Chunshen Long
Impact in
-
- Machine Learning in Bioinformatics
- Single-cell and spatial transcriptomics
- Epigenetics and DNA Methylation
- Genomics and Phylogenetic Studies
- CRISPR and Genetic Engineering
- RNA and protein synthesis mechanisms
-
- Cancer-related molecular mechanisms research
Papers in
-
- Single-cell and spatial transcriptomics 8
- CRISPR and Genetic Engineering 8
- Pluripotent Stem Cells Research 6
- Epigenetics and DNA Methylation 5
- Genomics and Chromatin Dynamics 4
- Gene expression and cancer classification 3
-
- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Yongchun Zuo (20 shared papers)Hanshuang Li (14 shared papers)Pengfei Liang (8 shared papers)Lei Yang (3 shared papers)Shuai Liu (2 shared papers)Wuritu Yang (3 shared papers)Tao Li (1 shared paper)Jinzhu Xiang (2 shared papers)
- Journals
- Briefings in Bioinformatics (3 papers)International Journal of Molecular Sciences (2 papers)Theriogenology (2 papers)Molecular Therapy — Nucleic Acids (2 papers)Theoretical and Applied Genetics (1 paper)
- Partner nations
- ChinaUnited StatesMongolia
In The Last Decade
Chunshen Long
21 papers receiving 307 citations
Peers
Comparison fields: 5 of 58
- Molecular Biology 246
- Cancer Research 48
- Biophysics 14
- Reproductive Medicine 18
- Public Health, Environmental and Occupational Health 38
Countries citing papers authored by Chunshen Long
This map shows the geographic impact of Chunshen Long'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 Chunshen Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chunshen Long more than expected).
Fields of papers citing papers by Chunshen Long
This network shows the impact of papers produced by Chunshen Long. 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 Chunshen Long. The network helps show where Chunshen Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Chunshen Long, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 40 | |
| 2 | 2018 | 33 | |
| 3 | 2021 | 31 | |
| 4 | 2020 | 30 | |
| 5 | 2020 | 23 | |
| 6 | 2019 | 22 | |
| 7 | 2021 | 20 | |
| 8 | 2023 | 19 | |
| 9 | 2022 | 15 | |
| 10 | 2022 | 12 | |
| 11 | 2021 | 11 | |
| 12 | 2020 | 10 | |
| 13 | 2024 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2022 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2021 | 3 | |
| 20 | 2023 | 2 |
About Chunshen Long
Chunshen Long is a scholar working on Molecular Biology, Artificial Intelligence, Public Health, Environmental and Occupational Health, Cell Biology and Genetics, having authored 22 papers that have together received 309 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (8 papers), CRISPR and Genetic Engineering (8 papers), Pluripotent Stem Cells Research (6 papers), Epigenetics and DNA Methylation (5 papers), Genomics and Chromatin Dynamics (4 papers), Gene expression and cancer classification (3 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Animal Genetics and Reproduction (2 papers). The work is most often cited by research in Molecular Biology (246 citations), Cancer Research (48 citations), Biophysics (14 citations), Reproductive Medicine (18 citations) and Public Health, Environmental and Occupational Health (38 citations). Chunshen Long has collaborated with scholars based in China, United States and Mongolia. Frequent co-authors include Yongchun Zuo, Hanshuang Li, Pengfei Liang, Lei Yang, Shuai Liu, Wuritu Yang, Tao Li, Jinzhu Xiang, Xueling Li and Hao Wang. Their work appears in journals such as Briefings in Bioinformatics, International Journal of Molecular Sciences, Theriogenology, Molecular Therapy — Nucleic Acids and Theoretical and Applied Genetics.
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.