Ning Qu
Impact in
- Reproductive Medicine top 2%
- Sperm and Testicular Function
- Immunology top 5%
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
- Surgery 33
- Testicular diseases and treatments 7
- Xenotransplantation and immune response 6
- Co-authors
- Masahiro Itoh (60 shared papers)Munekazu Naito (42 shared papers)Shuichi Hirai (42 shared papers)Hayato Terayama (49 shared papers)I Buyuksal (2 shared papers)Terry H. Landowski (2 shared papers)Jeffrey S. Painter (2 shared papers)William S. Dalton (2 shared papers)
- Journals
- Journal of Reproductive Immunology (7 papers)Medical Molecular Morphology (6 papers)International Journal of Molecular Sciences (5 papers)Anatomical Science International (4 papers)Blood (3 papers)
- Partner nations
- JapanChinaUnited States
In The Last Decade
Ning Qu
106 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 133
- Reproductive Medicine 305
- Immunology 526
- Equine 39
- Biochemistry 100
- Hematology 136
Countries citing papers authored by Ning Qu
This map shows the geographic impact of Ning 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 Ning Qu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Qu more than expected).
Fields of papers citing papers by Ning Qu
This network shows the impact of papers produced by Ning 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 Ning Qu. The network helps show where Ning Qu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning 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 111 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 189 | |
| 2 | 1997 | 166 | |
| 3 | 2013 | 161 | |
| 4 | 2003 | 158 | |
| 5 | 2012 | 149 | |
| 6 | 2015 | 119 | |
| 7 | 2005 | 89 | |
| 8 | 2019 | 62 | |
| 9 | 2003 | 49 | |
| 10 | 2016 | 49 | |
| 11 | 2012 | 46 | |
| 12 | 2019 | 45 | |
| 13 | 1995 | 43 | |
| 14 | 2007 | 41 | |
| 15 | 2020 | 32 | |
| 16 | 2012 | 31 | |
| 17 | 2009 | 31 | |
| 18 | 2016 | 31 | |
| 19 | 2015 | 30 | |
| 20 | 2014 | 27 |
About Ning Qu
Ning Qu is a scholar working on Surgery, Molecular Biology, Immunology, Reproductive Medicine and Pulmonary and Respiratory Medicine, having authored 111 papers that have together received 2.3k indexed citations. Recurring topics across this work include Sperm and Testicular Function (19 papers), Reproductive Biology and Fertility (8 papers), Immunotherapy and Immune Responses (7 papers), Testicular diseases and treatments (7 papers), Xenotransplantation and immune response (6 papers), Renal and Vascular Pathologies (6 papers), T-cell and B-cell Immunology (5 papers) and Reproductive System and Pregnancy (5 papers). The work is most often cited by research in Reproductive Medicine (305 citations), Immunology (526 citations), Equine (39 citations), Biochemistry (100 citations) and Hematology (136 citations). Ning Qu has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Masahiro Itoh, Munekazu Naito, Shuichi Hirai, Hayato Terayama, I Buyuksal, Terry H. Landowski, Jeffrey S. Painter, William S. Dalton, Shogo Hayashi and Kou Sakabe. Their work appears in journals such as Journal of Reproductive Immunology, Medical Molecular Morphology, International Journal of Molecular Sciences, Anatomical Science International and Blood.
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.