Nanlin Li
Impact in
- Developmental Neuroscience top 10%
- Anesthesia and Neurotoxicity Research
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Breast Cancer Treatment Studies 5
- Oncology 8
- HER2/EGFR in Cancer Research 6
- Co-authors
- Wen‐Ping Wu (4 shared papers)Yun-Li Li (2 shared papers)Rui Ling (6 shared papers)Shifang Yuan (5 shared papers)Xiangwei Kong (2 shared papers)Ruidong Ye (2 shared papers)Junliang Han (2 shared papers)Qianzi Yang (2 shared papers)
- Journals
- Frontiers in Oncology (2 papers)Computational Materials Science (2 papers)Rejuvenation Research (1 paper)JOM (1 paper)Cancer Research (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Nanlin Li
27 papers receiving 485 citations
Peers
Comparison fields: 5 of 77
- Developmental Neuroscience 50
- Cancer Research 128
- Critical Care and Intensive Care Medicine 25
- Neurology 27
- Molecular Biology 196
Countries citing papers authored by Nanlin Li
This map shows the geographic impact of Nanlin Li'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 Nanlin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nanlin Li more than expected).
Fields of papers citing papers by Nanlin Li
This network shows the impact of papers produced by Nanlin Li. 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 Nanlin Li. The network helps show where Nanlin Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Nanlin Li, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 61 | |
| 2 | 2012 | 55 | |
| 3 | 2018 | 54 | |
| 4 | 2017 | 44 | |
| 5 | 2014 | 42 | |
| 6 | 2015 | 27 | |
| 7 | 2017 | 26 | |
| 8 | 2015 | 24 | |
| 9 | 2011 | 21 | |
| 10 | 2011 | 20 | |
| 11 | 2013 | 17 | |
| 12 | The overexpression membrane type 1 matrix metalloproteinase is associated with the progression and prognosis in breast cancer. | 2015 | 16 |
| 13 | 2007 | 14 | |
| 14 | 2014 | 12 | |
| 15 | 2018 | 11 | |
| 16 | 2023 | 8 | |
| 17 | 2017 | 8 | |
| 18 | 2022 | 6 | |
| 19 | 2023 | 5 | |
| 20 | 2023 | 5 |
About Nanlin Li
Nanlin Li is a scholar working on Cancer Research, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 28 papers that have together received 493 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (6 papers), Breast Cancer Treatment Studies (5 papers), Microstructure and mechanical properties (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Advanced Breast Cancer Therapies (4 papers), Anesthesia and Neurotoxicity Research (2 papers), Circular RNAs in diseases (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Developmental Neuroscience (50 citations), Cancer Research (128 citations), Critical Care and Intensive Care Medicine (25 citations), Neurology (27 citations) and Molecular Biology (196 citations). Nanlin Li has collaborated with scholars based in China and United States. Frequent co-authors include Wen‐Ping Wu, Yun-Li Li, Rui Ling, Shifang Yuan, Xiangwei Kong, Ruidong Ye, Junliang Han, Qianzi Yang, Jianghao Chen and Jing Fan. Their work appears in journals such as Frontiers in Oncology, Computational Materials Science, Rejuvenation Research, JOM and Cancer Research.
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.