Hailin Chen
Impact in
- General Materials Science top 1%
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- RNA modifications and cancer 8
- Bioinformatics and Genomic Networks 8
- Circular RNAs in diseases 7
-
- Intermetallics and Advanced Alloy Properties 13
- Co-authors
- Zuping Zhang (12 shared papers)Yong Du (15 shared papers)Honghui Xu (9 shared papers)Julius C. Schuster (5 shared papers)Vincent VanBuren (3 shared papers)Cuiyun He (3 shared papers)Wei Xiong (3 shared papers)Daniel C. Jupiter (1 shared paper)
- Journals
- Journal of Alloys and Compounds (5 papers)Briefings in Bioinformatics (5 papers)BMC Bioinformatics (5 papers)IEEE Access (3 papers)Calphad (3 papers)
- Partner nations
- ChinaAustriaUnited States
In The Last Decade
Hailin Chen
64 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 124
- General Materials Science 76
- Cancer Research 338
- Computational Theory and Mathematics 210
- Mechanical Engineering 350
- Molecular Biology 601
Countries citing papers authored by Hailin Chen
This map shows the geographic impact of Hailin 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 Hailin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hailin Chen more than expected).
Fields of papers citing papers by Hailin Chen
This network shows the impact of papers produced by Hailin 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 Hailin Chen. The network helps show where Hailin Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Hailin 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 100 | |
| 2 | 2013 | 99 | |
| 3 | 2015 | 63 | |
| 4 | 2008 | 59 | |
| 5 | 2020 | 56 | |
| 6 | 2009 | 50 | |
| 7 | 2006 | 47 | |
| 8 | 2009 | 46 | |
| 9 | 2006 | 45 | |
| 10 | 2013 | 42 | |
| 11 | 2020 | 37 | |
| 12 | 2005 | 32 | |
| 13 | 2008 | 32 | |
| 14 | 2007 | 31 | |
| 15 | 2022 | 29 | |
| 16 | 2007 | 27 | |
| 17 | 2023 | 27 | |
| 18 | 2021 | 24 | |
| 19 | 2022 | 22 | |
| 20 | 2019 | 21 |
About Hailin Chen
Hailin Chen is a scholar working on Molecular Biology, Mechanical Engineering, Cancer Research, Materials Chemistry and General Materials Science, having authored 66 papers that have together received 1.2k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (14 papers), Intermetallics and Advanced Alloy Properties (13 papers), Cancer-related molecular mechanisms research (12 papers), RNA modifications and cancer (8 papers), Metallurgical and Alloy Processes (8 papers), Bioinformatics and Genomic Networks (8 papers), Circular RNAs in diseases (7 papers) and Quasicrystal Structures and Properties (6 papers). The work is most often cited by research in General Materials Science (76 citations), Cancer Research (338 citations), Computational Theory and Mathematics (210 citations), Mechanical Engineering (350 citations) and Molecular Biology (601 citations). Hailin Chen has collaborated with scholars based in China, Austria and United States. Frequent co-authors include Zuping Zhang, Yong Du, Honghui Xu, Julius C. Schuster, Vincent VanBuren, Cuiyun He, Wei Xiong, Daniel C. Jupiter, Shuhong Liu and Bo Yang. Their work appears in journals such as Journal of Alloys and Compounds, Briefings in Bioinformatics, BMC Bioinformatics, IEEE Access and Calphad.
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.