C. Picard

1.7k total citations · 1 hit paper
20 papers, 1.3k citations indexed

About

C. Picard is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pharmacology. According to data from OpenAlex, C. Picard has authored 20 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Pharmacology. Recurrent topics in C. Picard's work include Glycosylation and Glycoproteins Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Mycobacterium research and diagnosis (3 papers). C. Picard is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Mycobacterium research and diagnosis (3 papers). C. Picard collaborates with scholars based in France and Belgium. C. Picard's co-authors include Jean‐Marc Herbert, Jean‐Marie Pereillo, Marc Pascal, Pierre Savi, Jean‐Pierre Maffrand, Mohamed Maftouh, Jean Combalbert, Olivier Fedeli, Yvan Vander Heyden and Gérard Le Fur and has published in prestigious journals such as Molecular and Cellular Biology, Analytical Chemistry and Biochemistry.

In The Last Decade

C. Picard

20 papers receiving 1.3k citations

Hit Papers

Identification and Biological Activity of the Active Meta... 2000 2026 2008 2017 2000 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Picard France 11 728 289 264 261 173 20 1.3k
Jean‐Marie Pereillo France 9 846 1.2× 263 0.9× 294 1.1× 220 0.8× 188 1.1× 12 1.3k
Madhu Chintala United States 17 614 0.8× 96 0.3× 153 0.6× 331 1.3× 56 0.3× 50 1.4k
J. Augustín Germany 19 274 0.4× 165 0.6× 296 1.1× 309 1.2× 316 1.8× 46 1.2k
Keiji Kubo Japan 19 645 0.9× 145 0.5× 268 1.0× 609 2.3× 326 1.9× 49 1.9k
Taketoshi Ogawa Japan 14 541 0.7× 118 0.4× 240 0.9× 98 0.4× 82 0.5× 30 827
Atsuhiro Sugidachi Japan 19 1.7k 2.4× 291 1.0× 784 3.0× 174 0.7× 275 1.6× 64 2.2k
Maria G. Sciulli Italy 23 570 0.8× 1.2k 4.1× 257 1.0× 258 1.0× 33 0.2× 27 1.8k
G A FitzGerald United States 10 294 0.4× 329 1.1× 115 0.4× 180 0.7× 61 0.4× 14 888
Uwe J. Ries Germany 11 558 0.8× 39 0.1× 100 0.4× 290 1.1× 82 0.5× 17 1.2k
Sam Rebello United States 21 357 0.5× 76 0.3× 133 0.5× 215 0.8× 143 0.8× 58 1.1k

Countries citing papers authored by C. Picard

Since Specialization
Citations

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

Fields of papers citing papers by C. Picard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Picard

