Jacques Haiech

11.2k total citations
178 papers, 5.9k citations indexed

About

Jacques Haiech is a scholar working on Molecular Biology, Materials Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jacques Haiech has authored 178 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 122 papers in Molecular Biology, 18 papers in Materials Chemistry and 17 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jacques Haiech's work include Protein Structure and Dynamics (23 papers), Enzyme Structure and Function (17 papers) and Gene Regulatory Network Analysis (17 papers). Jacques Haiech is often cited by papers focused on Protein Structure and Dynamics (23 papers), Enzyme Structure and Function (17 papers) and Gene Regulatory Network Analysis (17 papers). Jacques Haiech collaborates with scholars based in France, United States and Russia. Jacques Haiech's co-authors include Jacques Demaille, Marie‐Claude Kilhoffer, Jean Derancourt, Christian J. Le Peuch, D. Martin Watterson, Claude B. Klee, Maria Zeniou, Jihu Dong, Wanyin Chen and Jean-François Péchère and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Jacques Haiech

173 papers receiving 5.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacques Haiech France 41 3.9k 728 690 676 559 178 5.9k
Thomas Vanaman United States 36 5.0k 1.3× 1.1k 1.5× 797 1.2× 910 1.3× 314 0.6× 91 6.9k
Donald Blumenthal United States 35 3.6k 0.9× 777 1.1× 417 0.6× 630 0.9× 276 0.5× 88 5.0k
ChulHee Kang United States 44 6.0k 1.5× 545 0.7× 549 0.8× 995 1.5× 257 0.5× 126 7.8k
Jesper V. Møller Denmark 50 6.9k 1.8× 953 1.3× 537 0.8× 474 0.7× 820 1.5× 150 8.8k
Marc le Maire France 47 5.1k 1.3× 541 0.7× 450 0.7× 345 0.5× 422 0.8× 143 6.6k
David Puett United States 42 3.5k 0.9× 546 0.8× 692 1.0× 366 0.5× 309 0.6× 253 6.5k
Jacques Demaille France 49 4.8k 1.2× 774 1.1× 758 1.1× 380 0.6× 236 0.4× 175 7.4k
Robert Robinson Singapore 41 3.5k 0.9× 1.9k 2.6× 432 0.6× 449 0.7× 442 0.8× 235 6.7k
Juan Llopis Spain 29 5.3k 1.4× 1.2k 1.6× 1.5k 2.2× 427 0.6× 333 0.6× 69 7.9k
Vladimı́r Saudek Czechia 39 6.0k 1.5× 818 1.1× 515 0.7× 932 1.4× 469 0.8× 96 8.4k

Countries citing papers authored by Jacques Haiech

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Haiech

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacques Haiech

This figure shows the co-authorship network connecting the top 25 collaborators of Jacques Haiech. A scholar is included among the top collaborators of Jacques Haiech 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 Jacques Haiech. Jacques Haiech 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
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Chneiweiss, Hervé, Anne Dubart‐Kupperschmitt, Jean‐Charles Duclos‐Vallée, et al.. (2023). Pour une bonne compréhension et un bon usage du terme « organoïdes ». médecine/sciences. 39(11). 876–878. 1 indexed citations
3.
Haiech, Jacques, et al.. (2022). Risk assessment for long- and short-range airborne transmission of SARS-CoV-2, indoors and outdoors. PNAS Nexus. 1(5). pgac223–pgac223. 18 indexed citations
4.
Haiech, Jacques, Christian Hervé, & Claude Forest. (2020). Le mythe du « bon chercheur » et du « mauvais chercheur ». Ethics Medicine and Public Health. 15. 100413–100413.
5.
Madec, Morgan, et al.. (2018). Environment for Modeling and Simulation of Biosystems, Biosensors, and Lab-on-Chips. IEEE Transactions on Electron Devices. 66(1). 34–43. 2 indexed citations
6.
Madec, Morgan, Christophe Lallement, & Jacques Haiech. (2017). Modeling and simulation of biological systems using SPICE language. PLoS ONE. 12(8). e0182385–e0182385. 16 indexed citations
7.
Dong, Jihu, Francisco J. Aulestia, Suzana Assad Kahn, et al.. (2017). Bisacodyl and its cytotoxic activity on human glioblastoma stem-like cells. Implication of inositol 1,4,5-triphosphate receptor dependent calcium signaling. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1864(6). 1018–1027. 17 indexed citations
8.
Madec, Morgan, et al.. (2017). Application à la biologie synthétique des méthodes et outils de CAO de la microélectronique. médecine/sciences. 33(2). 159–168. 1 indexed citations
9.
Argilés, Àngel, G. Mourad, C Mion, R. C. Atkins, & Jacques Haiech. (2015). Two-Dimensional Gel Electrophoresis of Urinary Proteins in Kidney Diseases. Contributions to nephrology. 83. 1–8. 3 indexed citations
10.
Bachstetter, Adam D., Scott J. Webster, Tao Tu, et al.. (2014). Generation and Behavior Characterization of CaMKIIβ Knockout Mice. PLoS ONE. 9(8). e105191–e105191. 29 indexed citations
11.
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Madec, Morgan, et al.. (2012). Using digital electronic design flow to create a Genetic Design Automation tool. PubMed. 2012. 5530–5533. 5 indexed citations
13.
Patru, Cristina, Luciana Romão, Pascale Varlet, et al.. (2010). CD133, CD15/SSEA-1, CD34 or side populations do not resume tumor-initiating properties of long-term cultured cancer stem cells from human malignant glio-neuronal tumors. BMC Cancer. 10(1). 66–66. 77 indexed citations
14.
Ranaivo, Hantamalala Ralay, Nunzia Carusio, Rosemary Wangensteen, et al.. (2007). Protection Against Endotoxic Shock as a Consequence of Reduced Nitrosative Stress in MLCK210-Null Mice. American Journal Of Pathology. 170(2). 439–446. 36 indexed citations
15.
Dagher, Rania, Claire Pigault, Dominique Bonnet, et al.. (2006). Use of a fluorescent polarization based high throughput assay to identify new Calmodulin ligands. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1763(11). 1250–1255. 15 indexed citations
16.
Haiech, Jacques & Marie‐Claude Kilhoffer. (2003). Deconvolution of Calcium-Binding Curves: Facts and Fantasies. Humana Press eBooks. 173. 25–42. 5 indexed citations
17.
Sanglier, Sarah, et al.. (2003). Properties and Regulation of the Bifunctional Enzyme HPr Kinase/Phosphatase in Bacillus subtilis. Journal of Biological Chemistry. 278(2). 1174–1185. 34 indexed citations
18.
Rondé, Philippe, et al.. (2000). Mechanism of calcium oscillations in migrating human astrocytoma cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1498(2-3). 273–280. 40 indexed citations
19.
Guiseppi, Annick, et al.. (1998). Calcium signalling in Bacillus subtilis. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1448(2). 212–226. 84 indexed citations
20.
Haiech, Jacques, Marie Claude Kilhoffer, Theodore A. Craig, et al.. (1990). Mutant Analysis Approaches to Understanding Calcium Signal Transduction Through Calmodulin and Calmodulin Regulated Enzymes. Advances in experimental medicine and biology. 269. 43–56. 11 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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