Karren Yang
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in
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- Music and Audio Processing 3
- Speech and Audio Processing 3
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- Cell Image Analysis Techniques 3
- Co-authors
- Lukáš Chmátal (3 shared papers)Richard M. Schultz (3 shared papers)Michael A. Lampson (3 shared papers)Takashi Akera (2 shared papers)Caroline Uhler (6 shared papers)G. V. Shivashankar (3 shared papers)Justin Salamon (1 shared paper)Bryan Russell (1 shared paper)
- Journals
- Nature Communications (2 papers)Current Biology (2 papers)Transactions of the Association for Computational Linguistics (1 paper)Oncotarget (1 paper)Science (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Karren Yang
21 papers receiving 743 citations
Peers
Comparison fields: 5 of 87
- Biophysics 62
- Cell Biology 156
- Signal Processing 82
- Plant Science 234
- Molecular Biology 412
Countries citing papers authored by Karren Yang
This map shows the geographic impact of Karren 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 Karren Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Karren Yang more than expected).
Fields of papers citing papers by Karren Yang
This network shows the impact of papers produced by Karren 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 Karren Yang. The network helps show where Karren Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Karren 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
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 162 | |
| 2 | 2017 | 130 | |
| 3 | 2021 | 101 | |
| 4 | 2015 | 84 | |
| 5 | 2020 | 62 | |
| 6 | 2021 | 46 | |
| 7 | 2020 | 32 | |
| 8 | 2015 | 27 | |
| 9 | 2022 | 24 | |
| 10 | 2021 | 21 | |
| 11 | 2021 | 13 | |
| 12 | 2024 | 10 | |
| 13 | Permutation-based Causal Inference Algorithms with Interventions | 2017 | 8 |
| 14 | 2024 | 8 | |
| 15 | 2022 | 5 | |
| 16 | 2023 | 4 | |
| 17 | 2024 | 4 | |
| 18 | Characterizing and Learning Equivalence Classes of Causal DAGs under Interventions | 2018 | 4 |
| 19 | 2024 | 4 | |
| 20 | 2015 | 2 |
About Karren Yang
Karren Yang is a scholar working on Signal Processing, Biophysics, Artificial Intelligence, Cell Biology and Statistics and Probability, having authored 21 papers that have together received 753 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (3 papers), Music and Audio Processing (3 papers), Single-cell and spatial transcriptomics (3 papers), Cell Image Analysis Techniques (3 papers), Chromosomal and Genetic Variations (3 papers), Speech and Audio Processing (3 papers), Speech Recognition and Synthesis (3 papers) and Advanced Causal Inference Techniques (2 papers). The work is most often cited by research in Biophysics (62 citations), Cell Biology (156 citations), Signal Processing (82 citations), Plant Science (234 citations) and Molecular Biology (412 citations). Karren Yang has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Lukáš Chmátal, Richard M. Schultz, Michael A. Lampson, Takashi Akera, Caroline Uhler, G. V. Shivashankar, Justin Salamon, Bryan Russell, Anastasiya Belyaeva and Adityanarayanan Radhakrishnan. Their work appears in journals such as Nature Communications, Current Biology, Transactions of the Association for Computational Linguistics, Oncotarget and Science.
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.