Peter K. Koo
Impact in
- Biophysics top 5%
-
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Nuclear Structure and Function
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Gene expression and cancer classification
- Lipid Membrane Structure and Behavior
Papers in
-
- Genomics and Chromatin Dynamics 12
- RNA Research and Splicing 8
- RNA and protein synthesis mechanisms 8
- RNA modifications and cancer 6
- Genomics and Phylogenetic Studies 5
- Gene expression and cancer classification 4
- Protein Structure and Dynamics 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)Antonio Majdandzic (6 shared papers)Elizabeth Rhoades (3 shared papers)
- Journals
- Genome biology (3 papers)Nature Machine Intelligence (3 papers)PLoS Computational Biology (3 papers)Nature Communications (2 papers)Nucleic Acids Research (2 papers)
- Partner nations
- United StatesUnited KingdomRomania
In The Last Decade
Peter K. Koo
38 papers receiving 894 citations
Peers
Comparison fields: 5 of 103
- Biophysics 55
- Molecular Biology 602
- Cell Biology 103
- Structural Biology 8
- Health Informatics 7
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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 181 | |
| 2 | 2019 | 82 | |
| 3 | 2019 | 54 | |
| 4 | 2010 | 49 | |
| 5 | 2021 | 45 | |
| 6 | 2020 | 43 | |
| 7 | 2020 | 42 | |
| 8 | 2021 | 41 | |
| 9 | 2022 | 38 | |
| 10 | 2008 | 32 | |
| 11 | 2016 | 32 | |
| 12 | 2020 | 31 | |
| 13 | 2022 | 22 | |
| 14 | 2015 | 22 | |
| 15 | 2023 | 19 | |
| 16 | 2023 | 19 | |
| 17 | 2023 | 17 | |
| 18 | 2014 | 16 | |
| 19 | 2021 | 15 | |
| 20 | 2024 | 13 |
About Peter K. Koo
Peter K. Koo is a scholar working on Molecular Biology, Biophysics, Artificial Intelligence, Materials Chemistry and Immunology, having authored 41 papers that have together received 902 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (12 papers), RNA Research and Splicing (8 papers), RNA and protein synthesis mechanisms (8 papers), RNA modifications and cancer (6 papers), Advanced Fluorescence Microscopy Techniques (5 papers), Genomics and Phylogenetic Studies (5 papers), Gene expression and cancer classification (4 papers) and Protein Structure and Dynamics (4 papers). The work is most often cited by research in Biophysics (55 citations), Molecular Biology (602 citations), Cell Biology (103 citations), Structural Biology (8 citations) and Health Informatics (7 citations). Peter K. Koo has collaborated with scholars based in United States, United Kingdom and Romania. Frequent co-authors include S. G. J. Mochrie, Megan C. King, Yao Zhao, Sarah M. Schreiner, Sean R. Eddy, Sergey Ovchinnikov, Antonio Majdandzic, Elizabeth Rhoades, Marshal Hedin and Abhinav Nath. Their work appears in journals such as Genome biology, Nature Machine Intelligence, PLoS Computational Biology, Nature Communications and Nucleic Acids Research.
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.