Hu Q
Impact in
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
- Neurological diseases and metabolism
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Cancer-related molecular mechanisms research 5
- Cancer, Hypoxia, and Metabolism 4
- MicroRNA in disease regulation 3
- Co-authors
- Anna Richardson (3 shared papers)Andrew Robinson (3 shared papers)Julie S. Snowden (3 shared papers)Alexander Gerhard (3 shared papers)David Neary (3 shared papers)Yvonne S. Davidson (3 shared papers)Stuart Pickering‐Brown (2 shared papers)Daniel DuPlessis (2 shared papers)
- Journals
- PLoS ONE (3 papers)Journal of Virology (2 papers)Biochemical Pharmacology (2 papers)Scientific Reports (2 papers)Brain (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Hu Q
59 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 119
- Neurology 366
- Neurology 99
- Cancer Research 148
- Genetics 106
- Virology 44
Countries citing papers authored by Hu Q
This map shows the geographic impact of Hu Q'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 Hu Q with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hu Q more than expected).
Fields of papers citing papers by Hu Q
This network shows the impact of papers produced by Hu Q. 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 Hu Q. The network helps show where Hu Q may publish in the future.
Co-authors
The 25 scholars most cited alongside Hu Q, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 416 | |
| 2 | 2020 | 94 | |
| 3 | 2018 | 69 | |
| 4 | 2020 | 53 | |
| 5 | 2006 | 46 | |
| 6 | 2020 | 45 | |
| 7 | 2023 | 45 | |
| 8 | 2014 | 34 | |
| 9 | 2008 | 34 | |
| 10 | 2021 | 33 | |
| 11 | 2022 | 31 | |
| 12 | 2012 | 30 | |
| 13 | 2013 | 29 | |
| 14 | 2020 | 25 | |
| 15 | 2010 | 16 | |
| 16 | 2010 | 15 | |
| 17 | 2021 | 14 | |
| 18 | 2024 | 14 | |
| 19 | 2017 | 13 | |
| 20 | 2009 | 13 |
About Hu Q
Hu Q is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Immunology and Virology, having authored 66 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), HIV Research and Treatment (5 papers), Nuclear Receptors and Signaling (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Autophagy in Disease and Therapy (3 papers), Immune Cell Function and Interaction (3 papers), MicroRNA in disease regulation (3 papers) and Amyotrophic Lateral Sclerosis Research (2 papers). The work is most often cited by research in Neurology (366 citations), Neurology (99 citations), Cancer Research (148 citations), Genetics (106 citations) and Virology (44 citations). Hu Q has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Anna Richardson, Andrew Robinson, Julie S. Snowden, Alexander Gerhard, David Neary, Yvonne S. Davidson, Stuart Pickering‐Brown, Daniel DuPlessis, Jennifer Harris and Matt Jones. Their work appears in journals such as PLoS ONE, Journal of Virology, Biochemical Pharmacology, Scientific Reports and Brain.
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.