Yide Hu
Impact in
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- Cancer-related molecular mechanisms research
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- Cancer Cells and Metastasis
Papers in
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- RNA Interference and Gene Delivery 2
- Epigenetics and DNA Methylation 2
- Oncology 7
- Cancer-related Molecular Pathways 3
- Cancer Cells and Metastasis 3
- Co-authors
- Yu Xu (9 shared papers)Weiwei Yuan (3 shared papers)Guanghui Li (3 shared papers)Bo Zhu (3 shared papers)Yu Xiao (3 shared papers)Donglin Wang (3 shared papers)Yan Luo (2 shared papers)Shasha Li (1 shared paper)
- Journals
- Oncology Reports (3 papers)Molecular Carcinogenesis (1 paper)PLoS ONE (1 paper)Medical Oncology (1 paper)Radiation Oncology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Yide Hu
23 papers receiving 346 citations
Peers
Comparison fields: 5 of 60
- Cancer Research 65
- Oncology 80
- Molecular Biology 172
- Pharmacology 38
- Immunology 39
Countries citing papers authored by Yide Hu
This map shows the geographic impact of Yide 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 Yide Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yide Hu more than expected).
Fields of papers citing papers by Yide Hu
This network shows the impact of papers produced by Yide 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 Yide Hu. The network helps show where Yide Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yide 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 44 | |
| 2 | 2015 | 36 | |
| 3 | 2012 | 35 | |
| 4 | Identification of HLA-A*0201-restricted cytotoxic T lymphocyte epitope from TRAG-3 antigen. | 2003 | 28 |
| 5 | 2014 | 28 | |
| 6 | 2017 | 25 | |
| 7 | 2000 | 24 | |
| 8 | 2009 | 20 | |
| 9 | 2010 | 18 | |
| 10 | 2013 | 18 | |
| 11 | 2011 | 18 | |
| 12 | 2005 | 11 | |
| 13 | [Evaluation of gefitinib plus radiotherapy in non-small-cell lung cancer patients with brain metastases]. | 2012 | 9 |
| 14 | 2010 | 7 | |
| 15 | [Gene transfection of Livin isoforms into A549 cell line and its effect on cell growth and sensitivity to chemotherapy and radiotherapy]. | 2005 | 7 |
| 16 | 2012 | 5 | |
| 17 | 2013 | 4 | |
| 18 | 2009 | 3 | |
| 19 | 2002 | 2 | |
| 20 | 2011 | 2 |
About Yide Hu
Yide Hu is a scholar working on Molecular Biology, Oncology, Cancer Research, Pulmonary and Respiratory Medicine and Pharmacology, having authored 23 papers that have together received 348 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (3 papers), Cancer Cells and Metastasis (3 papers), RNA Interference and Gene Delivery (2 papers), Epigenetics and DNA Methylation (2 papers), Berberine and alkaloids research (2 papers), MicroRNA in disease regulation (2 papers), Autophagy in Disease and Therapy (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Cancer Research (65 citations), Oncology (80 citations), Molecular Biology (172 citations), Pharmacology (38 citations) and Immunology (39 citations). Yide Hu has collaborated with scholars based in China and United States. Frequent co-authors include Yu Xu, Weiwei Yuan, Guanghui Li, Bo Zhu, Yu Xiao, Donglin Wang, Yan Luo, Shasha Li, Zhengtang Chen and Shiyong Wu. Their work appears in journals such as Oncology Reports, Molecular Carcinogenesis, PLoS ONE, Medical Oncology and Radiation Oncology.
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.