Ning Na
Impact in
- Transplantation top 5%
- Immunology top 5%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Macrophage Migration Inhibitory Factor
Papers in
-
- Natural product bioactivities and synthesis 8
- Renal and related cancers 6
-
- Plant Stress Responses and Tolerance 5
- Co-authors
- Yong Zhao (7 shared papers)Huiting Su (3 shared papers)Xiaodong Zhang (1 shared paper)Jiang Qiu (8 shared papers)Liangqing Hong (15 shared papers)Bin Miao (14 shared papers)Nai‐Hong Chen (7 shared papers)Zhengyu Huang (17 shared papers)
- Journals
- Renal Failure (4 papers)Molecules (4 papers)Frontiers in Medicine (4 papers)OncoTargets and Therapy (3 papers)PLoS ONE (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ning Na
120 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 134
- Transplantation 64
- Immunology 419
- Cancer Research 200
- Pharmacology 117
- Pharmacology 169
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 133 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 209 | |
| 2 | 2021 | 98 | |
| 3 | 2012 | 82 | |
| 4 | 2018 | 66 | |
| 5 | 2018 | 60 | |
| 6 | 2021 | 47 | |
| 7 | 2014 | 46 | |
| 8 | 2018 | 43 | |
| 9 | 2015 | 43 | |
| 10 | 2010 | 42 | |
| 11 | 2020 | 42 | |
| 12 | 2014 | 39 | |
| 13 | 2016 | 38 | |
| 14 | 2018 | 37 | |
| 15 | 2013 | 36 | |
| 16 | 2016 | 35 | |
| 17 | 2018 | 33 | |
| 18 | 2021 | 33 | |
| 19 | 2015 | 32 | |
| 20 | 2016 | 30 |
About Ning Na
Ning Na is a scholar working on Molecular Biology, Plant Science, Immunology, Cancer Research and Pharmacology, having authored 133 papers that have together received 2.1k indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (8 papers), Renal Transplantation Outcomes and Treatments (8 papers), Pharmacological Effects of Natural Compounds (7 papers), Renal and related cancers (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Immunotherapy and Immune Responses (5 papers), Cancer-related molecular mechanisms research (5 papers) and Plant Stress Responses and Tolerance (5 papers). The work is most often cited by research in Transplantation (64 citations), Immunology (419 citations), Cancer Research (200 citations), Pharmacology (117 citations) and Pharmacology (169 citations). Ning Na has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yong Zhao, Huiting Su, Xiaodong Zhang, Jiang Qiu, Liangqing Hong, Bin Miao, Nai‐Hong Chen, Zhengyu Huang, Jinhua Zhang and Yang Zhao. Their work appears in journals such as Renal Failure, Molecules, Frontiers in Medicine, OncoTargets and Therapy and PLoS ONE.
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.