Xiaoyan Qu
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
- Hematology 30
- Multiple Myeloma Research and Treatments 26
- Acute Myeloid Leukemia Research 5
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- Protein Degradation and Inhibitors 10
- Co-authors
- James J. Russo (2 shared papers)Niels Tommerup (1 shared paper)Merete Bugge (1 shared paper)E. Viégas-Pèquignot (1 shared paper)Timothy H. Bestor (1 shared paper)Guoliang Xu (1 shared paper)Maj Hultén (1 shared paper)Chih-Lin Hsieh (1 shared paper)
- Journals
- Oncotarget (4 papers)Blood (3 papers)Leukemia Research (2 papers)Medical Oncology (2 papers)Materials & Design (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Xiaoyan Qu
45 papers receiving 1.6k citations
Xiaoyan Qu's Hit Papers
Peers
Comparison fields: 5 of 103
- Hematology 261
- Cancer Research 252
- Molecular Biology 1.1k
- Genetics 173
- Genetics 371
Countries citing papers authored by Xiaoyan Qu
This map shows the geographic impact of Xiaoyan Qu'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 Xiaoyan Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyan Qu more than expected).
Fields of papers citing papers by Xiaoyan Qu
This network shows the impact of papers produced by Xiaoyan Qu. 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 Xiaoyan Qu. The network helps show where Xiaoyan Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoyan Qu, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Chromosome instability and immunodeficiency syndrome caused by mutations in a DNA methyltransferase gene Hit paper breakdown → | 1999 | 884 |
| 2 | 2001 | 136 | |
| 3 | 2015 | 82 | |
| 4 | 2012 | 63 | |
| 5 | 2014 | 55 | |
| 6 | 2019 | 42 | |
| 7 | 2014 | 34 | |
| 8 | 2014 | 30 | |
| 9 | 2015 | 26 | |
| 10 | 2012 | 25 | |
| 11 | 2020 | 23 | |
| 12 | 2015 | 19 | |
| 13 | 2021 | 18 | |
| 14 | 2022 | 17 | |
| 15 | 2016 | 17 | |
| 16 | 2017 | 14 | |
| 17 | 2016 | 12 | |
| 18 | 2009 | 11 | |
| 19 | 2016 | 11 | |
| 20 | 2023 | 9 |
About Xiaoyan Qu
Xiaoyan Qu is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 51 papers that have together received 1.6k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (26 papers), Protein Degradation and Inhibitors (10 papers), Chronic Lymphocytic Leukemia Research (7 papers), Lymphoma Diagnosis and Treatment (6 papers), Acute Myeloid Leukemia Research (5 papers), Viral-associated cancers and disorders (5 papers), Peptidase Inhibition and Analysis (5 papers) and Chemokine receptors and signaling (4 papers). The work is most often cited by research in Hematology (261 citations), Cancer Research (252 citations), Molecular Biology (1.1k citations), Genetics (173 citations) and Genetics (371 citations). Xiaoyan Qu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include James J. Russo, Niels Tommerup, Merete Bugge, E. Viégas-Pèquignot, Timothy H. Bestor, Guoliang Xu, Maj Hultén, Chih-Lin Hsieh, Déborah Bourc’his and Jianyong Li. Their work appears in journals such as Oncotarget, Blood, Leukemia Research, Medical Oncology and Materials & Design.
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.