Francis Bourbonais

707 total citations
7 papers, 305 citations indexed

About

Francis Bourbonais is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Francis Bourbonais has authored 7 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Francis Bourbonais's work include Pancreatic function and diabetes (3 papers), Stress Responses and Cortisol (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Francis Bourbonais is often cited by papers focused on Pancreatic function and diabetes (3 papers), Stress Responses and Cortisol (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). Francis Bourbonais collaborates with scholars based in United States and Poland. Francis Bourbonais's co-authors include Alan R. Saltiel, Matthew Brady, Audrey F. Seasholtz, Sally A. Camper, Kevin J. Filipski, Jeffrey A. Pfefferkorn, Raman Sharma, Syed Ahsanuddin Ahmed, David A. Beebe and Martha L. Minich and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical Journal and Drug Metabolism and Disposition.

In The Last Decade

Francis Bourbonais

7 papers receiving 302 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Francis Bourbonais United States 7 142 75 53 46 45 7 305
Lautaro D. Álvarez Argentina 12 234 1.6× 108 1.4× 44 0.8× 34 0.7× 84 1.9× 32 512
Niall M. Hamilton United Kingdom 13 240 1.7× 143 1.9× 18 0.3× 17 0.4× 21 0.5× 30 467
Takung Chen United States 11 95 0.7× 125 1.7× 15 0.3× 46 1.0× 45 1.0× 14 504
Ryan P. Trump United States 10 142 1.0× 91 1.2× 28 0.5× 18 0.4× 133 3.0× 11 375
Elisabeth Greiner United States 14 209 1.5× 91 1.2× 15 0.3× 22 0.5× 11 0.2× 22 518
David P. Blakeman United States 15 342 2.4× 56 0.7× 139 2.6× 14 0.3× 33 0.7× 24 559
Bruce M. Bechle United States 8 128 0.9× 142 1.9× 21 0.4× 15 0.3× 23 0.5× 14 257
M. J. Andrews United Kingdom 7 109 0.8× 53 0.7× 15 0.3× 5 0.1× 20 0.4× 9 446
Horst Dollinger Germany 7 207 1.5× 72 1.0× 25 0.5× 6 0.1× 8 0.2× 12 382
Takako Okumura Japan 10 46 0.3× 107 1.4× 17 0.3× 6 0.1× 20 0.4× 14 324

Countries citing papers authored by Francis Bourbonais

Since Specialization
Citations

This map shows the geographic impact of Francis Bourbonais'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 Francis Bourbonais with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francis Bourbonais more than expected).

Fields of papers citing papers by Francis Bourbonais

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francis Bourbonais. 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 Francis Bourbonais. The network helps show where Francis Bourbonais may publish in the future.

Co-authorship network of co-authors of Francis Bourbonais

This figure shows the co-authorship network connecting the top 25 collaborators of Francis Bourbonais. A scholar is included among the top collaborators of Francis Bourbonais 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 Francis Bourbonais. Francis Bourbonais is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Vildhede, Anna, Chuong Nguyen, Brian K. Erickson, et al.. (2018). Comparison of Proteomic Quantification Approaches for Hepatic Drug Transporters: Multiplexed Global Quantitation Correlates with Targeted Proteomic Quantitation. Drug Metabolism and Disposition. 46(5). 692–696. 26 indexed citations
2.
Powell, Noel A., Jeffrey T. Kohrt, Kevin J. Filipski, et al.. (2011). Novel and selective spiroindoline-based inhibitors of sky kinase. Bioorganic & Medicinal Chemistry Letters. 22(1). 190–193. 44 indexed citations
3.
Bourbonais, Francis, et al.. (2011). Modulation of glucokinase by glucose, small-molecule activator and glucokinase regulatory protein: steady-state kinetic and cell-based analysis. Biochemical Journal. 441(3). 881–887. 9 indexed citations
4.
Pfefferkorn, Jeffrey A., Jihong Lou, Martha L. Minich, et al.. (2009). Pyridones as glucokinase activators: Identification of a unique metabolic liability of the 4-sulfonyl-2-pyridone heterocycle. Bioorganic & Medicinal Chemistry Letters. 19(12). 3247–3252. 66 indexed citations
5.
Brady, Matthew, Francis Bourbonais, & Alan R. Saltiel. (1998). The Activation of Glycogen Synthase by Insulin Switches from Kinase Inhibition to Phosphatase Activation during Adipogenesis in 3T3-L1 Cells. Journal of Biological Chemistry. 273(23). 14063–14066. 99 indexed citations
6.
Keegan, Catherine E., I Károlyi, Lauren T. Knapp, et al.. (1994). Expression of Corticotropin-Releasing Hormone Transgenes in Neurons of Adult and Developing Mice. Molecular and Cellular Neuroscience. 5(6). 505–514. 18 indexed citations
7.
Seasholtz, Audrey F., et al.. (1991). Nucleotide sequence and expression of the mouse corticotropin-releasing hormone gene. Molecular and Cellular Neuroscience. 2(3). 266–273. 43 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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