Jean‐Pierre Cartron

871 total citations
18 papers, 684 citations indexed

About

Jean‐Pierre Cartron is a scholar working on Hematology, Physiology and Molecular Biology. According to data from OpenAlex, Jean‐Pierre Cartron has authored 18 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Hematology, 15 papers in Physiology and 7 papers in Molecular Biology. Recurrent topics in Jean‐Pierre Cartron's work include Erythrocyte Function and Pathophysiology (15 papers), Blood groups and transfusion (14 papers) and Glycosylation and Glycoproteins Research (3 papers). Jean‐Pierre Cartron is often cited by papers focused on Erythrocyte Function and Pathophysiology (15 papers), Blood groups and transfusion (14 papers) and Glycosylation and Glycoproteins Research (3 papers). Jean‐Pierre Cartron collaborates with scholars based in France, United States and Switzerland. Jean‐Pierre Cartron's co-authors include Pierre Ripoche, Volker Endeward, Peter Agre, Landon S. King, Michael Choi, Pedro C. Fernandez, Pierre Gane, Caroline Le Van Kim, Yves Colin and Christophe Tournamille and has published in prestigious journals such as New England Journal of Medicine, The EMBO Journal and PLoS ONE.

In The Last Decade

Jean‐Pierre Cartron

18 papers receiving 666 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean‐Pierre Cartron France 11 334 276 255 118 90 18 684
Martine Huet France 9 183 0.5× 241 0.9× 246 1.0× 98 0.8× 65 0.7× 14 512
Dominique Goossens France 12 223 0.7× 156 0.6× 172 0.7× 92 0.8× 73 0.8× 20 520
Pascale Texier France 16 432 1.3× 361 1.3× 105 0.4× 168 1.4× 142 1.6× 23 936
Robert A. Luhm United States 11 295 0.9× 149 0.5× 207 0.8× 44 0.4× 233 2.6× 12 690
Marina Lanciotti Italy 17 267 0.8× 134 0.5× 160 0.6× 44 0.4× 204 2.3× 51 733
James G. Stout United States 10 588 1.8× 249 0.9× 96 0.4× 59 0.5× 267 3.0× 13 984
Javier Rey-Campos Spain 17 520 1.6× 108 0.4× 137 0.5× 36 0.3× 243 2.7× 28 998
Brian I. Lord United Kingdom 18 149 0.4× 67 0.2× 222 0.9× 72 0.6× 136 1.5× 34 655
Martha Farmer United States 12 180 0.5× 142 0.5× 98 0.4× 53 0.4× 103 1.1× 16 631
M. Viau France 14 268 0.8× 95 0.3× 102 0.4× 35 0.3× 37 0.4× 23 632

Countries citing papers authored by Jean‐Pierre Cartron

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Pierre Cartron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Pierre Cartron. 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 Jean‐Pierre Cartron. The network helps show where Jean‐Pierre Cartron may publish in the future.

