Patricia P. Chan
- Molecular Biology top 1%
- Ecology top 1%
- Plant Science top 2%
- Genetics top 5%
- Ecology, Evolution, Behavior and Systematics top 2%
- Co-authors
- Todd M. LoweAllysia J. MakAaron E. CozenAnna CoenenAndrew M. SmithJay B. MartinDoug MarkantTodd M. Gureckis
- Topics
- RNA modifications and cancer (18 papers)Genomics and Phylogenetic Studies (17 papers)RNA and protein synthesis mechanisms (16 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Patricia P. Chan
29 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Molecular Biology 4.5k
- Ecology 1.5k
- Plant Science 1.2k
- Genetics 671
- Ecology, Evolution, Behavior and Systematics 556
Countries citing papers authored by Patricia P. Chan
This map shows the geographic impact of Patricia P. Chan'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 Patricia P. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patricia P. Chan more than expected).
Fields of papers citing papers by Patricia P. Chan
This network shows the impact of papers produced by Patricia P. Chan. 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 Patricia P. Chan. The network helps show where Patricia P. Chan may publish in the future.
Co-authorship network of co-authors of Patricia P. Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Patricia P. Chan. A scholar is included among the top collaborators of Patricia P. Chan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Patricia P. Chan. Patricia P. Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 15 | |
| 5 | 34 | |
| 6 | 77 | |
| 7 | tRNAscan-SE 2.0: improved detection and functional classification of transfer RNA genesbreakdown → | 930 |
| 8 | 1 | |
| 9 | 22 | |
| 10 | tRNAscan-SE On-line: integrating search and context for analysis of transfer RNA genesbreakdown → | 2000 |
| 11 | 136 | |
| 12 | GtRNAdb 2.0: an expanded database of transfer RNA genes identified in complete and draft genomesbreakdown → | 694 |
| 13 | 13 | |
| 14 | 49 | |
| 15 | 7 | |
| 16 | 9 | |
| 17 | 73 | |
| 18 | 48 | |
| 19 | 17 | |
| 20 | GtRNAdb: a database of transfer RNA genes detected in genomic sequencebreakdown → | 686 |
About Patricia P. Chan
Patricia P. Chan is a scholar working on Molecular Biology, Applied Psychology and Endocrinology, having authored 29 papers that have together received 6.1k indexed citations. Recurring topics across this work include RNA modifications and cancer (18 papers), Genomics and Phylogenetic Studies (17 papers) and RNA and protein synthesis mechanisms (16 papers). The work is most often cited by research in Molecular Biology (4.5k citations), Ecology (1.5k citations) and Endocrinology (253 citations). Patricia P. Chan has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Todd M. Lowe, Allysia J. Mak, Aaron E. Cozen, Anna Coenen, Andrew M. Smith, Jay B. Martin, Doug Markant, Todd M. Gureckis, Andrew Holmes and Jessica B. Hamrick. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.
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.