Peter K. Koo
Impact in
- Biophysics top 5%
-
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Nuclear Structure and Function
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- Machine Learning in Bioinformatics
Papers in
-
- Genomics and Chromatin Dynamics 13
- RNA and protein synthesis mechanisms 11
- RNA Research and Splicing 8
- Genomics and Phylogenetic Studies 7
- RNA modifications and cancer 6
- Protein Structure and Dynamics 5
- Gene expression and cancer classification 4
-
- Advanced Fluorescence Microscopy Techniques 5
- Co-authors
- S. G. J. Mochrie (10 shared papers)Megan C. King (2 shared papers)Yao Zhao (2 shared papers)Sarah M. Schreiner (2 shared papers)Sean R. Eddy (1 shared paper)Sergey Ovchinnikov (3 shared papers)Elizabeth Rhoades (3 shared papers)Abhinav Nath (2 shared papers)
- Journals
- Nature Machine Intelligence (3 papers)PLoS Computational Biology (3 papers)Genome biology (3 papers)Nature Genetics (2 papers)Bioinformatics (2 papers)
- Partner nations
- United StatesSpainCanada
In The Last Decade
Peter K. Koo
37 papers receiving 843 citations
Peers
Comparison fields: 5 of 106
- Biophysics 53
- Molecular Biology 619
- Cell Biology 102
- Structural Biology 8
- Ecological Modeling 23
Countries citing papers authored by Peter K. Koo
This map shows the geographic impact of Peter K. Koo'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 Peter K. Koo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter K. Koo more than expected).
Fields of papers citing papers by Peter K. Koo
This network shows the impact of papers produced by Peter K. Koo. 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 Peter K. Koo. The network helps show where Peter K. Koo may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter K. Koo, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 176 | |
| 2 | 2019 | 80 | |
| 3 | 2019 | 53 | |
| 4 | 2010 | 49 | |
| 5 | 2021 | 43 | |
| 6 | 2020 | 41 | |
| 7 | 2020 | 38 | |
| 8 | 2021 | 37 | |
| 9 | 2022 | 36 | |
| 10 | 2016 | 31 | |
| 11 | 2008 | 31 | |
| 12 | 2020 | 29 | |
| 13 | 2015 | 22 | |
| 14 | 2022 | 21 | |
| 15 | 2023 | 19 | |
| 16 | 2023 | 17 | |
| 17 | 2014 | 16 | |
| 18 | 2021 | 15 | |
| 19 | 2023 | 13 | |
| 20 | 2024 | 11 |
About Peter K. Koo
Peter K. Koo is a scholar working on Molecular Biology, Biophysics, Artificial Intelligence, Materials Chemistry and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 852 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (13 papers), RNA and protein synthesis mechanisms (11 papers), RNA Research and Splicing (8 papers), Genomics and Phylogenetic Studies (7 papers), RNA modifications and cancer (6 papers), Advanced Fluorescence Microscopy Techniques (5 papers), Protein Structure and Dynamics (5 papers) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Biophysics (53 citations), Molecular Biology (619 citations), Cell Biology (102 citations), Structural Biology (8 citations) and Ecological Modeling (23 citations). Peter K. Koo has collaborated with scholars based in United States, Spain and Canada. Frequent co-authors include S. G. J. Mochrie, Megan C. King, Yao Zhao, Sarah M. Schreiner, Sean R. Eddy, Sergey Ovchinnikov, Elizabeth Rhoades, Abhinav Nath, Marshal Hedin and William M. Atkins. Their work appears in journals such as Nature Machine Intelligence, PLoS Computational Biology, Genome biology, Nature Genetics 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.