Xin Hu
- Molecular Biology top 5%
- Cancer Research top 2%
- Oncology top 10%
- Physiology top 10%
- Genetics top 10%
- Co-authors
- Emmanuel Martínez-LedesmaSiyuan ZhengRoel G.W. VerhaakFloris P BarthelSamirkumar B. AminQianghu WangMing TangHuang-Ge Zhang
- Topics
- Epigenetics and DNA Methylation (20 papers)RNA modifications and cancer (19 papers)MicroRNA in disease regulation (16 papers)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Xin Hu
91 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Molecular Biology 2.2k
- Cancer Research 884
- Oncology 342
- Physiology 336
- Genetics 239
Countries citing papers authored by Xin Hu
This map shows the geographic impact of Xin 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 Xin Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin Hu more than expected).
Fields of papers citing papers by Xin Hu
This network shows the impact of papers produced by Xin 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 Xin Hu. The network helps show where Xin Hu may publish in the future.
Co-authorship network of co-authors of Xin Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Xin Hu. A scholar is included among the top collaborators of Xin 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 Xin Hu. Xin 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 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 36 | |
| 5 | 2 | |
| 6 | 5 | |
| 7 | MicroRNA-423 Drug Resistance and Proliferation of Breast Cancer Cells by Targeting ZFP36 | 1 |
| 8 | 8 | |
| 9 | FTO Polymorphisms are Associated with Metabolic Dysfunction-Associated Fatty Liver Disease (MAFLD) Susceptibility in the Older Chinese Han Population | 0 |
| 10 | 19 | |
| 11 | 87 | |
| 12 | 54 | |
| 13 | Systematic analysis of telomere length and somatic alterations in 31 cancer typesbreakdown → | 416 |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 99 | |
| 17 | 123 | |
| 18 | 13 | |
| 19 | 21 | |
| 20 | Preparation of peptide with low-molecular weight from walnut by enzymatic hydrolysis | 1 |
About Xin Hu
Xin Hu is a scholar working on Cancer Research, Molecular Biology and Genetics, having authored 96 papers that have together received 3.1k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (20 papers), RNA modifications and cancer (19 papers) and MicroRNA in disease regulation (16 papers). The work is most often cited by research in Cancer Research (884 citations), Molecular Biology (2.2k citations) and Aging (36 citations). Xin Hu has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Emmanuel Martínez-Ledesma, Siyuan Zheng, Roel G.W. Verhaak, Floris P Barthel, Samirkumar B. Amin, Qianghu Wang, Ming Tang, Huang-Ge Zhang, Donald M. Miller and Jun Yan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.
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.