Djamal Bouzida

8.9k total citations · 2 hit papers
24 papers, 7.1k citations indexed

About

Djamal Bouzida is a scholar working on Molecular Biology, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Djamal Bouzida has authored 24 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 13 papers in Materials Chemistry and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Djamal Bouzida's work include Protein Structure and Dynamics (17 papers), Enzyme Structure and Function (12 papers) and Computational Drug Discovery Methods (5 papers). Djamal Bouzida is often cited by papers focused on Protein Structure and Dynamics (17 papers), Enzyme Structure and Function (12 papers) and Computational Drug Discovery Methods (5 papers). Djamal Bouzida collaborates with scholars based in United States, France and Morocco. Djamal Bouzida's co-authors include Robert H. Swendsen, S. Madan Kumar, Peter A. Kollman, John M. Rosenberg, Daniel K. Gehlhaar, Paul A. Rejto, Gennady M. Verkhivker, Peter W. Rose, Stephan T. Freer and Veda Larson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemistry and Journal of Medicinal Chemistry.

In The Last Decade

Djamal Bouzida

24 papers receiving 7.0k citations

Hit Papers

2 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

THE weighted histogram analysis method for free‐energy calculations on biomolecules. I. The method

1992 5.6k citations S. Madan Kumar, John M. Rosenberg et al. Journal of Computational Chemistry profile →
Multidimensional free‐energy calculations using the weighted histogram analysis method

1995 712 citations S. Madan Kumar, John M. Rosenberg et al. Journal of Computational Chemistry profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Djamal Bouzida United States	13	4.8k	1.8k	1.5k	750	700	24	7.1k
Rudi van Drunen Netherlands	4	4.5k 0.9×	1.7k 0.9×	1.3k 0.8×	918 1.2×	659 0.9×	5	8.4k
H. J. C. Berendsen Netherlands	34	4.2k 0.9×	1.7k 1.0×	1.6k 1.0×	894 1.2×	895 1.3×	62	7.0k
Shuichi Miyamoto Japan	21	4.6k 1.0×	1.2k 0.7×	1.2k 0.8×	839 1.1×	667 1.0×	90	7.7k
Jed W. Pitera United States	30	3.3k 0.7×	2.2k 1.3×	1.6k 1.0×	767 1.0×	823 1.2×	68	6.1k
Sander Pronk United States	13	3.7k 0.8×	1.5k 0.9×	936 0.6×	821 1.1×	469 0.7×	16	6.9k
John M. Rosenberg United States	30	8.3k 1.7×	2.1k 1.2×	1.7k 1.1×	852 1.1×	922 1.3×	74	11.2k
Elizabeth Hatcher United States	17	4.6k 1.0×	1.3k 0.8×	1.1k 0.7×	878 1.2×	609 0.9×	20	8.0k
Mats H. M. Olsson Sweden	31	5.8k 1.2×	1.6k 0.9×	978 0.6×	425 0.6×	538 0.8×	43	8.9k
Michael L. Connolly United States	23	4.4k 0.9×	2.1k 1.2×	737 0.5×	566 0.8×	776 1.1×	35	7.7k
George A. Kaminski United States	19	3.1k 0.7×	1.2k 0.7×	1.7k 1.1×	420 0.6×	687 1.0×	34	5.7k

Countries citing papers authored by Djamal Bouzida

Since Specialization

Citations

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

Fields of papers citing papers by Djamal Bouzida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Djamal Bouzida

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

All Works

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20 of 20 papers shown

Palmer, Cynthia L., Mason Pairish, Susan E. Kephart, et al.. (2012). Structural modifications of a 3-methoxy-2-aminopyridine compound to reduce potential for mutagenicity and time-dependent drug–drug interaction. Bioorganic & Medicinal Chemistry Letters. 22(24). 7605–7609. 3 indexed citations

Li, Hui, Seiji Nukui, Jihong Lou, et al.. (2010). Identification of novel pyrrolopyrazoles as protein kinase C β II inhibitors. Bioorganic & Medicinal Chemistry Letters. 21(1). 584–587. 11 indexed citations

Grodsky, Neil B., Ying Li, Djamal Bouzida, et al.. (2006). Structure of the Catalytic Domain of Human Protein Kinase C β II Complexed with a Bisindolylmaleimide Inhibitor. Biochemistry. 45(47). 13970–13981. 95 indexed citations

Verkhivker, Gennady M., Djamal Bouzida, Daniel K. Gehlhaar, et al.. (2003). Simulating disorder–order transitions in molecular recognition of unstructured proteins: Where folding meets binding. Proceedings of the National Academy of Sciences. 100(9). 5148–5153. 81 indexed citations

