Huini Wu
Impact in
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- Venous Thromboembolism Diagnosis and Management
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- Cancer, Lipids, and Metabolism
- Cancer Genomics and Diagnostics
Papers in
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- Gut microbiota and health 4
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- Genetic factors in colorectal cancer 2
- Tea Polyphenols and Effects 2
- Co-authors
- Yan Lin (5 shared papers)Jinyan Zhang (3 shared papers)Rong Liang (3 shared papers)Zhihui Liu (3 shared papers)Fan He (5 shared papers)Shumei Yan (7 shared papers)Yongqiang Li (2 shared papers)Donghua Zou (1 shared paper)
- Journals
- Journal of Cancer (6 papers)Poultry Science (2 papers)Fermentation (2 papers)Oncotarget (2 papers)Foods (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Huini Wu
18 papers receiving 308 citations
Peers
Comparison fields: 5 of 68
- Internal Medicine 26
- Cancer Research 78
- Oncology 119
- Reproductive Medicine 20
- Pulmonary and Respiratory Medicine 66
Countries citing papers authored by Huini Wu
This map shows the geographic impact of Huini Wu'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 Huini Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huini Wu more than expected).
Fields of papers citing papers by Huini Wu
This network shows the impact of papers produced by Huini Wu. 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 Huini Wu. The network helps show where Huini Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Huini Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 99 | |
| 2 | 2016 | 39 | |
| 3 | 2017 | 30 | |
| 4 | 2017 | 24 | |
| 5 | 2017 | 19 | |
| 6 | 2016 | 19 | |
| 7 | 2015 | 14 | |
| 8 | 2015 | 11 | |
| 9 | 2014 | 10 | |
| 10 | 2024 | 10 | |
| 11 | Dacomitinib, a new pan-EGFR inhibitor, is effective in killing ovarian cancer cells. | 2016 | 8 |
| 12 | 2024 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2017 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2019 | 3 | |
| 17 | 2025 | 1 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Huini Wu
Huini Wu is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Surgery, Pulmonary and Respiratory Medicine and Animal Science and Zoology, having authored 20 papers that have together received 309 indexed citations. Recurring topics across this work include Gut microbiota and health (4 papers), Animal Nutrition and Physiology (3 papers), Ovarian cancer diagnosis and treatment (3 papers), Probiotics and Fermented Foods (3 papers), Genetic factors in colorectal cancer (2 papers), Cancer, Lipids, and Metabolism (2 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers) and Tea Polyphenols and Effects (2 papers). The work is most often cited by research in Internal Medicine (26 citations), Cancer Research (78 citations), Oncology (119 citations), Reproductive Medicine (20 citations) and Pulmonary and Respiratory Medicine (66 citations). Huini Wu has collaborated with scholars based in China and United States. Frequent co-authors include Yan Lin, Jinyan Zhang, Rong Liang, Zhihui Liu, Fan He, Shumei Yan, Yongqiang Li, Donghua Zou, Gang Qin and Guoying Chen. Their work appears in journals such as Journal of Cancer, Poultry Science, Fermentation, Oncotarget and Foods.
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.