Linfei Hu
Impact in
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- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
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- Thyroid Cancer Diagnosis and Treatment
Papers in
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- Protein Tyrosine Phosphatases 4
- RNA modifications and cancer 3
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- Thyroid Cancer Diagnosis and Treatment 11
- Co-authors
- Ming Gao (24 shared papers)Xianhui Ruan (22 shared papers)Xiukun Hou (15 shared papers)Xiangqian Zheng (17 shared papers)Jingtai Zhi (14 shared papers)Xi Wei (7 shared papers)Xianle Shi (2 shared papers)Jingzhu Zhao (7 shared papers)
- Journals
- Cell Death and Disease (5 papers)Theranostics (2 papers)Endocrine Related Cancer (2 papers)Journal of Cancer (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Linfei Hu
33 papers receiving 448 citations
Peers
Comparison fields: 5 of 68
- Cancer Research 119
- Endocrinology, Diabetes and Metabolism 109
- Molecular Biology 268
- Oncology 104
- Health Informatics 5
Countries citing papers authored by Linfei Hu
This map shows the geographic impact of Linfei 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 Linfei Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linfei Hu more than expected).
Fields of papers citing papers by Linfei Hu
This network shows the impact of papers produced by Linfei 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 Linfei Hu. The network helps show where Linfei Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Linfei 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 77 | |
| 2 | 2021 | 72 | |
| 3 | 2020 | 38 | |
| 4 | 2023 | 26 | |
| 5 | 2018 | 26 | |
| 6 | 2018 | 22 | |
| 7 | 2022 | 18 | |
| 8 | 2021 | 15 | |
| 9 | Genome-wide identification of m6A-associated functional SNPs as potential functional variants for thyroid cancer. | 2021 | 15 |
| 10 | 2021 | 15 | |
| 11 | 2019 | 13 | |
| 12 | 2023 | 12 | |
| 13 | 2019 | 12 | |
| 14 | 2020 | 9 | |
| 15 | 2022 | 9 | |
| 16 | 2021 | 7 | |
| 17 | 2020 | 7 | |
| 18 | 2019 | 7 | |
| 19 | 2023 | 7 | |
| 20 | 2022 | 6 |
About Linfei Hu
Linfei Hu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 34 papers that have together received 451 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (11 papers), Cancer, Hypoxia, and Metabolism (7 papers), Cancer-related Molecular Pathways (5 papers), Protein Tyrosine Phosphatases (4 papers), Ferroptosis and cancer prognosis (4 papers), Cancer, Lipids, and Metabolism (3 papers), BRCA gene mutations in cancer (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Cancer Research (119 citations), Endocrinology, Diabetes and Metabolism (109 citations), Molecular Biology (268 citations), Oncology (104 citations) and Health Informatics (5 citations). Linfei Hu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ming Gao, Xianhui Ruan, Xiukun Hou, Xiangqian Zheng, Jingtai Zhi, Xi Wei, Xianle Shi, Jingzhu Zhao, Songfeng Wei and Xiangqian Zheng. Their work appears in journals such as Cell Death and Disease, Theranostics, Endocrine Related Cancer, Journal of Cancer and Scientific Reports.
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.