Shi Hu
- Molecular Biology top 10%
- Oncology top 5%
- Immunology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Infectious Diseases top 5%
- Co-authors
- Wenyan FuChanghai LeiKewen QianMin DingLi TianSheng ZhangFangxing LinYafeng Shen
- Topics
- Monoclonal and Polyclonal Antibodies Research (16 papers)HER2/EGFR in Cancer Research (7 papers)CAR-T cell therapy research (7 papers)
- Journals
- Journal of Biological ChemistryNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Shi Hu
51 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 832
- Oncology 474
- Immunology 441
- Radiology, Nuclear Medicine and Imaging 338
- Infectious Diseases 338
Countries citing papers authored by Shi Hu
This map shows the geographic impact of Shi 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 Shi Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shi Hu more than expected).
Fields of papers citing papers by Shi Hu
This network shows the impact of papers produced by Shi 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 Shi Hu. The network helps show where Shi Hu may publish in the future.
Co-authorship network of co-authors of Shi Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Shi Hu. A scholar is included among the top collaborators of Shi Hu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shi Hu. Shi Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 19 | |
| 6 | 18 | |
| 7 | 26 | |
| 8 | 5 | |
| 9 | 12 | |
| 10 | 10 | |
| 11 | 5 | |
| 12 | Simple and Accurate Uncertainty Quantification from Bias-Variance Decomposition | 1 |
| 13 | 29 | |
| 14 | Development and Validation of Nomograms for Predicting the Prognosis of Triple-Negative Breast Cancer Patients Based on 379 Chinese Patients | 1 |
| 15 | Association Between Glucose Metabolism And Vascular Aging In Chinese Adults: A Cross-Sectional Analysis In The Tianning Cohort Study | 1 |
| 16 | 66 | |
| 17 | 85 | |
| 18 | 47 | |
| 19 | 8 | |
| 20 | 28 |
About Shi Hu
Shi Hu is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 53 papers that have together received 1.7k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (16 papers), HER2/EGFR in Cancer Research (7 papers) and CAR-T cell therapy research (7 papers). The work is most often cited by research in Immunology (441 citations), Cancer Research (285 citations) and Infectious Diseases (338 citations). Shi Hu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Wenyan Fu, Changhai Lei, Kewen Qian, Min Ding, Li Tian, Sheng Zhang, Fangxing Lin, Yafeng Shen, Xuting Ye and Yongji Yang. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.
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.