This figure shows the co-authorship network connecting the top 25 collaborators of C. Picard. A scholar is included among the top collaborators of C. Picard 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 C. Picard. C. Picard 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.
Hassan, Cesare, et al.. (2025). Analytical approach for identification and mechanistic insights into mRNA-lipid adduct formation. Molecular Therapy — Nucleic Acids. 36(3). 102684–102684. 1 indexed citations
2.
Bequet, Frédéric, et al.. (2007). CB1 receptor‐mediated control of the release of endocannabinoids (as assessed by microdialysis coupled with LC/MS) in the rat hypothalamus. European Journal of Neuroscience. 26(12). 3458–3464. 47 indexed citations
3.
Maftouh, Mohamed, et al.. (2005). Screening approach for chiral separation of pharmaceuticals. Journal of Chromatography A. 1088(1-2). 67–81. 132 indexed citations
4.
Pereillo, Jean‐Marie, Mohamed Maftouh, Olivier Fedeli, et al.. (2002). Structure and Stereochemistry of the Active Metabolite of Clopidogrel. Drug Metabolism and Disposition. 30(11). 1288–1295. 356 indexed citations
5.
Péleraux, Annick, Sandra Silve, Sylvaine Galiègue, et al.. (2002). A DNA Microarray-Based Approach to Elucidate the Effects of the Immunosuppressant SR31747A on Gene Expression in Saccharomyces cerevisiae. Gene Expression. 10(5). 213–230. 9 indexed citations
6.
Savi, Pierre, Jean‐Marie Pereillo, Jean Combalbert, et al.. (2000). Identification and Biological Activity of the Active Metabolite of Clopidogrel. Thrombosis and Haemostasis. 84(11). 891–896. 562 indexed citations breakdown →
7.
Silve, Sandra, C. Picard, Alain Rahier, et al.. (1998). Antiproliferative effects of SR31747A in animal cell lines are mediated by inhibition of cholesterol biosynthesis at the sterol isomerase step. European Journal of Biochemistry. 256(2). 342–349. 35 indexed citations
9.
Silve, Sandra, Pascal Leplatois, Mourad Kaghad, et al.. (1996). The Immunosuppressant SR 31747 Blocks Cell Proliferation by Inhibiting a Steroid Isomerase in Saccharomyces cerevisiae. Molecular and Cellular Biology. 16(6). 2719–2727. 62 indexed citations
10.
Tuffal, Gilles, et al.. (1995). Structural Elucidation of Novel Methylglucose‐Containing Polysaccharides from Mycobacterium xenopi. European Journal of Biochemistry. 233(1). 377–383. 14 indexed citations
11.
Tuffal, Gilles, et al.. (1995). Purification and LSIMS Analysis of Methyl Glucose Polysaccharides fromMycobacterium xenopi, a Slow Growing Mycobacterium1. Journal of Carbohydrate Chemistry. 14(4-5). 631–642. 7 indexed citations
12.
Herbert, John M., et al.. (1994). Two-site immunoassay of recombinant hirudin based on two monoclonal antibodies. Clinical Chemistry. 40(5). 734–739. 2 indexed citations
13.
Ravanat, Catherine, Christian Gachet, Jean‐Marc Herbert, et al.. (1994). Rat platelets contain glycosylated and non‐glycosylated forms of platelet factor 4. European Journal of Biochemistry. 223(1). 203–210. 10 indexed citations
14.
Maftouh, Mohamed, et al.. (1992). Characterization of the deamidated forms of recombinant hirudin. Biochemistry. 31(35). 8291–8299. 21 indexed citations
15.
Maftouh, Mohamed, et al.. (1991). Liquid secondary ion mass spectrometry applied to structural confirmation of enzymically prepared C-terminal-truncated derivatives of recombinant hirudin. Journal of Chromatography B Biomedical Sciences and Applications. 562(1-2). 421–434. 6 indexed citations
16.
Maftouh, Mohamed, et al.. (1990). Site specific radioiodination of recombinant hirudin. Analytical Biochemistry. 189(2). 186–191. 9 indexed citations
17.
Gauthier, Thierry, Jean‐Marc Herbert, Mohamed Maftouh, C. Picard, & Michel Morre. (1989). High affinity binding sites for basic fibroblast growth factor in rat hepatic plasma membranes. Life Sciences. 44(8). 509–516. 2 indexed citations
18.
Dol, F., C. Caranobe, Piérre Siè, et al.. (1987). Pharmacokinetics of 125I-pentosan polysulfate in the rabbit. Thrombosis Research. 48(3). 373–378. 3 indexed citations
19.
Gauthier, Thierry, Mohamed Maftouh, & C. Picard. (1987). Rapid enzymatic degradation of [125I] (Tyr 10) FGF (1–10) by serum in vitro and involvement in the determination of circulating FGF by RIA. Biochemical and Biophysical Research Communications. 145(2). 775–781. 15 indexed citations
20.
Picard, C., et al.. (1986). Epitope diversity of angiotensin II analysed with monoclonal antibodies.. PubMed. 57(1). 19–24. 18 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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