Jean Yang
- Molecular Biology top 0.5%
- Gene expression and cancer classification 44
- Single-cell and spatial transcriptomics 39
- Bioinformatics and Genomic Networks 35
- Metabolomics and Mass Spectrometry Studies 19
- Molecular Biology Techniques and Applications 18
- Cancer Research top 1%
- MicroRNA in disease regulation 14
- Biophysics top 0.5%
- Cell Image Analysis Techniques 17
- Immunology top 1%
- Oncology top 2%
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- Advanced Proteomics Techniques and Applications 18
- Co-authors
- Terence P. SpeedSandrine DudoitPengyi YangMatthew J. CallowGordon K. SmythRichard A. ScolyerAnna CampainDavid J. Erle
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Jean Yang
247 papers receiving 13.4k citations
Hit Papers
Peers
Comparison fields: 5 of 195
- Molecular Biology 8.2k
- Cancer Research 1.6k
- Biophysics 586
- Immunology 1.6k
- Oncology 1.4k
Countries citing papers authored by Jean Yang
This map shows the geographic impact of Jean 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 Jean Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jean Yang more than expected).
Fields of papers citing papers by Jean Yang
This network shows the impact of papers produced by Jean 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 Jean Yang. The network helps show where Jean Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jean 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 | 2024 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 33 | |
| 5 | 2023 | 12 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 8 | |
| 8 | 2021 | 6 | |
| 9 | 2021 | 11 | |
| 10 | 2020 | 62 | |
| 11 | 2020 | 193 | |
| 12 | 2019 | 110 | |
| 13 | 2018 | 1 | |
| 14 | 2018 | 271 | |
| 15 | 2018 | 5 | |
| 16 | 2017 | 63 | |
| 17 | 2017 | 1 | |
| 18 | 2016 | 92 | |
| 19 | Genome-wide profiling identifies epithelial cell genes associated with asthma and with treatment response to corticosteroidsbreakdown → | 2007 | 626 |
| 20 | 2001 | 353 |
About Jean Yang
Jean Yang is a scholar working on Transplantation, Biophysics and Cancer Research, having authored 257 papers that have together received 13.8k indexed citations. Recurring topics across this work include Gene expression and cancer classification (44 papers), Single-cell and spatial transcriptomics (39 papers), Bioinformatics and Genomic Networks (35 papers), Metabolomics and Mass Spectrometry Studies (19 papers), Advanced Proteomics Techniques and Applications (18 papers), Molecular Biology Techniques and Applications (18 papers), Cell Image Analysis Techniques (17 papers) and MicroRNA in disease regulation (14 papers). The work is most often cited by research in Molecular Biology (8.2k citations), Cancer Research (1.6k citations) and Biophysics (586 citations). Jean Yang has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Terence P. Speed, Sandrine Dudoit, Pengyi Yang, Matthew J. Callow, Gordon K. Smyth, Richard A. Scolyer, Anna Campain, David J. Erle, Yue Cao and Bing Bing Zhou. Their work appears in journals such as Bioinformatics, BMC Genomics, Nature Communications, Briefings in Bioinformatics and BMC 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.