Patrick Ducoroy

2.2k total citations
58 papers, 1.6k citations indexed

About

Patrick Ducoroy is a scholar working on Molecular Biology, Immunology and Spectroscopy. According to data from OpenAlex, Patrick Ducoroy has authored 58 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 12 papers in Immunology and 11 papers in Spectroscopy. Recurrent topics in Patrick Ducoroy's work include Advanced Proteomics Techniques and Applications (10 papers), Mass Spectrometry Techniques and Applications (7 papers) and Salivary Gland Disorders and Functions (7 papers). Patrick Ducoroy is often cited by papers focused on Advanced Proteomics Techniques and Applications (10 papers), Mass Spectrometry Techniques and Applications (7 papers) and Salivary Gland Disorders and Functions (7 papers). Patrick Ducoroy collaborates with scholars based in France, United States and Luxembourg. Patrick Ducoroy's co-authors include Géraldine Lucchi, Martine Morzel, Éric Solary, Nathalie Droin, R. Lemaire, Isabelle Fournier, Michel Salzet, Olivier Palicki, Caroline Truntzer and Christophe Chambon and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Analytical Chemistry.

In The Last Decade

Patrick Ducoroy

56 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick Ducoroy France 26 642 339 233 228 217 58 1.6k
Bettina Sarg Austria 32 2.0k 3.0× 566 1.7× 161 0.7× 67 0.3× 284 1.3× 105 3.1k
Srikanth Rapole India 27 1.1k 1.7× 439 1.3× 176 0.8× 134 0.6× 407 1.9× 95 2.0k
Herbert Lindner Austria 31 1.7k 2.6× 567 1.7× 108 0.5× 56 0.2× 293 1.4× 72 2.6k
Edwin Lasonder Netherlands 33 2.0k 3.1× 179 0.5× 534 2.3× 250 1.1× 53 0.2× 57 4.2k
Virginie Brun France 21 1.0k 1.6× 745 2.2× 69 0.3× 50 0.2× 115 0.5× 52 1.7k
Satish K. Singh United States 23 939 1.5× 42 0.1× 145 0.6× 179 0.8× 292 1.3× 80 2.4k
R. Reid Townsend United States 30 2.0k 3.1× 537 1.6× 372 1.6× 79 0.3× 87 0.4× 73 3.6k
Néel Sarovar Bhavesh India 25 1.4k 2.1× 122 0.4× 131 0.6× 29 0.1× 77 0.4× 79 2.1k
Hampapathalu Adimurthy Nagarajaram India 23 1.3k 2.0× 165 0.5× 64 0.3× 52 0.2× 308 1.4× 69 1.9k
Wilfred H. Tang United States 12 1.5k 2.3× 780 2.3× 111 0.5× 50 0.2× 97 0.4× 16 2.3k

Countries citing papers authored by Patrick Ducoroy

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Ducoroy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Ducoroy

