Karren Yang
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in
-
- Single-cell and spatial transcriptomics 3
-
- Speech Recognition and Synthesis 3
- Natural Language Processing Techniques 2
- Co-authors
- Michael A. Lampson (3 shared papers)Lukáš Chmátal (3 shared papers)Richard M. Schultz (3 shared papers)Takashi Akera (2 shared papers)Caroline Uhler (7 shared papers)G. V. Shivashankar (3 shared papers)Adityanarayanan Radhakrishnan (3 shared papers)Anastasiya Belyaeva (2 shared papers)
- Journals
- Current Biology (2 papers)Nature Communications (2 papers)PLoS Computational Biology (1 paper)Science (1 paper)Transactions of the Association for Computational Linguistics (1 paper)
- Partner nations
- United StatesSwitzerlandSingapore
In The Last Decade
Karren Yang
18 papers receiving 611 citations
Peers
Comparison fields: 5 of 82
- Biophysics 64
- Cell Biology 153
- Plant Science 230
- Molecular Biology 396
- Genetics 103
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
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 157 | |
| 2 | 2017 | 127 | |
| 3 | 2021 | 92 | |
| 4 | 2015 | 81 | |
| 5 | 2021 | 37 | |
| 6 | 2020 | 29 | |
| 7 | 2015 | 26 | |
| 8 | 2022 | 21 | |
| 9 | 2021 | 11 | |
| 10 | 2024 | 7 | |
| 11 | Permutation-based Causal Inference Algorithms with Interventions | 2017 | 6 |
| 12 | 2018 | 6 | |
| 13 | Characterizing and Learning Equivalence Classes of Causal DAGs under Interventions | 2018 | 3 |
| 14 | 2024 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2015 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2024 | 0 |
About Karren Yang
Karren Yang is a scholar working on Molecular Biology, Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing and Cell Biology, having authored 19 papers that have together received 614 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Cell Image Analysis Techniques (3 papers), Chromosomal and Genetic Variations (3 papers), Microtubule and mitosis dynamics (3 papers), Speech Recognition and Synthesis (3 papers), Natural Language Processing Techniques (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers) and Advanced Causal Inference Techniques (2 papers). The work is most often cited by research in Biophysics (64 citations), Cell Biology (153 citations), Plant Science (230 citations), Molecular Biology (396 citations) and Genetics (103 citations). Karren Yang has collaborated with scholars based in United States, Switzerland and Singapore. Frequent co-authors include Michael A. Lampson, Lukáš Chmátal, Richard M. Schultz, Takashi Akera, Caroline Uhler, G. V. Shivashankar, Adityanarayanan Radhakrishnan, Anastasiya Belyaeva, Carsten Janke and Chanat Aonbangkhen. Their work appears in journals such as Current Biology, Nature Communications, PLoS Computational Biology, Science and Transactions of the Association for Computational Linguistics.
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.