Verkhivker, Gennady M., Djamal Bouzida, Daniel K. Gehlhaar, et al.. (2003). Computational detection of the binding‐site hot spot at the remodeled human growth hormone–receptor interface. Proteins Structure Function and Bioinformatics. 53(2). 201–219. 22 indexed citations

Verkhivker, Gennady M., Djamal Bouzida, Daniel K. Gehlhaar, et al.. (2002). Monte Carlo simulations of the peptide recognition at the consensus binding site of the constant fragment of human immunoglobulin G: The energy landscape analysis of a hot spot at the intermolecular interface. Proteins Structure Function and Bioinformatics. 48(3). 539–557. 25 indexed citations

Verkhivker, Gennady M., Djamal Bouzida, Daniel K. Gehlhaar, et al.. (2002). Complexity and simplicity of ligand–macromolecule interactions: the energy landscape perspective. Current Opinion in Structural Biology. 12(2). 197–203. 80 indexed citations

Bouzida, Djamal, S. Madan Kumar, & Robert H. Swendsen. (2002). A simulated annealing approach for probing biomolecular structures. 736–742. 3 indexed citations

Kissinger, Charles R., Daniel K. Gehlhaar, Bradley A. Smith, & Djamal Bouzida. (2001). Molecular replacement by evolutionary search. Acta Crystallographica Section D Biological Crystallography. 57(10). 1474–1479. 49 indexed citations

10.

Verkhivker, Gennady M., Djamal Bouzida, Daniel K. Gehlhaar, et al.. (2001). Hierarchy of simulation models in predicting molecular recognition mechanisms from the binding energy landscapes: Structural analysis of the peptide complexes with SH2 domains. Proteins Structure Function and Bioinformatics. 45(4). 456–470. 7 indexed citations

11.

Verkhivker, Gennady M., Paul A. Rejto, Djamal Bouzida, et al.. (2001). Parallel simulated tempering dynamics of ligand–protein binding with ensembles of protein conformations. Chemical Physics Letters. 337(1-3). 181–189. 17 indexed citations

12.

Verkhivker, Gennady M., Paul A. Rejto, Djamal Bouzida, et al.. (2001). Navigating ligand–protein binding free energy landscapes: universality and diversity of protein folding and molecular recognition mechanisms. Chemical Physics Letters. 336(5-6). 495–503. 9 indexed citations

13.

Verkhivker, Gennady M., Djamal Bouzida, Daniel K. Gehlhaar, et al.. (2000). Deciphering common failures in molecular docking of ligand-protein complexes. Journal of Computer-Aided Molecular Design. 14(8). 731–751. 186 indexed citations

14.

Verkhivker, Gennady M., Paul A. Rejto, Djamal Bouzida, et al.. (1999). Towards understanding the mechanisms of molecular recognition by computer simulations of ligand-protein interactions. Journal of Molecular Recognition. 12(6). 371–389. 31 indexed citations

15.

Bouzida, Djamal, Paul A. Rejto, & Gennady M. Verkhivker. (1999). Monte Carlo study of ligand-protein binding energy landscapes with the weighted histogram analysis method. International Journal of Quantum Chemistry. 73(2). 113–121. 12 indexed citations

16.

Kumar, S. Madan, John M. Rosenberg, Djamal Bouzida, Robert H. Swendsen, & Peter A. Kollman. (1995). Multidimensional free‐energy calculations using the weighted histogram analysis method. Journal of Computational Chemistry. 16(11). 1339–1350. 712 indexed citations breakdown →

17.

Bouzida, Djamal, Jean Garnier, Richard C. Brower, James Cornette, & Charles DeLisi. (1994). Monte Carlo study of the effect of β₂‐microglobulin on the binding cleft of the HLA‐A2 complex. Protein Science. 3(6). 911–919. 1 indexed citations

18.

Kister, Alexander, Ilya Muchnik, Djamal Bouzida, Ellis L. Reinherz, & Temple F. Smith. (1993). Efficient pattern comparative method for selecting functionally important motifs in protein sequences: Application to zinc enzymes. Biosystems. 30(1-3). 233–240. 1 indexed citations

19.

Kumar, S. Madan, John M. Rosenberg, Djamal Bouzida, Robert H. Swendsen, & Peter A. Kollman. (1992). THE weighted histogram analysis method for free‐energy calculations on biomolecules. I. The method. Journal of Computational Chemistry. 13(8). 1011–1021. 5569 indexed citations breakdown →

20.

Bouzida, Djamal, S. Madan Kumar, & Robert H. Swendsen. (1992). Efficient Monte Carlo methods for the computer simulation of biological molecules. Physical Review A. 45(12). 8894–8901. 86 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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