Co-authorship network of co-authors of Jean‐Pierre Cartron

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

All Works

18 of 18 papers shown
1.
Goossens, Dominique, Ulrich Cortes, Isabelle Callebaut, et al.. (2013). Mice Expressing RHAG and RHD Human Blood Group Genes. PLoS ONE. 8(11). e80460–e80460. 12 indexed citations
2.
Peyrard, Thierry, Marylise Beolet, Philippe Rouger, et al.. (2010). Blood group genotyping by high‐throughput DNA analysis applied to 356 reagent red blood cell samples. Transfusion. 51(1). 36–42. 24 indexed citations
3.
Arnaud, Lionel, Virginie Helias, Thierry Peyrard, et al.. (2010). A functional AQP1 allele producing a Co(a–b–) phenotype revises and extends the Colton blood group system. Transfusion. 50(10). 2106–2116. 6 indexed citations
4.
Arnaud, Lionel, François Salachas, Nicole Lucien, et al.. (2008). Identification and characterization of a novel XK splice site mutation in a patient with McLeod syndrome. Transfusion. 49(3). 479–484. 8 indexed citations
5.
Endeward, Volker, et al.. (2007). RhAG protein of the Rhesus complex is a CO 2 channel in the human red cell membrane. The FASEB Journal. 22(1). 64–73. 134 indexed citations
6.
Richard, Martine, Josée Perreault, Pierre Gane, et al.. (2006). Phage‐derived monoclonal anti‐Lua. Transfusion. 46(6). 1011–1017. 9 indexed citations
7.
King, Landon S., Michael Choi, Pedro C. Fernandez, Jean‐Pierre Cartron, & Peter Agre. (2001). Defective Urinary Concentrating Ability Due to a Complete Deficiency of Aquaporin-1. New England Journal of Medicine. 345(3). 175–179. 167 indexed citations
8.
Gane, Pierre, Caroline Le Van Kim, V. Bony, et al.. (2001). Flow cytometric analysis of the association between blood group‐related proteins and the detergent‐insoluble material of K562 cells and erythroid precursors. British Journal of Haematology. 113(3). 680–688. 33 indexed citations
9.
Chrétien, Stany, P. Varlet, Frédèrique Verdier, et al.. (1996). Erythropoietin-induced erythroid differentiation of the human erythroleukemia cell line TF-1 correlates with impaired STAT5 activation.. The EMBO Journal. 15(16). 4174–4181. 78 indexed citations
10.
Martial, Sonia, Bernadette Olivès, Laurence Abrami, et al.. (1996). Functional differentiation of the human red blood cell and kidney urea transporters. American Journal of Physiology-Renal Physiology. 271(6). F1264–F1268. 31 indexed citations
11.
Tournamille, Christophe, Caroline Le Van Kim, Pierre Gane, Jean‐Pierre Cartron, & Yves Colin. (1995). Molecular basis and PCR-DNA typing of the Fya/fyb blood group polymorphism. Human Genetics. 95(4). 407–410. 111 indexed citations
12.
Pallu, Stéphane, Patrick Mayeux, D. Goossens, et al.. (1993). Preparation and Biological Properties of Monoclonal Antibodies Against Human Erythropoietin. Hybridoma. 12(5). 599–608. 8 indexed citations
13.
Mouro-Chanteloup, Isabelle, et al.. (1992). Spanish Rhnull family caused by a silent Rh gene: Hematological, serological, and biochemical studies. American Journal of Hematology. 40(4). 306–312. 6 indexed citations
14.
Rahuel, Cécile, Jacqueline London, Alain Vignal, Samir K. Ballas, & Jean‐Pierre Cartron. (1991). Erythrocyte glycophorin B deficiency may occur by two distinct gene alterations. American Journal of Hematology. 37(1). 57–58. 15 indexed citations
15.
Dahr, W., et al.. (1990). The MzVariety of the St(a+) Phenotype — a Variant of Glycophorin A Exhibiting a Deletion. Biological Chemistry Hoppe-Seyler. 371(1). 403–410. 8 indexed citations
16.
Dahr, W., Dominique Blanchard, Siegrid Kiedrowski, et al.. (1989). High-Frequency Antigens of Human Erythrocyte Membrane Sialoglycoproteins. VI. Monoclonal Antibodies Reacting with the N-Terminal Domain of Glycophorin C. Biological Chemistry Hoppe-Seyler. 370(2). 849–854. 16 indexed citations
17.
Holburn, A. M., Jean‐Pierre Cartron, J. Economidou, Brigitte Gardner, & N. C. Hughes‐Jones. (1971). Observations on the reactions between D-positive red cells and ( 125 I)IgM anti-D molecules and subunits.. PubMed. 21(3). 499–507. 8 indexed citations
18.
Cartron, Jean‐Pierre, P Mannoni, & Ch. Salmon. (1969). Mesures quantitatives des antigènes A, A1, B, H, I et i Application à la pathologie. 12. 21–27. 10 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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