Long Chen
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- Molecular Biology Techniques and Applications
- RNA modifications and cancer
Papers in
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- Protein Interaction Studies and Fluorescence Analysis 4
- RNA Research and Splicing 3
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- MicroRNA in disease regulation 6
- Cancer, Hypoxia, and Metabolism 6
- Cancer Genomics and Diagnostics 5
- Co-authors
- Ping Zhang (5 shared papers)Kaijun Ma (9 shared papers)Yehui Lv (6 shared papers)Heng Zhang (3 shared papers)Duan Ma (3 shared papers)Chunmin Liang (8 shared papers)Xiaohong Shi (2 shared papers)Yinghui Chen (2 shared papers)
- Journals
- Oncotarget (4 papers)Journal of Clinical Oncology (3 papers)Applied Physics B (2 papers)Advanced Optical Materials (2 papers)Science & Justice (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Long Chen
86 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 130
- Cancer Research 237
- Molecular Biology 521
- Biological Psychiatry 16
- Oncology 139
- Insect Science 66
Countries citing papers authored by Long Chen
This map shows the geographic impact of Long 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 Long Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Chen more than expected).
Fields of papers citing papers by Long Chen
This network shows the impact of papers produced by Long 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 Long Chen. The network helps show where Long Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Long 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 94 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 75 | |
| 2 | 2014 | 64 | |
| 3 | 1992 | 53 | |
| 4 | 2015 | 50 | |
| 5 | 2016 | 47 | |
| 6 | 2012 | 44 | |
| 7 | 2014 | 42 | |
| 8 | 2016 | 42 | |
| 9 | 2016 | 32 | |
| 10 | 2016 | 29 | |
| 11 | 2013 | 29 | |
| 12 | 2020 | 29 | |
| 13 | 2012 | 29 | |
| 14 | 2010 | 27 | |
| 15 | 2024 | 26 | |
| 16 | 2022 | 26 | |
| 17 | 2015 | 26 | |
| 18 | 2022 | 25 | |
| 19 | 2018 | 24 | |
| 20 | 2020 | 23 |
About Long Chen
Long Chen is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Atomic and Molecular Physics, and Optics, having authored 94 papers that have together received 1.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Cancer Genomics and Diagnostics (5 papers), CAR-T cell therapy research (5 papers), Protein Interaction Studies and Fluorescence Analysis (4 papers), RNA Research and Splicing (3 papers), Immunotherapy and Immune Responses (3 papers) and Acoustic Wave Resonator Technologies (3 papers). The work is most often cited by research in Cancer Research (237 citations), Molecular Biology (521 citations), Biological Psychiatry (16 citations), Oncology (139 citations) and Insect Science (66 citations). Long Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ping Zhang, Kaijun Ma, Yehui Lv, Heng Zhang, Duan Ma, Chunmin Liang, Xiaohong Shi, Yinghui Chen, Huijun Wang and Meng He. Their work appears in journals such as Oncotarget, Journal of Clinical Oncology, Applied Physics B, Advanced Optical Materials and Science & Justice.
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.