Ning Lv
Impact in
- Geriatrics and Gerontology top 5%
- Sirtuins and Resveratrol in Medicine
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Breast Cancer Treatment Studies
Papers in
-
- Glutathione Transferases and Polymorphisms 4
- Genomics, phytochemicals, and oxidative stress 4
- Oncology 15
- Peptidase Inhibition and Analysis 4
- HER2/EGFR in Cancer Research 3
- Co-authors
- Rui Xue (1 shared paper)Jie Liao (1 shared paper)Ni Ai (1 shared paper)Donghang Xu (1 shared paper)Xiaohui Fan (1 shared paper)Xin Shao (1 shared paper)Yanan Kong (9 shared papers)Xiaoming Xie (6 shared papers)
- Journals
- PLoS ONE (4 papers)European Radiology (2 papers)International Journal of Cancer (2 papers)Gastrointestinal Endoscopy (2 papers)Diagnostic Pathology (1 paper)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Ning Lv
69 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 118
- Geriatrics and Gerontology 57
- Cancer Research 222
- Oncology 283
- Hepatology 48
- Pathology and Forensic Medicine 110
Countries citing papers authored by Ning Lv
This map shows the geographic impact of Ning Lv'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 Lv with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Lv more than expected).
Fields of papers citing papers by Ning Lv
This network shows the impact of papers produced by Ning Lv. 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 Lv. The network helps show where Ning Lv may publish in the future.
Co-authors
The 25 scholars most cited alongside Ning Lv, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 183 | |
| 2 | 2012 | 73 | |
| 3 | 2022 | 65 | |
| 4 | 2012 | 61 | |
| 5 | 2021 | 53 | |
| 6 | 2010 | 51 | |
| 7 | 2019 | 46 | |
| 8 | 2014 | 45 | |
| 9 | 2013 | 38 | |
| 10 | 2018 | 36 | |
| 11 | 2016 | 36 | |
| 12 | 2020 | 32 | |
| 13 | 2011 | 30 | |
| 14 | 2016 | 29 | |
| 15 | 2019 | 26 | |
| 16 | 2021 | 26 | |
| 17 | 2023 | 26 | |
| 18 | 2015 | 26 | |
| 19 | 2019 | 23 | |
| 20 | 2018 | 22 |
About Ning Lv
Ning Lv is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Surgery, having authored 69 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (6 papers), Peptidase Inhibition and Analysis (4 papers), Glutathione Transferases and Polymorphisms (4 papers), Genomics, phytochemicals, and oxidative stress (4 papers), Esophageal Cancer Research and Treatment (4 papers), Lung Cancer Diagnosis and Treatment (4 papers), HER2/EGFR in Cancer Research (3 papers) and Medical Imaging and Pathology Studies (3 papers). The work is most often cited by research in Geriatrics and Gerontology (57 citations), Cancer Research (222 citations), Oncology (283 citations), Hepatology (48 citations) and Pathology and Forensic Medicine (110 citations). Ning Lv has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Rui Xue, Jie Liao, Ni Ai, Donghang Xu, Xiaohui Fan, Xin Shao, Yanan Kong, Xiaoming Xie, Peihong Wu and Chaofan Chen. Their work appears in journals such as PLoS ONE, European Radiology, International Journal of Cancer, Gastrointestinal Endoscopy and Diagnostic Pathology.
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.