Junchen Yang
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
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- Machine Learning in Bioinformatics
- Single-cell and spatial transcriptomics
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Gene Regulatory Network Analysis
Papers in
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- Single-cell and spatial transcriptomics 2
- Gene Regulatory Network Analysis 2
- Advanced biosensing and bioanalysis techniques 1
- Machine Learning in Bioinformatics 1
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- Multiferroics and related materials 2
- Co-authors
- Qiankun Wang (1 shared paper)Xiaolei Zhu (1 shared paper)Dong‐Qing Wei (1 shared paper)Yi Xiong (1 shared paper)Yuval Kluger (2 shared papers)Naftali Kaminski (2 shared papers)Laura E. Niklason (2 shared papers)Micha Sam Brickman Raredon (2 shared papers)
- Journals
- Frontiers in Microbiology (1 paper)Scientific Reports (1 paper)Materials Science and Engineering B (1 paper)physica status solidi (a) (1 paper)Bioinformatics (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Junchen Yang
8 papers receiving 219 citations
Peers
Comparison fields: 5 of 68
- Biophysics 28
- Molecular Biology 164
- Endocrinology 8
- Immunology 29
- Computational Theory and Mathematics 18
Countries citing papers authored by Junchen Yang
This map shows the geographic impact of Junchen Yang'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 Junchen Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junchen Yang more than expected).
Fields of papers citing papers by Junchen Yang
This network shows the impact of papers produced by Junchen Yang. 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 Junchen Yang. The network helps show where Junchen Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Junchen Yang, 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 | 2018 | 99 | |
| 2 | 2022 | 68 | |
| 3 | 2022 | 35 | |
| 4 | 2023 | 7 | |
| 5 | The effects of slow-release nitrogen fertilization models on soil biological properties in rice-wheat cropping system. | 2010 | 4 |
| 6 | 2018 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2019 | 1 |
About Junchen Yang
Junchen Yang is a scholar working on Molecular Biology, Electronic, Optical and Magnetic Materials, Materials Chemistry, Infectious Diseases and Epidemiology, having authored 8 papers that have together received 219 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (2 papers), Multiferroics and related materials (2 papers), Gene Regulatory Network Analysis (2 papers), Ferroelectric and Piezoelectric Materials (2 papers), Polymer-Based Agricultural Enhancements (1 paper), Cell Image Analysis Techniques (1 paper), Advanced biosensing and bioanalysis techniques (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Biophysics (28 citations), Molecular Biology (164 citations), Endocrinology (8 citations), Immunology (29 citations) and Computational Theory and Mathematics (18 citations). Junchen Yang has collaborated with scholars based in China and United States. Frequent co-authors include Qiankun Wang, Xiaolei Zhu, Dong‐Qing Wei, Yi Xiong, Yuval Kluger, Naftali Kaminski, Laura E. Niklason, Micha Sam Brickman Raredon, Allison M. Greaney and Wesley Lewis. Their work appears in journals such as Frontiers in Microbiology, Scientific Reports, Materials Science and Engineering B, physica status solidi (a) and Bioinformatics.
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.