Ni Hou
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Physiology top 5%
Papers in
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- RNA modifications and cancer 9
-
- MicroRNA in disease regulation 14
- Cancer-related molecular mechanisms research 9
- Co-authors
- Soichi Tsutsumi (2 shared papers)Ahmad Faried (2 shared papers)Hiroyuki Kuwano (2 shared papers)Toshiyuki Takeuchi (8 shared papers)Yan Yuan (3 shared papers)Jia Han (8 shared papers)Jie Li (1 shared paper)Seiji Torii (7 shared papers)
- Journals
- Anti-Cancer Drugs (3 papers)Oncotarget (2 papers)PLoS ONE (2 papers)International Journal of Oncology (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Ni Hou
38 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 112
- Cancer Research 436
- Physiology 105
- Geriatrics and Gerontology 58
- Epidemiology 501
- Behavioral Neuroscience 47
Countries citing papers authored by Ni Hou
This map shows the geographic impact of Ni Hou'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 Ni Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ni Hou more than expected).
Fields of papers citing papers by Ni Hou
This network shows the impact of papers produced by Ni Hou. 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 Ni Hou. The network helps show where Ni Hou may publish in the future.
Co-authors
The 25 scholars most cited alongside Ni Hou, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 271 | |
| 2 | 2008 | 251 | |
| 3 | 2016 | 129 | |
| 4 | 2009 | 125 | |
| 5 | 2017 | 122 | |
| 6 | 2008 | 122 | |
| 7 | 2013 | 75 | |
| 8 | 2015 | 66 | |
| 9 | 2017 | 66 | |
| 10 | 2018 | 65 | |
| 11 | 2015 | 59 | |
| 12 | 2017 | 50 | |
| 13 | 2014 | 38 | |
| 14 | 2013 | 38 | |
| 15 | 2016 | 33 | |
| 16 | 2016 | 32 | |
| 17 | 2016 | 30 | |
| 18 | 2020 | 27 | |
| 19 | 2008 | 24 | |
| 20 | 2014 | 23 |
About Ni Hou
Ni Hou is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Cellular and Molecular Neuroscience and Cell Biology, having authored 38 papers that have together received 1.8k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (14 papers), RNA modifications and cancer (9 papers), Cancer-related molecular mechanisms research (9 papers), Autophagy in Disease and Therapy (7 papers), Cancer, Stress, Anesthesia, and Immune Response (4 papers), Neuropeptides and Animal Physiology (4 papers), Pancreatic function and diabetes (4 papers) and Endoplasmic Reticulum Stress and Disease (3 papers). The work is most often cited by research in Cancer Research (436 citations), Physiology (105 citations), Geriatrics and Gerontology (58 citations), Epidemiology (501 citations) and Behavioral Neuroscience (47 citations). Ni Hou has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Soichi Tsutsumi, Ahmad Faried, Hiroyuki Kuwano, Toshiyuki Takeuchi, Yan Yuan, Jia Han, Jie Li, Seiji Torii, Na Liu and Jie Li. Their work appears in journals such as Anti-Cancer Drugs, Oncotarget, PLoS ONE, International Journal of Oncology and Journal of Biological 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.