Xinhua Wu
- Molecular Biology
- Cancer Research top 5%
- Pathology and Forensic Medicine top 5%
- Oncology top 10%
- Epidemiology
- Topics
- MicroRNA in disease regulation (9 papers)Archaeology and ancient environmental studies (8 papers)Pacific and Southeast Asian Studies (8 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xinhua Wu
106 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 152
- Molecular Biology 683
- Cancer Research 557
- Pathology and Forensic Medicine 277
- Oncology 267
- Epidemiology 178
Countries citing papers authored by Xinhua Wu
This map shows the geographic impact of Xinhua 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 Xinhua Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinhua Wu more than expected).
Fields of papers citing papers by Xinhua Wu
This network shows the impact of papers produced by Xinhua 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 Xinhua Wu. The network helps show where Xinhua Wu may publish in the future.
Co-authorship network of co-authors of Xinhua Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Xinhua Wu. A scholar is included among the top collaborators of Xinhua Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xinhua Wu. Xinhua Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 19 | |
| 4 | 17 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 2 | |
| 10 | 3 | |
| 11 | 3 | |
| 12 | 55 | |
| 13 | 29 | |
| 14 | Cranial Non-metric Evidence for Population Admixture Between East and West Eurasia in Bronze Age, Southwestern Xinjiang | 0 |
| 15 | 34 | |
| 16 | [Determination of the migration of bisphenol diglycidyl ethers from food contact materials by high performance chromatography-tandem mass spectrometry coupled with multi-walled carbon nanotubes solid phase extraction]. | 2 |
| 17 | 3 | |
| 18 | Alltagsstress in Liushui: Krankheitsbilder des Bewegungsapparetes im bronzezeitlichen Westchina | 3 |
| 19 | Determination of hepatoma-specific alpha-fetoprotein by a mini-column affinity chromatography method | 1 |
| 20 | Preoperative enteral immunonutrition in patients with gastrointestinal cancer | 1 |
About Xinhua Wu
Xinhua Wu is a scholar working on Cancer Research, Geography, Planning and Development and Paleontology, having authored 111 papers that have together received 1.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Archaeology and ancient environmental studies (8 papers) and Pacific and Southeast Asian Studies (8 papers). The work is most often cited by research in Cancer Research (557 citations), Paleontology (124 citations) and Hepatology (134 citations). Xinhua Wu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xianjuan Shen, Dengfu Yao, Liwei Qiu, Jing Qi, Shaoqing Ju, Xianyong Meng, Zihua Tang, Zhizhen Dong, Dengbing Yao and Jin Qi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.
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.