Junyi Hu
Impact in
- Cancer Research top 10%
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in ⓘ
-
- Cancer, Lipids, and Metabolism 4
- Oncology 10
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Ke Chen (13 shared papers)Lilong Liu (15 shared papers)Yaxin Hou (11 shared papers)Lijie Zhou (7 shared papers)Ming Xiong (5 shared papers)Zhaohui Chen (6 shared papers)Yu Yang (2 shared papers)Zhen Tao (4 shared papers)
- Journals
- Journal of Energy Storage (3 papers)Nature Communications (2 papers)Journal of Asian Natural Products Research (2 papers)Molecular Therapy (2 papers)Frontiers in Oncology (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Junyi Hu
40 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Cancer Research 235
- Oncology 330
- Immunology 242
- Pulmonary and Respiratory Medicine 239
- Molecular Biology 499
Countries citing papers authored by Junyi Hu
This map shows the geographic impact of Junyi Hu'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 Junyi Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyi Hu more than expected).
Fields of papers citing papers by Junyi Hu
This network shows the impact of papers produced by Junyi Hu. 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 Junyi Hu. The network helps show where Junyi Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junyi Hu, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Single-cell RNA sequencing highlights the role of inflammatory cancer-associated fibroblasts in bladder urothelial carcinoma Hit paper breakdown → | 2020 | 412 |
| 2 | 2020 | 121 | |
| 3 | 2020 | 74 | |
| 4 | 2020 | 53 | |
| 5 | 2022 | 41 | |
| 6 | 2021 | 37 | |
| 7 | 2023 | 32 | |
| 8 | 2019 | 28 | |
| 9 | 2021 | 25 | |
| 10 | 2014 | 21 | |
| 11 | 2021 | 19 | |
| 12 | 2020 | 19 | |
| 13 | 2007 | 18 | |
| 14 | 2021 | 17 | |
| 15 | 2022 | 16 | |
| 16 | 2020 | 15 | |
| 17 | 2021 | 11 | |
| 18 | 2013 | 9 | |
| 19 | 2021 | 8 | |
| 20 | 2009 | 8 |
About Junyi Hu
Junyi Hu is a scholar working on Cancer Research, Oncology, Immunology, Endocrine and Autonomic Systems and Biochemistry, having authored 43 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (6 papers), Natural product bioactivities and synthesis (4 papers), Cancer, Lipids, and Metabolism (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Phytochemistry and Biological Activities (4 papers), Immune cells in cancer (4 papers), COVID-19 Clinical Research Studies (4 papers) and Supercapacitor Materials and Fabrication (3 papers). The work is most often cited by research in Cancer Research (235 citations), Oncology (330 citations), Immunology (242 citations), Pulmonary and Respiratory Medicine (239 citations) and Molecular Biology (499 citations). Junyi Hu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Ke Chen, Lilong Liu, Yaxin Hou, Lijie Zhou, Ming Xiong, Zhaohui Chen, Yu Yang, Zhen Tao, Xiong Yang and Zhengshuai Song. Their work appears in journals such as Journal of Energy Storage, Nature Communications, Journal of Asian Natural Products Research, Molecular Therapy and Frontiers in Oncology.
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.