Jesse Paquette
- Co-authors
- Taku A. TokuyasuYulong HuManish K. AghiW. Shawn CarbonellArman JahangiriSean TsaoMaxwell W. TomPek Yee Lum
- Topics
- Bioinformatics and Genomic Networks (4 papers)Biomedical Text Mining and Ontologies (2 papers)Glioma Diagnosis and Treatment (2 papers)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Jesse Paquette
13 papers receiving 697 citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 350
- Cancer Research 147
- Genetics 126
- Oncology 111
- Neurology 71
Countries citing papers authored by Jesse Paquette
This map shows the geographic impact of Jesse Paquette'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 Jesse Paquette with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesse Paquette more than expected).
Fields of papers citing papers by Jesse Paquette
This network shows the impact of papers produced by Jesse Paquette. 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 Jesse Paquette. The network helps show where Jesse Paquette may publish in the future.
Co-authorship network of co-authors of Jesse Paquette
This figure shows the co-authorship network connecting the top 25 collaborators of Jesse Paquette. A scholar is included among the top collaborators of Jesse Paquette 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 Jesse Paquette. Jesse Paquette is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 66 | |
| 2 | 137 | |
| 3 | 161 | |
| 4 | 20 | |
| 5 | 95 | |
| 6 | 17 | |
| 7 | 14 | |
| 8 | 55 | |
| 9 | 4 | |
| 10 | 53 | |
| 11 | 39 | |
| 12 | Concept recognition and the TREC genomics tasks | 8 |
| 13 | 50 |
About Jesse Paquette
Jesse Paquette is a scholar working on Genetics, Biophysics and Microbiology, having authored 13 papers that have together received 719 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Biomedical Text Mining and Ontologies (2 papers) and Glioma Diagnosis and Treatment (2 papers). The work is most often cited by research in Genetics (126 citations), Cancer Research (147 citations) and Health Informatics (8 citations). Jesse Paquette has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Taku A. Tokuyasu, Yulong Hu, Manish K. Aghi, W. Shawn Carbonell, Arman Jahangiri, Sean Tsao, Maxwell W. Tom, Pek Yee Lum, Gunnar E. Carlsson and Tanya C. Petrossian. Their work appears in journals such as Nature Communications, Bioinformatics and PLoS ONE.
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.