Wen Xia
Impact in
- Oncology top 5%
- Drug Transport and Resistance Mechanisms
- HER2/EGFR in Cancer Research
- Inflammatory Biomarkers in Disease Prognosis
- Cancer Research top 10%
Papers in
- Oncology 40
- Drug Transport and Resistance Mechanisms 16
- HER2/EGFR in Cancer Research 7
- Inflammatory Biomarkers in Disease Prognosis 5
- Co-authors
- Lauren M. Aleksunes (31 shared papers)Melanie S. Joy (10 shared papers)Shusen Wang (26 shared papers)Kristin M. Bircsak (7 shared papers)Fei Xu (21 shared papers)Xin Hua (11 shared papers)Zhongyu Yuan (24 shared papers)Qiufan Zheng (15 shared papers)
- Journals
- Journal of Clinical Oncology (5 papers)Frontiers in Oncology (5 papers)Toxicological Sciences (4 papers)The Oncologist (4 papers)Frontiers in Cell and Developmental Biology (3 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Wen Xia
80 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 99
- Oncology 430
- Cancer Research 172
- Obstetrics and Gynecology 51
- Pathology and Forensic Medicine 107
- Pharmacology 53
Countries citing papers authored by Wen Xia
This map shows the geographic impact of Wen Xia'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 Wen Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen Xia more than expected).
Fields of papers citing papers by Wen Xia
This network shows the impact of papers produced by Wen Xia. 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 Wen Xia. The network helps show where Wen Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Wen Xia, 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 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 68 | |
| 2 | 2015 | 63 | |
| 3 | 2014 | 52 | |
| 4 | 2019 | 37 | |
| 5 | 2016 | 36 | |
| 6 | 2019 | 36 | |
| 7 | 2017 | 35 | |
| 8 | 2018 | 34 | |
| 9 | 2018 | 30 | |
| 10 | 2012 | 29 | |
| 11 | 2012 | 29 | |
| 12 | 2017 | 28 | |
| 13 | 2018 | 27 | |
| 14 | 2016 | 27 | |
| 15 | 2019 | 27 | |
| 16 | 2014 | 26 | |
| 17 | 2015 | 25 | |
| 18 | 2013 | 25 | |
| 19 | 2021 | 24 | |
| 20 | 2014 | 23 |
About Wen Xia
Wen Xia is a scholar working on Oncology, Molecular Biology, Cancer Research, Pathology and Forensic Medicine and Pediatrics, Perinatology and Child Health, having authored 88 papers that have together received 1.2k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (16 papers), Chemotherapy-induced organ toxicity mitigation (8 papers), HER2/EGFR in Cancer Research (7 papers), Breast Cancer Treatment Studies (6 papers), Advanced Breast Cancer Therapies (6 papers), Pharmacological Effects and Toxicity Studies (6 papers), Inflammatory Biomarkers in Disease Prognosis (5 papers) and Hepatitis C virus research (4 papers). The work is most often cited by research in Oncology (430 citations), Cancer Research (172 citations), Obstetrics and Gynecology (51 citations), Pathology and Forensic Medicine (107 citations) and Pharmacology (53 citations). Wen Xia has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Lauren M. Aleksunes, Melanie S. Joy, Shusen Wang, Kristin M. Bircsak, Fei Xu, Xin Hua, Zhongyu Yuan, Qiufan Zheng, Ruoxi Hong and Brian Buckley. Their work appears in journals such as Journal of Clinical Oncology, Frontiers in Oncology, Toxicological Sciences, The Oncologist and Frontiers in Cell and Developmental Biology.
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.