Dawei Qu
Impact in
- Obstetrics and Gynecology top 2%
- Pregnancy and preeclampsia studies
- Sensory Systems top 5%
- Hearing, Cochlea, Tinnitus, Genetics
Papers in
-
- Pregnancy and preeclampsia studies 13
- Genetics 7
- Animal Genetics and Reproduction 2
- Ocular Disorders and Treatments 2
- Co-authors
- S. Lee Adamson (15 shared papers)Kathie J. Whiteley (8 shared papers)Shathiyah Kulandavelu (4 shared papers)Junwu Mu (5 shared papers)Shannon A. Bainbridge (4 shared papers)Sarah M. McCormick (1 shared paper)John G. Sled (3 shared papers)John C. Kingdom (2 shared papers)
- Journals
- Nature Communications (4 papers)Hypertension (4 papers)Biology of Reproduction (1 paper)Reproductive Biology and Endocrinology (1 paper)Genome Medicine (1 paper)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Dawei Qu
27 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 94
- Obstetrics and Gynecology 361
- Sensory Systems 89
- Molecular Biology 430
- Genetics 193
- Pediatrics, Perinatology and Child Health 82
Countries citing papers authored by Dawei Qu
This map shows the geographic impact of Dawei 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 Dawei Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dawei Qu more than expected).
Fields of papers citing papers by Dawei Qu
This network shows the impact of papers produced by Dawei 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 Dawei Qu. The network helps show where Dawei Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Dawei 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 206 | |
| 2 | 2017 | 196 | |
| 3 | 2012 | 124 | |
| 4 | 2017 | 122 | |
| 5 | 2008 | 95 | |
| 6 | 2017 | 95 | |
| 7 | 2008 | 76 | |
| 8 | 2002 | 66 | |
| 9 | 2012 | 65 | |
| 10 | 2012 | 59 | |
| 11 | 2006 | 55 | |
| 12 | 2018 | 53 | |
| 13 | 2022 | 38 | |
| 14 | 2006 | 33 | |
| 15 | 2018 | 31 | |
| 16 | 2013 | 25 | |
| 17 | 2007 | 23 | |
| 18 | 2013 | 14 | |
| 19 | 2014 | 14 | |
| 20 | 2022 | 9 |
About Dawei Qu
Dawei Qu is a scholar working on Obstetrics and Gynecology, Genetics, Molecular Biology, Immunology and Sensory Systems, having authored 28 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (13 papers), Reproductive System and Pregnancy (3 papers), Animal Genetics and Reproduction (2 papers), Cardiomyopathy and Myosin Studies (2 papers), Ocular Disorders and Treatments (2 papers), Developmental Biology and Gene Regulation (2 papers), Cardiac electrophysiology and arrhythmias (2 papers) and Congenital heart defects research (2 papers). The work is most often cited by research in Obstetrics and Gynecology (361 citations), Sensory Systems (89 citations), Molecular Biology (430 citations), Genetics (193 citations) and Pediatrics, Perinatology and Child Health (82 citations). Dawei Qu has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include S. Lee Adamson, Kathie J. Whiteley, Shathiyah Kulandavelu, Junwu Mu, Shannon A. Bainbridge, Sarah M. McCormick, John G. Sled, John C. Kingdom, B. Lowell Langille and Monique Y. Rennie. Their work appears in journals such as Nature Communications, Hypertension, Biology of Reproduction, Reproductive Biology and Endocrinology and Genome Medicine.
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.