Linfei Hu
Impact in
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- Thyroid Cancer Diagnosis and Treatment
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Protein Tyrosine Phosphatases 4
- RNA modifications and cancer 3
- Ubiquitin and proteasome pathways 2
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- Thyroid Cancer Diagnosis and Treatment 13
- Co-authors
- Ming Gao (24 shared papers)Xianhui Ruan (23 shared papers)Xiukun Hou (15 shared papers)Xiangqian Zheng (18 shared papers)Xi Wei (8 shared papers)Jingtai Zhi (14 shared papers)Xianle Shi (2 shared papers)Songfeng Wei (7 shared papers)
- Journals
- Cell Death and Disease (5 papers)Theranostics (2 papers)Endocrine Related Cancer (2 papers)Journal of Cancer (2 papers)Anti-Cancer Agents in Medicinal Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Linfei Hu
38 papers receiving 554 citations
Peers
Comparison fields: 5 of 77
- Endocrinology, Diabetes and Metabolism 119
- Cancer Research 105
- Pollution 44
- Molecular Biology 239
- Oncology 87
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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 86 | |
| 2 | 2021 | 79 | |
| 3 | 2011 | 58 | |
| 4 | 2020 | 39 | |
| 5 | 2023 | 33 | |
| 6 | 2018 | 26 | |
| 7 | 2018 | 24 | |
| 8 | 2022 | 18 | |
| 9 | 2021 | 16 | |
| 10 | 2023 | 15 | |
| 11 | Genome-wide identification of m6A-associated functional SNPs as potential functional variants for thyroid cancer. | 2021 | 15 |
| 12 | 2021 | 15 | |
| 13 | 2019 | 13 | |
| 14 | 2019 | 12 | |
| 15 | 2020 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2021 | 8 | |
| 18 | 2023 | 7 | |
| 19 | 2020 | 7 | |
| 20 | 2019 | 7 |
About Linfei Hu
Linfei Hu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cancer Research, Oncology and Surgery, having authored 39 papers that have together received 558 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (13 papers), Cancer, Hypoxia, and Metabolism (7 papers), Cancer-related Molecular Pathways (6 papers), Protein Tyrosine Phosphatases (4 papers), Ferroptosis and cancer prognosis (3 papers), Cancer, Lipids, and Metabolism (3 papers), RNA modifications and cancer (3 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (119 citations), Cancer Research (105 citations), Pollution (44 citations), Molecular Biology (239 citations) and Oncology (87 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, Xi Wei, Jingtai Zhi, Xianle Shi, Songfeng Wei, Jingzhu Zhao and Xiangqian Zheng. Their work appears in journals such as Cell Death and Disease, Theranostics, Endocrine Related Cancer, Journal of Cancer and Anti-Cancer Agents in Medicinal Chemistry.
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.