Ning Wu
Impact in
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
- Family Practice top 10%
Papers in
-
- Epigenetics and DNA Methylation 2
- Surgery 10
- Esophageal Cancer Research and Treatment 6
- Co-authors
- Liewen Pang (11 shared papers)Gang Chen (6 shared papers)Yang Song (4 shared papers)Yongjun Zhu (5 shared papers)Jin Li (2 shared papers)David C. Hoaglin (1 shared paper)Sarah L. Minden (1 shared paper)Debra Frankel (1 shared paper)
- Journals
- Technology in Cancer Research & Treatment (2 papers)ClinicoEconomics and Outcomes Research (2 papers)Neurology (2 papers)Journal of Medical Economics (2 papers)Apmis (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ning Wu
43 papers receiving 914 citations
Peers
Comparison fields: 5 of 105
- Biological Psychiatry 46
- Family Practice 16
- Pathology and Forensic Medicine 152
- Cancer Research 81
- Cellular and Molecular Neuroscience 89
Countries citing papers authored by Ning Wu
This map shows the geographic impact of Ning Wu'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 Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Wu more than expected).
Fields of papers citing papers by Ning Wu
This network shows the impact of papers produced by Ning Wu. 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 Wu. The network helps show where Ning Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning Wu, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 215 | |
| 2 | 2007 | 71 | |
| 3 | 2015 | 66 | |
| 4 | 2017 | 65 | |
| 5 | 2021 | 51 | |
| 6 | 2022 | 42 | |
| 7 | 2011 | 36 | |
| 8 | 2010 | 34 | |
| 9 | 2018 | 33 | |
| 10 | 2018 | 27 | |
| 11 | 2020 | 25 | |
| 12 | 2014 | 23 | |
| 13 | 2016 | 23 | |
| 14 | 2013 | 20 | |
| 15 | 2017 | 20 | |
| 16 | 2015 | 18 | |
| 17 | 2016 | 18 | |
| 18 | 2014 | 13 | |
| 19 | 2020 | 13 | |
| 20 | Tumour length is an independent prognostic factor of esophageal squamous cell carcinomas. | 2012 | 11 |
About Ning Wu
Ning Wu is a scholar working on Molecular Biology, Surgery, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Oncology, having authored 45 papers that have together received 938 indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (6 papers), Multiple Sclerosis Research Studies (4 papers), Neuroendocrine regulation and behavior (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Immune cells in cancer (2 papers), Epigenetics and DNA Methylation (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers) and Neurotransmitter Receptor Influence on Behavior (2 papers). The work is most often cited by research in Biological Psychiatry (46 citations), Family Practice (16 citations), Pathology and Forensic Medicine (152 citations), Cancer Research (81 citations) and Cellular and Molecular Neuroscience (89 citations). Ning Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Liewen Pang, Gang Chen, Yang Song, Yongjun Zhu, Jin Li, David C. Hoaglin, Sarah L. Minden, Debra Frankel, Louise Hadden and Gong Je Seong. Their work appears in journals such as Technology in Cancer Research & Treatment, ClinicoEconomics and Outcomes Research, Neurology, Journal of Medical Economics and Apmis.
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.