Xiaocai Wu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Gut microbiota and health
Papers in
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- Circular RNAs in diseases 5
- Gut microbiota and health 3
- RNA modifications and cancer 3
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- Cancer-related molecular mechanisms research 8
- MicroRNA in disease regulation 2
- Co-authors
- Di Zhou (6 shared papers)Mingzhe Weng (6 shared papers)Shou-Hua Wang (6 shared papers)Mingdi Zhang (5 shared papers)Jiandong Wang (2 shared papers)Qiang Cai (2 shared papers)Wenjie Zhang (1 shared paper)Fei Ma (1 shared paper)
In The Last Decade
Xiaocai Wu
24 papers receiving 657 citations
Peers
Comparison fields: 5 of 52
- Cancer Research 458
- Molecular Biology 423
- Surgery 102
- Epidemiology 68
- Oncology 42
Countries citing papers authored by Xiaocai Wu
This map shows the geographic impact of Xiaocai 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 Xiaocai Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaocai Wu more than expected).
Fields of papers citing papers by Xiaocai Wu
This network shows the impact of papers produced by Xiaocai 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 Xiaocai Wu. The network helps show where Xiaocai Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaocai 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
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 98 | |
| 2 | 2016 | 95 | |
| 3 | 2016 | 87 | |
| 4 | 2016 | 72 | |
| 5 | 2016 | 50 | |
| 6 | 2016 | 46 | |
| 7 | 2022 | 31 | |
| 8 | 2018 | 29 | |
| 9 | 2023 | 27 | |
| 10 | 2017 | 25 | |
| 11 | 2022 | 22 | |
| 12 | 2014 | 17 | |
| 13 | 2019 | 13 | |
| 14 | 2022 | 12 | |
| 15 | 2023 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2016 | 6 | |
| 18 | 2019 | 5 | |
| 19 | 2020 | 4 | |
| 20 | 2024 | 3 |
About Xiaocai Wu
Xiaocai Wu is a scholar working on Molecular Biology, Cancer Research, Surgery, Genetics and Epidemiology, having authored 26 papers that have together received 663 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (8 papers), Inflammatory Bowel Disease (6 papers), Circular RNAs in diseases (5 papers), Gut microbiota and health (3 papers), RNA modifications and cancer (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Microscopic Colitis (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (458 citations), Molecular Biology (423 citations), Surgery (102 citations), Epidemiology (68 citations) and Oncology (42 citations). Xiaocai Wu has collaborated with scholars based in China and Poland. Frequent co-authors include Di Zhou, Mingzhe Weng, Shou-Hua Wang, Mingdi Zhang, Jiandong Wang, Qiang Cai, Jiandong Wang, Wenjie Zhang, Wenjie Zhang and Fei Ma. Their work appears in journals such as Biochemical and Biophysical Research Communications, Frontiers in Cellular and Infection Microbiology, Tumor Biology, Surgical Endoscopy and Cancer Letters.
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.