Yuning J. Tang
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
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- Bone health and treatments
- Cancer Cells and Metastasis
Papers in
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- CRISPR and Genetic Engineering 3
- RNA modifications and cancer 3
- Single-cell and spatial transcriptomics 2
- Oncology 6
- Cancer Cells and Metastasis 4
- CAR-T cell therapy research 2
- Co-authors
- Benjamin A. Alman (9 shared papers)Vijitha Puviindran (6 shared papers)Hongyuan Zhang (6 shared papers)Puviindran Nadesan (4 shared papers)Yasuhito Yahara (3 shared papers)Yarui Diao (2 shared papers)Simon G. Gregory (1 shared paper)Tomokazu Souma (1 shared paper)
- Journals
- Journal of Bone and Mineral Research (2 papers)Cell Reports (2 papers)JCI Insight (2 papers)Scientific Reports (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Yuning J. Tang
18 papers receiving 321 citations
Peers
Comparison fields: 5 of 69
- Cancer Research 83
- Oncology 94
- Immunology 70
- Rheumatology 44
- Molecular Biology 192
Countries citing papers authored by Yuning J. Tang
This map shows the geographic impact of Yuning J. Tang'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 Yuning J. Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuning J. Tang more than expected).
Fields of papers citing papers by Yuning J. Tang
This network shows the impact of papers produced by Yuning J. Tang. 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 Yuning J. Tang. The network helps show where Yuning J. Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuning J. Tang, 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 | 2020 | 134 | |
| 2 | 2016 | 34 | |
| 3 | 2019 | 24 | |
| 4 | 2020 | 22 | |
| 5 | 2018 | 21 | |
| 6 | 2015 | 17 | |
| 7 | 2019 | 16 | |
| 8 | 2020 | 12 | |
| 9 | 2023 | 10 | |
| 10 | 2023 | 8 | |
| 11 | 2022 | 7 | |
| 12 | 2023 | 5 | |
| 13 | 2025 | 3 | |
| 14 | 2021 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2022 | 1 | |
| 19 | 2024 | 0 | |
| 20 | 2025 | 0 |
About Yuning J. Tang
Yuning J. Tang is a scholar working on Molecular Biology, Oncology, Cancer Research, Immunology and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 322 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (4 papers), Cancer-related molecular mechanisms research (3 papers), CRISPR and Genetic Engineering (3 papers), Sarcoma Diagnosis and Treatment (3 papers), RNA modifications and cancer (3 papers), Single-cell and spatial transcriptomics (2 papers), Virus-based gene therapy research (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Cancer Research (83 citations), Oncology (94 citations), Immunology (70 citations), Rheumatology (44 citations) and Molecular Biology (192 citations). Yuning J. Tang has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Benjamin A. Alman, Vijitha Puviindran, Hongyuan Zhang, Puviindran Nadesan, Yasuhito Yahara, Yarui Diao, Simon G. Gregory, Tomokazu Souma, Yu Xiang and Mari L. Shinohara. Their work appears in journals such as Journal of Bone and Mineral Research, Cell Reports, JCI Insight, Scientific Reports and 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.