Bruno Bienfait

1.5k total citations
29 papers, 1.1k citations indexed

About

Bruno Bienfait is a scholar working on Computational Theory and Mathematics, Molecular Biology and Spectroscopy. According to data from OpenAlex, Bruno Bienfait has authored 29 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Theory and Mathematics, 10 papers in Molecular Biology and 7 papers in Spectroscopy. Recurrent topics in Bruno Bienfait's work include Computational Drug Discovery Methods (12 papers), Protein Kinase Regulation and GTPase Signaling (8 papers) and Analytical Chemistry and Chromatography (5 papers). Bruno Bienfait is often cited by papers focused on Computational Drug Discovery Methods (12 papers), Protein Kinase Regulation and GTPase Signaling (8 papers) and Analytical Chemistry and Chromatography (5 papers). Bruno Bienfait collaborates with scholars based in United States, Germany and United Kingdom. Bruno Bienfait's co-authors include Peter Ertl, Marc C. Nicklaus, Johannes Voigt, Shaomeng Wang, Johann Gasteiger, Lothar Terfloth, Peter M. Blumberg, Víctor E. Márquez, Nancy E. Lewin and Kassoum Nacro and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Bruno Bienfait

28 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bruno Bienfait United States 15 639 504 122 122 116 29 1.1k
Mario Lobell Germany 19 724 1.1× 390 0.8× 222 1.8× 148 1.2× 76 0.7× 32 1.4k
Maykel Cruz‐Monteagudo Portugal 19 511 0.8× 629 1.2× 152 1.2× 81 0.7× 105 0.9× 50 984
J. Xiao United States 3 1.0k 1.6× 864 1.7× 109 0.9× 123 1.0× 187 1.6× 6 1.5k
Yanli Wang China 17 771 1.2× 526 1.0× 122 1.0× 40 0.3× 229 2.0× 40 1.4k
Juan A. Castillo‐Garit Spain 21 549 0.9× 742 1.5× 291 2.4× 188 1.5× 83 0.7× 66 1.2k
Adam Yasgar United States 25 1.4k 2.2× 540 1.1× 271 2.2× 76 0.6× 179 1.5× 51 2.4k
Markus Wagener Germany 17 716 1.1× 869 1.7× 226 1.9× 300 2.5× 100 0.9× 30 1.3k
Alfonso T. García‐Sosa Estonia 22 675 1.1× 490 1.0× 287 2.4× 94 0.8× 78 0.7× 54 1.2k
Mahendra Awale Switzerland 23 761 1.2× 792 1.6× 304 2.5× 141 1.2× 219 1.9× 39 1.5k

