Lin Cong
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Circular RNAs in diseases 4
-
- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 3
- Co-authors
- Yuhai Zhao (3 shared papers)Walter J. Lukiw (3 shared papers)Jianping Jia (1 shared paper)Vivian Jaber (2 shared papers)Guangyuan He (1 shared paper)Qin Yao (1 shared paper)Jianguo Liu (1 shared paper)Qing Liu (1 shared paper)
- Journals
- Cellular and Molecular Neurobiology (2 papers)Gene (1 paper)Journal of Hematology & Oncology (1 paper)Japanese Journal of Clinical Oncology (1 paper)Frontiers in Neurology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Lin Cong
20 papers receiving 391 citations
Peers
Comparison fields: 5 of 80
- Biological Psychiatry 20
- Cancer Research 79
- Molecular Biology 215
- Neurology 24
- Physiology 72
Countries citing papers authored by Lin Cong
This map shows the geographic impact of Lin Cong'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 Lin Cong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Cong more than expected).
Fields of papers citing papers by Lin Cong
This network shows the impact of papers produced by Lin Cong. 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 Lin Cong. The network helps show where Lin Cong may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Cong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 65 | |
| 2 | 2017 | 58 | |
| 3 | 2024 | 48 | |
| 4 | 2009 | 31 | |
| 5 | 2021 | 28 | |
| 6 | 2017 | 27 | |
| 7 | 2018 | 27 | |
| 8 | 2008 | 25 | |
| 9 | 2015 | 25 | |
| 10 | 2016 | 25 | |
| 11 | 2024 | 11 | |
| 12 | 2022 | 10 | |
| 13 | 2018 | 7 | |
| 14 | 2015 | 6 | |
| 15 | 2017 | 5 | |
| 16 | Silencing the NR2B gene in rat ACC neurons by lentivirus-delivered shRNA alleviates pain-related aversion. | 2015 | 5 |
| 17 | Knockdown of lncRNA PCAT6 Enhances Radiosensitivity in Triple-Negative Breast Cancer Cells by Regulating miR-185-5p/TPD52 Axis | 2020 | 2 |
| 18 | 2017 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2021 | 1 |
About Lin Cong
Lin Cong is a scholar working on Molecular Biology, Cancer Research, Physiology, Cellular and Molecular Neuroscience and Surgery, having authored 20 papers that have together received 410 indexed citations. Recurring topics across this work include Circular RNAs in diseases (4 papers), Cancer-related molecular mechanisms research (4 papers), Alzheimer's disease research and treatments (3 papers), MicroRNA in disease regulation (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Chromosomal and Genetic Variations (2 papers), Genetics and Neurodevelopmental Disorders (1 paper) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Biological Psychiatry (20 citations), Cancer Research (79 citations), Molecular Biology (215 citations), Neurology (24 citations) and Physiology (72 citations). Lin Cong has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yuhai Zhao, Walter J. Lukiw, Jianping Jia, Vivian Jaber, Guangyuan He, Qin Yao, Jianguo Liu, Qing Liu, Feng Duan and Xiaokun Qi. Their work appears in journals such as Cellular and Molecular Neurobiology, Gene, Journal of Hematology & Oncology, Japanese Journal of Clinical Oncology and Frontiers in Neurology.
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.