Jesse Paquette

1.0k total citations
13 papers, 719 citations indexed

About

Jesse Paquette is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Jesse Paquette has authored 13 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Genetics. Recurrent topics in Jesse Paquette's work include Bioinformatics and Genomic Networks (4 papers), Biomedical Text Mining and Ontologies (2 papers) and Glioma Diagnosis and Treatment (2 papers). Jesse Paquette is often cited by papers focused on Bioinformatics and Genomic Networks (4 papers), Biomedical Text Mining and Ontologies (2 papers) and Glioma Diagnosis and Treatment (2 papers). Jesse Paquette collaborates with scholars based in United States, Germany and Switzerland. Jesse Paquette's co-authors include Taku A. Tokuyasu, Maxwell W. Tom, Yulong Hu, W. Shawn Carbonell, Sean Tsao, Arman Jahangiri, Manish K. Aghi, Pek Yee Lum, Adam R. Ferguson and Gunnar E. Carlsson and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Jesse Paquette

13 papers receiving 697 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jesse Paquette United States 11 350 147 126 111 71 13 719
Charles E. Chapple France 10 859 2.5× 140 1.0× 102 0.8× 117 1.1× 51 0.7× 11 1.6k
Jason Walker United States 12 469 1.3× 146 1.0× 107 0.8× 168 1.5× 59 0.8× 21 936
Guilherme Viteri United Kingdom 6 646 1.8× 161 1.1× 45 0.4× 119 1.1× 31 0.4× 7 1.1k
Johann M. Kraus Germany 21 734 2.1× 173 1.2× 61 0.5× 278 2.5× 24 0.3× 55 1.5k
Manjunath Kustagi United States 9 659 1.9× 137 0.9× 40 0.3× 120 1.1× 23 0.3× 11 1.1k
Mahdi Jalili Iran 14 380 1.1× 78 0.5× 57 0.5× 51 0.5× 76 1.1× 60 783
Nicholas C. Spies United States 9 618 1.8× 222 1.5× 41 0.3× 152 1.4× 23 0.3× 30 1.1k
Rainer König Germany 16 450 1.3× 80 0.5× 73 0.6× 71 0.6× 38 0.5× 36 992
Jihye Park United States 19 933 2.7× 325 2.2× 64 0.5× 358 3.2× 39 0.5× 60 1.6k
Shiva Krupa United States 3 986 2.8× 220 1.5× 35 0.3× 147 1.3× 90 1.3× 4 1.2k

Countries citing papers authored by Jesse Paquette

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

13 of 13 papers shown
1.
Nielson, Jessica L., Shelly R. Cooper, John K. Yue, et al.. (2017). Uncovering precision phenotype-biomarker associations in traumatic brain injury using topological data analysis. PLoS ONE. 12(3). e0169490–e0169490. 66 indexed citations
2.
Nielson, Jessica L., Jesse Paquette, Cristian F. Guandique, et al.. (2015). Topological data analysis for discovery in preclinical spinal cord injury and traumatic brain injury. Nature Communications. 6(1). 8581–8581. 137 indexed citations
3.
Jahangiri, Arman, Michael De Lay, Liane M. Miller, et al.. (2013). Gene Expression Profile Identifies Tyrosine Kinase c-Met as a Targetable Mediator of Antiangiogenic Therapy Resistance. Clinical Cancer Research. 19(7). 1773–1783. 161 indexed citations
4.
Paquette, Jesse, et al.. (2013). High mobility group box 1 promotes tumor cell migration through epigenetic silencing of semaphorin 3A. Oncogene. 33(44). 5151–5162. 20 indexed citations
5.
Gysin, Stephan, Jesse Paquette, & Martin McMahon. (2012). Analysis of mRNA Profiles after MEK1/2 Inhibition in Human Pancreatic Cancer Cell Lines Reveals Pathways Involved in Drug Sensitivity. Molecular Cancer Research. 10(12). 1607–1619. 17 indexed citations
6.
DeLay, Michael, Arman Jahangiri, W. Shawn Carbonell, et al.. (2012). Microarray Analysis Verifies Two Distinct Phenotypes of Glioblastomas Resistant to Antiangiogenic Therapy. Clinical Cancer Research. 18(10). 2930–2942. 95 indexed citations
7.
Bartlett, Christopher W., Soo Yeon Cheong, Liping Hou, et al.. (2012). An eQTL biological data visualization challenge and approaches from the visualization community. BMC Bioinformatics. 13(S8). S8–S8. 14 indexed citations
8.
Bhattacharya, Aditi, Ritu Roy, Antoine M. Snijders, et al.. (2011). Two Distinct Routes to Oral Cancer Differing in Genome Instability and Risk for Cervical Node Metastasis. Clinical Cancer Research. 17(22). 7024–7034. 55 indexed citations
9.
Paquette, Jesse & Taku A. Tokuyasu. (2011). Hypergraph visualization and enrichment statistics: how the EGAN paradigm facilitates organic discovery from big data. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7865. 78650E–78650E. 4 indexed citations
10.
Paquette, Jesse & Taku A. Tokuyasu. (2009). EGAN: exploratory gene association networks. Bioinformatics. 26(2). 285–286. 53 indexed citations
11.
Baumgartner, William A., Zhiyong Lu, H. L. Johnson, et al.. (2008). Concept recognition for extracting protein interaction relations from biomedical text. Genome biology. 9(S2). S9–S9. 39 indexed citations
12.
Caporaso, J. Gregory, William A. Baumgartner, Kevin Bretonnel Cohen, et al.. (2005). Concept recognition and the TREC genomics tasks. Text REtrieval Conference. 8 indexed citations
13.
Brunner, Nina, Bernd Wieland, Jesse Paquette, et al.. (2004). Identification of Antibiotic Stress-Inducible Promoters: A Systematic Approach to Novel Pathway-Specific Reporter Assays for Antibacterial Drug Discovery. Genome Research. 14(1). 90–98. 50 indexed citations

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.

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