Countries citing papers authored by Bruno Bienfait

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Bienfait

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Bienfait

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

All Works

20 of 20 papers shown
1.
Richard, Ann M., Ryan Lougee, Matthew S. Adams, et al.. (2023). A New CSRML Structure-Based Fingerprint Method for Profiling and Categorizing Per- and Polyfluoroalkyl Substances (PFAS). Chemical Research in Toxicology. 36(3). 508–534. 17 indexed citations
2.
Rathman, James F., Chihae Yang, Aleksandra Mostrąg, et al.. (2020). Development of a Battery of In Silico Prediction Tools for Drug-Induced Liver Injury from the Vantage Point of Translational Safety Assessment. Chemical Research in Toxicology. 34(2). 601–615. 10 indexed citations
3.
Vitcheva, Vessela, Aleksandra Mostrąg, Oliver Sacher, et al.. (2015). In vivo data mining and in silico metabolic profiling to predict diverse hepatotoxic phenotypes: Case study of piperonyl butoxide. Toxicology Letters. 238(2). S173–S173. 1 indexed citations
4.
5.
Bienfait, Bruno & Peter Ertl. (2013). JSME: a free molecule editor in JavaScript. Journal of Cheminformatics. 5(1). 24–24. 220 indexed citations
6.
Coulier, B, et al.. (2012). Extensive propagation of a pancreatic pseudocyst along the lower limb through the sciatic foramen.. SHILAP Revista de lepidopterología. 95(5). 289–289.
7.
Schuster, Daniela, Lisa M. Kern, Lothar Terfloth, et al.. (2009). Applications of Integrated Data Mining Methods to Exploring Natural Product Space for Acetylcholinesterase Inhibitors. Combinatorial Chemistry & High Throughput Screening. 13(1). 54–66. 14 indexed citations
8.
Schwab, Christof H., Bruno Bienfait, & Johann Gasteiger. (2008). THERESA - a new reaction database-driven tool for stepwise retrosynthetic analysis. Chemistry Central Journal. 2(S1). 1 indexed citations
9.
Terfloth, Lothar, Bruno Bienfait, & Johann Gasteiger. (2007). Ligand-Based Models for the Isoform Specificity of Cytochrome P450 3A4, 2D6, and 2C9 Substrates. Journal of Chemical Information and Modeling. 47(4). 1688–1701. 68 indexed citations
10.
Voigt, Johannes, Bruno Bienfait, Shaomeng Wang, & Marc C. Nicklaus. (2001). Comparison of the NCI Open Database with Seven Large Chemical Structural Databases. Journal of Chemical Information and Computer Sciences. 41(3). 702–712. 169 indexed citations
11.
Wang, Qiming J., et al.. (2000). The Lipophilicity of Phorbol Esters as a Critical Factor in Determining the Pattern of Translocation of Protein Kinase C δ Fused to Green Fluorescent Protein. Journal of Biological Chemistry. 275(16). 12136–12146. 71 indexed citations
12.
Nacro, Kassoum, Bruno Bienfait, Nancy E. Lewin, Peter M. Blumberg, & Víctor E. Márquez. (2000). Diacylglycerols with lipophilically equivalent branched acyl chains display high affinity for protein kinase C (PK-C). A direct measure of the effect of constraining the glycerol backbone in DAG lactones. Bioorganic & Medicinal Chemistry Letters. 10(7). 653–655. 8 indexed citations
13.
Tamamura, Hirokazu, Bruno Bienfait, Kassoum Nacro, et al.. (2000). Conformationally Constrained Analogues of Diacylglycerol (DAG). 17. Contrast between sn-1 and sn-2 DAG Lactones in Binding to Protein Kinase C. Journal of Medicinal Chemistry. 43(17). 3210–3217. 20 indexed citations
14.
Márquez, Víctor E., Kassoum Nacro, S. Benzaria, et al.. (1999). The Transition from a Pharmacophore-Guided Approach to a Receptor-Guided Approach in the Design of Potent Protein Kinase C Ligands. Pharmacology & Therapeutics. 82(2-3). 251–261. 1 indexed citations
15.
Caloca, Marı́a J., Laura García‐Bermejo, Peter M. Blumberg, et al.. (1999). β2-Chimaerin is a novel target for diacylglycerol: Binding properties and changes in subcellular localization mediated by ligand binding to its C1 domain. Proceedings of the National Academy of Sciences. 96(21). 11854–11859. 90 indexed citations
16.
Benzaria, S., Bruno Bienfait, Kassoum Nacro, et al.. (1998). Conformationally constrained analogues of diacylglycerol (DAG). 15.1 The indispensable role of the sn-1 and sn-2 carbonyls in the binding of DAG-lactones to protein kinase C (PK-C). Bioorganic & Medicinal Chemistry Letters. 8(23). 3403–3408. 17 indexed citations
17.
Bienfait, Bruno & Johann Gasteiger. (1997). Checking the Projection Display of Multivariate Data with Colored Graphs. Journal of Molecular Graphics and Modelling. 15(4). 203–215. 20 indexed citations
18.
Bienfait, Bruno. (1994). Applications of High-Resolution Self-Organizing Maps to Retrosynthetic and QSAR Analysis. Journal of Chemical Information and Computer Sciences. 34(4). 890–898. 28 indexed citations
19.
Bienfait, Bruno, et al.. (1988). [Carpal tunnel operation: advantages and disadvantages].. PubMed. 33(1). 45–53. 3 indexed citations
20.
Bienfait, Bruno, et al.. (1986). [Operation to open the carpal tunnel. Advantages and disadvantages].. PubMed. 112(2). 170–4. 1 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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