Runsheng Chen
- Cancer Research top 0.1%
- Cancer-related molecular mechanisms research 71
- Molecular Biology top 0.5%
- RNA modifications and cancer 62
- RNA Research and Splicing 55
- RNA and protein synthesis mechanisms 36
- Genomics and Phylogenetic Studies 29
- Machine Learning in Bioinformatics 15
- CRISPR and Genetic Engineering 15
- Endocrinology top 0.5%
- Aging top 2%
- Plant Science top 1%
- Chromosomal and Genetic Variations 18
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Runsheng Chen
216 papers receiving 11.3k citations
Hit Papers
Peers
Comparison fields: 5 of 179
- Cancer Research 5.5k
- Molecular Biology 8.6k
- Endocrinology 635
- Aging 99
- Plant Science 1.9k
Countries citing papers authored by Runsheng Chen
This map shows the geographic impact of Runsheng 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 Runsheng Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runsheng Chen more than expected).
Fields of papers citing papers by Runsheng Chen
This network shows the impact of papers produced by Runsheng 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 Runsheng Chen. The network helps show where Runsheng Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Runsheng 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 0 | |
| 4 | AlphaFold2 and its applications in the fields of biology and medicinebreakdown → | 2023 | 276 |
| 5 | 2021 | 1 | |
| 6 | Factors Predicting Severe Myelosuppression and Its Influence on Fertility in Patients with Low-Risk Gestational Trophoblastic Neoplasia Receiving Single-Agent Methotrexate Chemotherapy | 2020 | 0 |
| 7 | 2017 | 207 | |
| 8 | 2016 | 11 | |
| 9 | 2014 | 26 | |
| 10 | 2014 | 52 | |
| 11 | 2012 | 88 | |
| 12 | 2012 | 10 | |
| 13 | 2011 | 12 | |
| 14 | 2011 | 5 | |
| 15 | 2011 | 37 | |
| 16 | Some reflection on the non-coding RNA research | 2010 | 0 |
| 17 | 2010 | 2 | |
| 18 | 2008 | 13 | |
| 19 | Classification of protein homo-oligomers using support vector machine | 2003 | 1 |
| 20 | Modeling study of a neutral phospholipase A_(2) from the venom of Agkistrodon halys Pallas | 1995 | 1 |
About Runsheng Chen
Runsheng Chen is a scholar working on Cancer Research, Aging and Molecular Biology, having authored 230 papers that have together received 11.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (71 papers), RNA modifications and cancer (62 papers), RNA Research and Splicing (55 papers), RNA and protein synthesis mechanisms (36 papers), Genomics and Phylogenetic Studies (29 papers), Chromosomal and Genetic Variations (18 papers), Machine Learning in Bioinformatics (15 papers) and CRISPR and Genetic Engineering (15 papers). The work is most often cited by research in Cancer Research (5.5k citations), Molecular Biology (8.6k citations) and Endocrinology (635 citations). Runsheng Chen has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yi Zhao, Dechao Bu, Guoguang Zhao, Liang Sun, Shunmin He, Haitao Luo, Yuanning Liu, Changhai Zhang, Jianjun Luo and Geir Skogerbø. Their work appears in journals such as Nucleic Acids Research, BMC Genomics, PLoS ONE, Bioinformatics and Oncotarget.
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.