Qiang Hu
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer Genomics and Diagnostics
- Molecular Biology top 5%
- Epigenetics and DNA Methylation
- RNA modifications and cancer
Papers in
-
- Epigenetics and DNA Methylation 23
- RNA modifications and cancer 12
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- Cancer-related molecular mechanisms research 22
- MicroRNA in disease regulation 14
- Cancer Genomics and Diagnostics 12
- Co-authors
- Song Liu (55 shared papers)Jianmin Wang (22 shared papers)Scott I. Abrams (4 shared papers)Austin Miller (2 shared papers)Jeremy D. Waight (2 shared papers)Li Yan (20 shared papers)Christine B. Ambrosone (22 shared papers)Candace S. Johnson (13 shared papers)
- Journals
- Oncotarget (11 papers)PLoS ONE (6 papers)Blood (5 papers)Cancer Research (3 papers)Journal of Proteome Research (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Qiang Hu
186 papers receiving 4.5k citations
Peers
Comparison fields: 5 of 145
- Cancer Research 962
- Molecular Biology 2.1k
- Oncology 830
- Immunology 634
- Biological Psychiatry 70
Countries citing papers authored by Qiang Hu
This map shows the geographic impact of Qiang 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 Qiang Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qiang Hu more than expected).
Fields of papers citing papers by Qiang Hu
This network shows the impact of papers produced by Qiang 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 Qiang Hu. The network helps show where Qiang Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Qiang 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 193 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 263 | |
| 2 | 2012 | 222 | |
| 3 | 2011 | 201 | |
| 4 | 2016 | 152 | |
| 5 | 2013 | 103 | |
| 6 | 2013 | 95 | |
| 7 | 2016 | 92 | |
| 8 | 2020 | 88 | |
| 9 | 2019 | 74 | |
| 10 | 2014 | 69 | |
| 11 | 2018 | 65 | |
| 12 | 2017 | 63 | |
| 13 | 2018 | 62 | |
| 14 | 2021 | 57 | |
| 15 | 2013 | 55 | |
| 16 | 2011 | 55 | |
| 17 | 2013 | 55 | |
| 18 | 2017 | 55 | |
| 19 | 2013 | 52 | |
| 20 | 2015 | 50 |
About Qiang Hu
Qiang Hu is a scholar working on Molecular Biology, Cancer Research, Cognitive Neuroscience, Oncology and Genetics, having authored 193 papers that have together received 4.5k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (23 papers), Cancer-related molecular mechanisms research (22 papers), Functional Brain Connectivity Studies (20 papers), MicroRNA in disease regulation (14 papers), RNA modifications and cancer (12 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (12 papers), Cancer Genomics and Diagnostics (12 papers) and Schizophrenia research and treatment (10 papers). The work is most often cited by research in Cancer Research (962 citations), Molecular Biology (2.1k citations), Oncology (830 citations), Immunology (634 citations) and Biological Psychiatry (70 citations). Qiang Hu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Song Liu, Jianmin Wang, Scott I. Abrams, Austin Miller, Jeremy D. Waight, Li Yan, Christine B. Ambrosone, Candace S. Johnson, Chunbo Li and HuiRu Cui. Their work appears in journals such as Oncotarget, PLoS ONE, Blood, Cancer Research and Journal of Proteome Research.
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.