Ling Nie
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Genetics top 10%
- Glioma Diagnosis and Treatment
Papers in
-
- Renal and related cancers 5
-
- Prostate Cancer Treatment and Research 12
- Prostate Cancer Diagnosis and Treatment 7
- Renal cell carcinoma treatment 6
- Co-authors
- Qiao Zhou (29 shared papers)Miao Xu (21 shared papers)Xueqin Chen (14 shared papers)Ni Chen (28 shared papers)Mengni Zhang (14 shared papers)Ni Chen (7 shared papers)Hao Zeng (15 shared papers)Xinglan Li (8 shared papers)
- Journals
- The Prostate (7 papers)Journal of Clinical Pathology (5 papers)Neuropathology (4 papers)Annals of Oncology (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaSwitzerlandUnited Kingdom
In The Last Decade
Ling Nie
53 papers receiving 718 citations
Peers
Comparison fields: 5 of 89
- Cancer Research 328
- Genetics 93
- Molecular Biology 445
- Pulmonary and Respiratory Medicine 209
- Structural Biology 5
Countries citing papers authored by Ling Nie
This map shows the geographic impact of Ling Nie'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 Ling Nie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Nie more than expected).
Fields of papers citing papers by Ling Nie
This network shows the impact of papers produced by Ling Nie. 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 Ling Nie. The network helps show where Ling Nie may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Nie, 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 | 2017 | 130 | |
| 2 | 2010 | 121 | |
| 3 | 2022 | 40 | |
| 4 | SOX9 was involved in TKIs resistance in renal cell carcinoma via Raf/MEK/ERK signaling pathway. | 2015 | 27 |
| 5 | 2016 | 26 | |
| 6 | 2013 | 23 | |
| 7 | 2011 | 21 | |
| 8 | 2019 | 21 | |
| 9 | 2018 | 19 | |
| 10 | 2019 | 18 | |
| 11 | 2020 | 17 | |
| 12 | 2012 | 17 | |
| 13 | 2020 | 17 | |
| 14 | 2023 | 16 | |
| 15 | 2018 | 14 | |
| 16 | 2015 | 13 | |
| 17 | 2015 | 13 | |
| 18 | 2021 | 10 | |
| 19 | 2021 | 10 | |
| 20 | 2022 | 10 |
About Ling Nie
Ling Nie is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Genetics and Cardiology and Cardiovascular Medicine, having authored 63 papers that have together received 726 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (12 papers), Cancer-related molecular mechanisms research (9 papers), Prostate Cancer Diagnosis and Treatment (7 papers), Renal cell carcinoma treatment (6 papers), Glioma Diagnosis and Treatment (6 papers), Cancer, Lipids, and Metabolism (5 papers), MicroRNA in disease regulation (5 papers) and Renal and related cancers (5 papers). The work is most often cited by research in Cancer Research (328 citations), Genetics (93 citations), Molecular Biology (445 citations), Pulmonary and Respiratory Medicine (209 citations) and Structural Biology (5 citations). Ling Nie has collaborated with scholars based in China, Switzerland and United Kingdom. Frequent co-authors include Qiao Zhou, Miao Xu, Xueqin Chen, Ni Chen, Mengni Zhang, Ni Chen, Hao Zeng, Xinglan Li, Jing Gong and Xueqin Chen. Their work appears in journals such as The Prostate, Journal of Clinical Pathology, Neuropathology, Annals of Oncology and Scientific Reports.
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.