Xing Qiu
Impact in
- Virology top 5%
- Statistics and Probability top 2%
Papers in
-
- Gene expression and cancer classification 26
- Bioinformatics and Genomic Networks 20
- Gene Regulatory Network Analysis 8
- Epidemiology 24
- Respiratory viral infections research 14
- Co-authors
- Andrei Yakovlev (9 shared papers)Lev B. Klebanov (8 shared papers)Galina Glazko (4 shared papers)Alexander Gordon (2 shared papers)Hulin Wu (12 shared papers)Rui Hu (5 shared papers)James O. Sanders (4 shared papers)Jeanne Holden‐Wiltse (13 shared papers)
- Journals
- Scientific Reports (9 papers)BMC Bioinformatics (7 papers)PLoS ONE (6 papers)The Journal of Infectious Diseases (5 papers)Bioinformatics (5 papers)
- Partner nations
- United StatesChinaCzechia
In The Last Decade
Xing Qiu
120 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 162
- Virology 91
- Statistics and Probability 151
- Radiology, Nuclear Medicine and Imaging 372
- Molecular Biology 922
- Obstetrics and Gynecology 96
Countries citing papers authored by Xing Qiu
This map shows the geographic impact of Xing Qiu'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 Xing Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xing Qiu more than expected).
Fields of papers citing papers by Xing Qiu
This network shows the impact of papers produced by Xing Qiu. 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 Xing Qiu. The network helps show where Xing Qiu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xing Qiu, 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 126 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 133 | |
| 2 | 2007 | 121 | |
| 3 | 2017 | 114 | |
| 4 | 2017 | 102 | |
| 5 | 2011 | 97 | |
| 6 | 2005 | 85 | |
| 7 | 2011 | 83 | |
| 8 | 2005 | 76 | |
| 9 | 2018 | 69 | |
| 10 | 2009 | 66 | |
| 11 | 2014 | 65 | |
| 12 | 2009 | 61 | |
| 13 | 2020 | 61 | |
| 14 | 2006 | 59 | |
| 15 | 2011 | 58 | |
| 16 | 2011 | 58 | |
| 17 | 2013 | 55 | |
| 18 | 2013 | 54 | |
| 19 | 2008 | 53 | |
| 20 | 2012 | 47 |
About Xing Qiu
Xing Qiu is a scholar working on Molecular Biology, Epidemiology, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Surgery, having authored 126 papers that have together received 2.6k indexed citations. Recurring topics across this work include Gene expression and cancer classification (26 papers), Bioinformatics and Genomic Networks (20 papers), Respiratory viral infections research (14 papers), Advanced Neuroimaging Techniques and Applications (14 papers), HIV Research and Treatment (11 papers), Neonatal Respiratory Health Research (9 papers), Gene Regulatory Network Analysis (8 papers) and Tracheal and airway disorders (7 papers). The work is most often cited by research in Virology (91 citations), Statistics and Probability (151 citations), Radiology, Nuclear Medicine and Imaging (372 citations), Molecular Biology (922 citations) and Obstetrics and Gynecology (96 citations). Xing Qiu has collaborated with scholars based in United States, China and Czechia. Frequent co-authors include Andrei Yakovlev, Lev B. Klebanov, Galina Glazko, Alexander Gordon, Hulin Wu, Rui Hu, James O. Sanders, Jeanne Holden‐Wiltse, Giovanni Schifitto and Mary T. Caserta. Their work appears in journals such as Scientific Reports, BMC Bioinformatics, PLoS ONE, The Journal of Infectious Diseases and Bioinformatics.
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.