Paul Shinn
- Molecular Biology top 1%
- Genetics top 0.5%
- Plant Science top 1%
- Infectious Diseases top 0.5%
- Virology top 0.5%
- Co-authors
- Joseph R. EckerHuaming ChenFrederic D. BushmanCharles C. BerryChristopher P. AustinRuili HuangMatteo PellegriniShawn Cokus
- Topics
- Computational Drug Discovery Methods (17 papers)SARS-CoV-2 and COVID-19 Research (8 papers)Pharmacogenetics and Drug Metabolism (7 papers)
- Cited by
- VirologyInfectious DiseasesGenetics
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Paul Shinn
68 papers receiving 8.2k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Molecular Biology 4.8k
- Genetics 2.0k
- Plant Science 1.7k
- Infectious Diseases 1.6k
- Virology 1.5k
Countries citing papers authored by Paul Shinn
This map shows the geographic impact of Paul Shinn'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 Paul Shinn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Shinn more than expected).
Fields of papers citing papers by Paul Shinn
This network shows the impact of papers produced by Paul Shinn. 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 Paul Shinn. The network helps show where Paul Shinn may publish in the future.
Co-authorship network of co-authors of Paul Shinn
This figure shows the co-authorship network connecting the top 25 collaborators of Paul Shinn. A scholar is included among the top collaborators of Paul Shinn 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 Paul Shinn. Paul Shinn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 12 | |
| 6 | 6 | |
| 7 | 44 | |
| 8 | 16 | |
| 9 | 152 | |
| 10 | 63 | |
| 11 | 19 | |
| 12 | 41 | |
| 13 | 55 | |
| 14 | 9 | |
| 15 | 68 | |
| 16 | 27 | |
| 17 | 166 | |
| 18 | 25 | |
| 19 | Common Sequence Polymorphisms Shaping Genetic Diversity in Arabidopsis thalianabreakdown → | 526 |
| 20 | HIV-1 Integration in the Human Genome Favors Active Genes and Local Hotspotsbreakdown → | 1365 |
About Paul Shinn
Paul Shinn is a scholar working on Virology, Computational Theory and Mathematics and Infectious Diseases, having authored 69 papers that have together received 8.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (17 papers), SARS-CoV-2 and COVID-19 Research (8 papers) and Pharmacogenetics and Drug Metabolism (7 papers). The work is most often cited by research in Virology (1.5k citations), Infectious Diseases (1.6k citations) and Genetics (2.0k citations). Paul Shinn has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Joseph R. Ecker, Huaming Chen, Frederic D. Bushman, Charles C. Berry, Christopher P. Austin, Ruili Huang, Matteo Pellegrini, Shawn Cokus, Junshi Yazaki and Xiaoyu Zhang. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.