Ning Na
Impact in
- Transplantation top 5%
- Renal Transplantation Outcomes and Treatments
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune cells in cancer
- Immunotherapy and Immune Responses
Papers in
-
- Renal Transplantation Outcomes and Treatments 23
- Nephrology 10
- Acute Kidney Injury Research 8
- Chronic Kidney Disease and Diabetes 3
- Co-authors
- Yong Xiang Zhao (7 shared papers)Xiaodong Zhang (1 shared paper)Huiting Su (1 shared paper)Jiang Qiu (8 shared papers)Bin Miao (14 shared papers)Zhengyu Huang (16 shared papers)Lizhong Chen (2 shared papers)Yang Zhao (4 shared papers)
- Journals
- Frontiers in Medicine (4 papers)Renal Failure (4 papers)OncoTargets and Therapy (3 papers)Frontiers in Immunology (3 papers)Oncotarget (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ning Na
57 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 85
- Transplantation 91
- Immunology 246
- Nephrology 114
- Cancer Research 88
- Oncology 135
Countries citing papers authored by Ning Na
This map shows the geographic impact of Ning Na'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 Na with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Na more than expected).
Fields of papers citing papers by Ning Na
This network shows the impact of papers produced by Ning Na. 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 Na. The network helps show where Ning Na may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning Na, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 225 | |
| 2 | 2018 | 61 | |
| 3 | 2021 | 50 | |
| 4 | 2018 | 46 | |
| 5 | 2016 | 38 | |
| 6 | 2018 | 37 | |
| 7 | 2016 | 36 | |
| 8 | 2015 | 32 | |
| 9 | 2016 | 32 | |
| 10 | 2020 | 32 | |
| 11 | 2021 | 31 | |
| 12 | 2018 | 30 | |
| 13 | 2017 | 28 | |
| 14 | 2017 | 28 | |
| 15 | 2016 | 24 | |
| 16 | 2021 | 23 | |
| 17 | 2017 | 21 | |
| 18 | 2020 | 21 | |
| 19 | 2021 | 21 | |
| 20 | 2020 | 20 |
About Ning Na
Ning Na is a scholar working on Transplantation, Nephrology, Immunology, Molecular Biology and Genetics, having authored 63 papers that have together received 1.2k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (23 papers), Acute Kidney Injury Research (8 papers), T-cell and B-cell Immunology (5 papers), Transplantation: Methods and Outcomes (4 papers), Organ Donation and Transplantation (4 papers), Immunotherapy and Immune Responses (4 papers), Chronic Kidney Disease and Diabetes (3 papers) and Mesenchymal stem cell research (3 papers). The work is most often cited by research in Transplantation (91 citations), Immunology (246 citations), Nephrology (114 citations), Cancer Research (88 citations) and Oncology (135 citations). Ning Na has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yong Xiang Zhao, Xiaodong Zhang, Huiting Su, Jiang Qiu, Bin Miao, Zhengyu Huang, Lizhong Chen, Yang Zhao, Heng Li and You Luo. Their work appears in journals such as Frontiers in Medicine, Renal Failure, OncoTargets and Therapy, Frontiers in Immunology and Oncotarget.
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.