
| 13 | 2021 | 33 | |
| 14 | 2021 | 25 | |
| 15 | 2014 | 22 | |
| 16 | 2015 | 20 | |
| 17 | 2014 | 14 | |
| 18 | 片親胚の単一細胞トランスクリプトーム解析はヒト着床前発生に対する親起源効果を明らかにする【JST・京大機械翻訳】 | 2019 | 13 |
| 19 | 2019 | 13 | |
| 20 | 2025 | 12 |
About Jiya Sun
Jiya Sun is a scholar working on Oncology, Infectious Diseases, Immunology, Molecular Biology and Epidemiology, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), Bioinformatics and Genomic Networks (4 papers), Alzheimer's disease research and treatments (4 papers), Immune Cell Function and Interaction (3 papers), Tuberculosis Research and Epidemiology (2 papers), CAR-T cell therapy research (2 papers), Influenza Virus Research Studies (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Oncology (329 citations), Immunology (199 citations), Aging (10 citations), Neurology (40 citations) and Molecular Biology (330 citations). Jiya Sun has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Aiping Wu, Taijiao Jiang, F. Xiao‐Feng Qin, Anfei Huang, Ziyi Chen, Hongxing Lei, Yong Duan, Xuemei Feng, Guangchun Han and Dapeng Liang. Their work appears in journals such as Frontiers in Microbiology, Journal of Alzheimer s Disease, Journal of Thoracic Oncology, Cell stem cell and Genomics Proteomics & Bioinformatics.
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.