Lingchao Chen
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Software top 5%
- Software Testing and Debugging Techniques
Papers in
-
- Circular RNAs in diseases 9
-
- MicroRNA in disease regulation 15
- Cancer-related molecular mechanisms research 10
- Co-authors
- Yongli Li (9 shared papers)Chunsheng Kang (8 shared papers)Chuanlu Jiang (10 shared papers)Lingming Zhang (5 shared papers)Wenzhong Du (8 shared papers)Yu Yao (13 shared papers)Tao Jiang (7 shared papers)Ying Mao (9 shared papers)
- Journals
- Journal of Neuro-Oncology (5 papers)Cancer Letters (4 papers)Oncotarget (4 papers)Neuro-Oncology (3 papers)CNS Neuroscience & Therapeutics (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Lingchao Chen
57 papers receiving 1.9k citations
Lingchao Chen's Hit Papers
Peers
Comparison fields: 5 of 118
- Cancer Research 694
- Software 121
- Genetics 223
- Molecular Biology 967
- Biophysics 55
Countries citing papers authored by Lingchao Chen
This map shows the geographic impact of Lingchao Chen'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 Lingchao Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingchao Chen more than expected).
Fields of papers citing papers by Lingchao Chen
This network shows the impact of papers produced by Lingchao Chen. 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 Lingchao Chen. The network helps show where Lingchao Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingchao Chen, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Unraveling mitochondria‐targeting reactive oxygen species modulation and their implementations in cancer therapy by nanomaterials Hit paper breakdown → | 2023 | 135 |
| 2 | 2012 | 98 | |
| 3 | 2012 | 92 | |
| 4 | 2012 | 88 | |
| 5 | 2016 | 84 | |
| 6 | 2012 | 81 | |
| 7 | 2013 | 79 | |
| 8 | 2013 | 74 | |
| 9 | 2013 | 72 | |
| 10 | 2014 | 69 | |
| 11 | 2012 | 69 | |
| 12 | 2012 | 60 | |
| 13 | 2016 | 59 | |
| 14 | 2019 | 57 | |
| 15 | 2015 | 50 | |
| 16 | 2018 | 47 | |
| 17 | 2014 | 47 | |
| 18 | 2015 | 45 | |
| 19 | 2022 | 45 | |
| 20 | 2024 | 42 |
About Lingchao Chen
Lingchao Chen is a scholar working on Molecular Biology, Cancer Research, Genetics, Biotechnology and Immunology, having authored 59 papers that have together received 2.0k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (16 papers), MicroRNA in disease regulation (15 papers), Cancer-related molecular mechanisms research (10 papers), Circular RNAs in diseases (9 papers), Software Testing and Debugging Techniques (5 papers), Software Engineering Research (4 papers), Microbial Inactivation Methods (4 papers) and Software Reliability and Analysis Research (4 papers). The work is most often cited by research in Cancer Research (694 citations), Software (121 citations), Genetics (223 citations), Molecular Biology (967 citations) and Biophysics (55 citations). Lingchao Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yongli Li, Chunsheng Kang, Chuanlu Jiang, Lingming Zhang, Wenzhong Du, Yu Yao, Tao Jiang, Ying Mao, Feng Yan and Peiyu Pu. Their work appears in journals such as Journal of Neuro-Oncology, Cancer Letters, Oncotarget, Neuro-Oncology and CNS Neuroscience & Therapeutics.
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.