Wanwan Hou
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Breast Cancer Treatment Studies
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
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- Microbial infections and disease research 5
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- Cancer Genomics and Diagnostics 4
- Co-authors
- Guy W. Allinson (3 shared papers)Jianguang Wu (1 shared paper)Yildiray Cinar (1 shared paper)Fengde D. Zhou (1 shared paper)Jianzhong Wang (1 shared paper)Chan Ding (5 shared papers)Shengqing Yu (5 shared papers)Shaohui Wang (5 shared papers)
- Journals
- Genome biology (4 papers)Foods (3 papers)Nature Communications (3 papers)Nature Biotechnology (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wanwan Hou
33 papers receiving 1.3k citations
Wanwan Hou's Hit Papers
Peers
Comparison fields: 5 of 112
- Cancer Research 304
- Oncology 316
- Microbiology 51
- Molecular Biology 460
- Pulmonary and Respiratory Medicine 163
Countries citing papers authored by Wanwan Hou
This map shows the geographic impact of Wanwan 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 Wanwan Hou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanwan Hou more than expected).
Fields of papers citing papers by Wanwan Hou
This network shows the impact of papers produced by Wanwan 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 Wanwan Hou. The network helps show where Wanwan Hou may publish in the future.
Co-authors
The 25 scholars most cited alongside Wanwan 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Genomic and Transcriptomic Landscape of Triple-Negative Breast Cancers: Subtypes and Treatment Strategies Hit paper breakdown → | 2019 | 748 |
| 2 | 2023 | 87 | |
| 3 | 2013 | 75 | |
| 4 | 2024 | 67 | |
| 5 | 2023 | 54 | |
| 6 | 2014 | 33 | |
| 7 | 2022 | 27 | |
| 8 | 2023 | 24 | |
| 9 | 2020 | 19 | |
| 10 | 2015 | 19 | |
| 11 | 2024 | 19 | |
| 12 | 2015 | 17 | |
| 13 | 2023 | 14 | |
| 14 | 2022 | 14 | |
| 15 | 2024 | 13 | |
| 16 | 2019 | 7 | |
| 17 | 2024 | 7 | |
| 18 | 2015 | 6 | |
| 19 | 2020 | 6 | |
| 20 | 2024 | 6 |
About Wanwan Hou
Wanwan Hou is a scholar working on Microbiology, Cancer Research, Molecular Biology, Infectious Diseases and Ecology, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Microbial infections and disease research (5 papers), Antimicrobial Resistance in Staphylococcus (5 papers), Cancer Genomics and Diagnostics (4 papers), Genomics and Phylogenetic Studies (4 papers), Molecular Biology Techniques and Applications (4 papers), Cancer-related gene regulation (3 papers), Bacteriophages and microbial interactions (3 papers) and Bacterial biofilms and quorum sensing (3 papers). The work is most often cited by research in Cancer Research (304 citations), Oncology (316 citations), Microbiology (51 citations), Molecular Biology (460 citations) and Pulmonary and Respiratory Medicine (163 citations). Wanwan Hou has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Guy W. Allinson, Jianguang Wu, Yildiray Cinar, Fengde D. Zhou, Jianzhong Wang, Chan Ding, Shengqing Yu, Shaohui Wang, Xiangan Han and Xiaolan Wang. Their work appears in journals such as Genome biology, Foods, Nature Communications, Nature Biotechnology and PLoS ONE.
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.