Ling Zhou
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Obstetrics and Gynecology top 10%
- Pregnancy and preeclampsia studies
Papers in
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- Metabolomics and Mass Spectrometry Studies 2
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- Cancer-related molecular mechanisms research 7
- MicroRNA in disease regulation 5
- Co-authors
- Lei Shen (3 shared papers)Deyu Xu (3 shared papers)Guo‐Yuan Lu (2 shared papers)Dao Wen Wang (4 shared papers)Chen Chen (3 shared papers)Sei‐ichi Nishimoto (5 shared papers)Huji Xu (5 shared papers)Zhongwei Yin (2 shared papers)
- Journals
- Biomedicine & Pharmacotherapy (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Biochemical and Biophysical Research Communications (2 papers)Cell Death and Disease (2 papers)Biomolecules (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Ling Zhou
52 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 104
- Cancer Research 391
- Obstetrics and Gynecology 70
- Rheumatology 103
- Molecular Biology 500
- Immunology 98
Countries citing papers authored by Ling Zhou
This map shows the geographic impact of Ling Zhou'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 Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Zhou more than expected).
Fields of papers citing papers by Ling Zhou
This network shows the impact of papers produced by Ling Zhou. 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 Zhou. The network helps show where Ling Zhou may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Zhou, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 148 | |
| 2 | 2015 | 102 | |
| 3 | 2019 | 99 | |
| 4 | 2015 | 81 | |
| 5 | 2018 | 61 | |
| 6 | 2018 | 45 | |
| 7 | 2017 | 43 | |
| 8 | 2016 | 32 | |
| 9 | 2001 | 32 | |
| 10 | 2013 | 31 | |
| 11 | 2016 | 31 | |
| 12 | 2015 | 31 | |
| 13 | 2016 | 30 | |
| 14 | 2017 | 30 | |
| 15 | 2019 | 28 | |
| 16 | 2000 | 24 | |
| 17 | 2017 | 20 | |
| 18 | 2019 | 17 | |
| 19 | 2011 | 16 | |
| 20 | 2021 | 14 |
About Ling Zhou
Ling Zhou is a scholar working on Molecular Biology, Cancer Research, Rheumatology, Pharmacology and Genetics, having authored 57 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), MicroRNA in disease regulation (5 papers), Rheumatoid Arthritis Research and Therapies (4 papers), Pharmacogenetics and Drug Metabolism (3 papers), Spondyloarthritis Studies and Treatments (3 papers), High Altitude and Hypoxia (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Wound Healing and Treatments (2 papers). The work is most often cited by research in Cancer Research (391 citations), Obstetrics and Gynecology (70 citations), Rheumatology (103 citations), Molecular Biology (500 citations) and Immunology (98 citations). Ling Zhou has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Lei Shen, Deyu Xu, Guo‐Yuan Lu, Dao Wen Wang, Chen Chen, Sei‐ichi Nishimoto, Huji Xu, Zhongwei Yin, Feng Wang and Xia Yin. Their work appears in journals such as Biomedicine & Pharmacotherapy, Bioorganic & Medicinal Chemistry Letters, Biochemical and Biophysical Research Communications, Cell Death and Disease and Biomolecules.
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.