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Ducoroy. A scholar is included among the top collaborators of Patrick Ducoroy 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 Patrick Ducoroy. Patrick Ducoroy 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.
Lucchi, Géraldine, Patrick Ducoroy, Jean B. Bertoldo, et al.. (2018). S-Nitrosylation of cIAP1 Switches Cancer Cell Fate from TNFα/TNFR1-Mediated Cell Survival to Cell Death. Cancer Research. 78(8). 1948–1957. 33 indexed citations
2.
Morzel, Martine, Caroline Truntzer, Eric Neyraud, et al.. (2017). Associations between food consumption patterns and saliva composition: Specificities of eating difficulties children. Physiology & Behavior. 173. 116–123. 25 indexed citations
3.
Giremus, Audrey, Jean‐François Giovannelli, Caroline Truntzer, et al.. (2017). Bayesian inference for biomarker discovery in proteomics: an analytic solution. PubMed. 2017(1). 9–9. 3 indexed citations
4.
Truntzer, Caroline, et al.. (2014). Comparison of classification methods that combine clinical data and high-dimensional mass spectrometry data. BMC Bioinformatics. 15(1). 385–385. 4 indexed citations
5.
Zhang, Xiaoqing, Gérard Thiéfin, Cyril Gobinet, et al.. (2013). Profiling serologic biomarkers in cirrhotic patients via high-throughput Fourier transform infrared spectroscopy: toward a new diagnostic tool of hepatocellular carcinoma. Translational research. 162(5). 279–286. 32 indexed citations
6.
Largeot, Anne, Jérôme Paggetti, Julien Broséus, et al.. (2013). Symplekin, a polyadenylation factor, prevents MOZ and MLL activity on HOXA9 in hematopoietic cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1833(12). 3054–3063. 5 indexed citations
7.
Sendid, Boualem, Patrick Ducoroy, Nadine François, et al.. (2012). Evaluation of MALDI-TOF mass spectrometry for the identification of medically-important yeasts in the clinical laboratories of Dijon and Lille hospitals. Medical Mycology. 51(1). 25–32. 60 indexed citations
8.
9.
Truntzer, Caroline, et al.. (2010). Multivariate denoising methods combining wavelets and principal component analysis for mass spectrometry data. PROTEOMICS. 10(14). 2564–2572. 20 indexed citations
10.
Truntzer, Caroline, et al.. (2010). Multivariate denoising methods combining wavelets and principal component analysis for mass spectrometry data. PROTEOMICS - CLINICAL APPLICATIONS. 4(10-11). 855–855.
11.
Quintana, Mercédès, Olivier Palicki, Géraldine Lucchi, et al.. (2009). Inter-individual variability of protein patterns in saliva of healthy adults. Journal of Proteomics. 72(5). 822–830. 72 indexed citations
12.
Lehmann, Sylvain, Stéphane Roche, Yves Allory, et al.. (2009). Recommandations préanalytiques pour les analyses de protéomique clinique des fluides biologiques. Annales de biologie clinique. 67(6). 629–639. 12 indexed citations
13.
Droin, Nathalie, et al.. (2009). Human defensins as cancer biomarkers and antitumour molecules. Journal of Proteomics. 72(6). 918–927. 119 indexed citations
14.
Lucchi, Géraldine, et al.. (2007). Vers une standardisation des outils pour les études de protéomique clinique. médecine/sciences. 23. 19–22. 1 indexed citations
15.
Pflieger, Delphine, O Gaillard, Bruno Bernard, et al.. (2006). Comparative proteomic analysis of extracellular matrix proteins secreted by two types of skin fibroblasts. PROTEOMICS. 6(21). 5868–5879. 38 indexed citations
16.
Dumont, Laure, Thomas Gautier, Jean-Paul Paı̈s de Barros, et al.. (2005). Molecular Mechanism of the Blockade of Plasma Cholesteryl Ester Transfer Protein by Its Physiological Inhibitor Apolipoprotein CI. Journal of Biological Chemistry. 280(45). 38108–38116. 44 indexed citations
17.
Ducoroy, Patrick, et al.. (2001). The immunosuppressant LF 15-0195 prevents collagen-induced arthritis with IL-10 down-regulation. Transplantation Proceedings. 33(3). 2142–2145. 2 indexed citations
18.
Ducoroy, Patrick, et al.. (1999). Natural and induced apoptosis during lymphocyte development in the axolotl. Developmental & Comparative Immunology. 23(3). 241–252. 13 indexed citations
19.
Sammut, Bénédicte, Louis Du Pasquier, Patrick Ducoroy, et al.. (1999). Axolotl MHC architecture and polymorphism. European Journal of Immunology. 29(9). 2897–2907. 47 indexed citations
20.
Tournefier, Annick, et al.. (1998). Structure of MHC class I and class II cDNAs and possible immunodeficiency linked to class II expression in the Mexican axolotl. Immunological Reviews. 166(1). 259–277. 48 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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