Jiahao Gao
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- Radiomics and Machine Learning in Medical Imaging 5
- Advanced MRI Techniques and Applications 2
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- Pancreatic and Hepatic Oncology Research 2
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- Renal cell carcinoma treatment 4
- Ferroptosis and cancer prognosis 4
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- RNA Research and Splicing 3
- RNA modifications and cancer 2
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- Glioma Diagnosis and Treatment 2
- Co-authors
- Fang HanJiawen ZhangFangdie YeHaowen JiangXiaoshuang WangYingying JinYufei LiuYingchun Liang
- Journals
- Frontiers in Immunology (3 papers)Frontiers in Oncology (3 papers)Nucleic Acids Research (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Jiahao Gao
20 papers receiving 252 citations
Peers
Comparison fields: 5 of 65
- Radiology, Nuclear Medicine and Imaging 71
- Cancer Research 43
- Oncology 62
- Behavioral Neuroscience 7
- Pulmonary and Respiratory Medicine 59
Countries citing papers authored by Jiahao Gao
This map shows the geographic impact of Jiahao Gao'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 Jiahao Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiahao Gao more than expected).
Fields of papers citing papers by Jiahao Gao
This network shows the impact of papers produced by Jiahao Gao. 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 Jiahao Gao. The network helps show where Jiahao Gao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jiahao Gao, 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 | 1 | |
| 2 | 2025 | 6 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 5 | |
| 10 | 2023 | 7 | |
| 11 | 2022 | 12 | |
| 12 | 2022 | 19 | |
| 13 | 2022 | 0 | |
| 14 | 2021 | 10 | |
| 15 | 2021 | 7 | |
| 16 | 2021 | 31 | |
| 17 | 2020 | 11 | |
| 18 | 2020 | 29 | |
| 19 | 2019 | 39 | |
| 20 | 2019 | 49 |
About Jiahao Gao
Jiahao Gao is a scholar working on Process Chemistry and Technology, Radiology, Nuclear Medicine and Imaging, Genetics, Pulmonary and Respiratory Medicine and Urology, having authored 22 papers that have together received 254 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (5 papers), Renal cell carcinoma treatment (4 papers), Ferroptosis and cancer prognosis (4 papers), RNA Research and Splicing (3 papers), Glioma Diagnosis and Treatment (2 papers), Advanced MRI Techniques and Applications (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (71 citations), Cancer Research (43 citations), Oncology (62 citations), Behavioral Neuroscience (7 citations) and Pulmonary and Respiratory Medicine (59 citations). Jiahao Gao has collaborated with scholars based in China and United States. Frequent co-authors include Fang Han, Jiawen Zhang, Fangdie Ye, Haowen Jiang, Xiaoshuang Wang, Yingying Jin, Yufei Liu, Yingchun Liang, Yuxi Ou and Cheng Zhang. Their work appears in journals such as Frontiers in Immunology, Frontiers in Oncology, Nucleic Acids Research, British Journal of Cancer and Insights into Imaging.
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.