Jiani Yang
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 5
- Cancer, Lipids, and Metabolism 5
- Biomedical Engineering top 5%
- Nanoplatforms for cancer theranostics 9
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment 10
- Oncology top 10%
- Inflammatory Biomarkers in Disease Prognosis 5
- Biomaterials top 10%
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- Ferroptosis and cancer prognosis 10
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- Immune cells in cancer 8
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- Radiomics and Machine Learning in Medical Imaging 6
- Journals
- Journal of Ovarian Research (4 papers)Advanced Science (4 papers)Advanced Materials (3 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Jiani Yang
63 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Cancer Research 241
- Biomedical Engineering 575
- Reproductive Medicine 102
- Oncology 302
- Biomaterials 133
Countries citing papers authored by Jiani Yang
This map shows the geographic impact of Jiani 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 Jiani Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiani Yang more than expected).
Fields of papers citing papers by Jiani Yang
This network shows the impact of papers produced by Jiani 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 Jiani Yang. The network helps show where Jiani Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jiani 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 12 | |
| 5 | 2024 | 18 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 8 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 22 | |
| 10 | 2023 | 7 | |
| 11 | 2023 | 44 | |
| 12 | 2023 | 39 | |
| 13 | 2023 | 66 | |
| 14 | 2023 | 17 | |
| 15 | 2023 | 28 | |
| 16 | 2022 | 20 | |
| 17 | 2021 | 21 | |
| 18 | 2019 | 1 | |
| 19 | 2019 | 23 | |
| 20 | 2019 | 11 |
About Jiani Yang
Jiani Yang is a scholar working on Cancer Research, Reproductive Medicine, Oncology, Immunology and Geriatrics and Gerontology, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (10 papers), Ovarian cancer diagnosis and treatment (10 papers), Nanoplatforms for cancer theranostics (9 papers), Immune cells in cancer (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Cancer-related molecular mechanisms research (5 papers), Cancer, Lipids, and Metabolism (5 papers) and Inflammatory Biomarkers in Disease Prognosis (5 papers). The work is most often cited by research in Cancer Research (241 citations), Biomedical Engineering (575 citations), Reproductive Medicine (102 citations), Oncology (302 citations) and Biomaterials (133 citations). Jiani Yang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Shanshan Cheng, Yanqiao Zhang, Yaqian Du, Piaoping Yang, Fei He, Yuanfei Yao, Yue Jin, Jun Lin, Yu Wang and Jinfeng Zhang. Their work appears in journals such as Journal of Ovarian Research, Advanced Science, Advanced Materials, Frontiers in Cell and Developmental Biology and Advanced Functional Materials.
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.