Irène Teyssandier

1.9k total citations · 1 hit paper
8 papers, 1.2k citations indexed

About

Irène Teyssandier is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Irène Teyssandier has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Hematology, 4 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in Irène Teyssandier's work include Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Acute Myeloid Leukemia Research (2 papers). Irène Teyssandier is often cited by papers focused on Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Acute Myeloid Leukemia Research (2 papers). Irène Teyssandier collaborates with scholars based in France and Belize. Irène Teyssandier's co-authors include Nicole Casadevall, Valérie Ugo, Bruno Varet, Patrick A. Michaud, P Martin-Dupont, J Nataf, Patrick Mayeux, B Viron, Jean‐Jacques Kiladjian and T. Papo and has published in prestigious journals such as New England Journal of Medicine, Blood and Clinical Cancer Research.

In The Last Decade

Irène Teyssandier

8 papers receiving 1.1k citations

Hit Papers

Pure Red-Cell Aplasia and Antierythropoietin Antibodies i... 2002 2026 2010 2018 2002 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Irène Teyssandier France 6 581 470 396 353 235 8 1.2k
Roberto Foà Italy 21 455 0.8× 497 1.1× 220 0.6× 479 1.4× 113 0.5× 60 1.3k
Roberto Cairoli Italy 22 1.1k 1.9× 516 1.1× 703 1.8× 725 2.1× 53 0.2× 130 2.1k
P Martin-Dupont France 5 370 0.6× 462 1.0× 198 0.5× 77 0.2× 239 1.0× 9 893
J Berger France 14 242 0.4× 312 0.7× 250 0.6× 73 0.2× 136 0.6× 30 1.4k
Lionel Karlin France 22 922 1.6× 280 0.6× 956 2.4× 313 0.9× 107 0.5× 101 1.8k
Vamsi Kota United States 19 887 1.5× 126 0.3× 397 1.0× 397 1.1× 54 0.2× 156 1.4k
Silvia Brugnatelli Italy 22 338 0.6× 109 0.2× 531 1.3× 155 0.4× 90 0.4× 78 1.4k
Lene Meldgaard Knudsen Denmark 23 1.1k 2.0× 430 0.9× 989 2.5× 200 0.6× 63 0.3× 50 1.9k
A. John Ashcroft United Kingdom 16 949 1.6× 190 0.4× 663 1.7× 156 0.4× 134 0.6× 23 1.5k
Lars Möllgård Sweden 20 1.5k 2.6× 283 0.6× 922 2.3× 627 1.8× 100 0.4× 41 2.2k

Countries citing papers authored by Irène Teyssandier

Since Specialization
Citations

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

Fields of papers citing papers by Irène Teyssandier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irène Teyssandier

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

All Works

8 of 8 papers shown
1.
Aubert, Olivier, Rébecca Sberro‐Soussan, Anne Scemla, et al.. (2014). Autoimmune Neutropenia After Kidney Transplantation. Transplantation. 97(7). 725–729. 4 indexed citations
2.
Tang, Ruoping, Pierre Hirsch, Fanny Fava, et al.. (2009). High Id1 expression is associated with poor prognosis in 237 patients with acute myeloid leukemia. Blood. 114(14). 2993–3000. 43 indexed citations
3.
Dupont, Sabrina, Aline Massé, Chloé James, et al.. (2007). The JAK2 617V>F mutation triggers erythropoietin hypersensitivity and terminal erythroid amplification in primary cells from patients with polycythemia vera. Blood. 110(3). 1013–1021. 143 indexed citations
4.
Marzac, Christophe, Irène Teyssandier, Jean‐Yves Perrot, et al.. (2006). Flt3 Internal Tandem Duplication and P-Glycoprotein Functionality in 171 Patients with Acute Myeloid Leukemia. Clinical Cancer Research. 12(23). 7018–7024. 18 indexed citations
5.
Ugo, Valérie, Christophe Marzac, Irène Teyssandier, et al.. (2004). Multiple signaling pathways are involved in erythropoietin-independent differentiation of erythroid progenitors in polycythemia vera. Experimental Hematology. 32(2). 179–187. 127 indexed citations
6.
Casadevall, Nicole, J Nataf, B Viron, et al.. (2002). Pure Red-Cell Aplasia and Antierythropoietin Antibodies in Patients Treated with Recombinant Erythropoietin. New England Journal of Medicine. 346(7). 469–475. 843 indexed citations breakdown →
7.
Hadjez, Jack, et al.. (1998). Prognostic and diagnostic value of endogenous erythroid colony formation in essential thrombocythemia.. PubMed. 40(4). 171–4. 8 indexed citations
8.
Rio, Bernard, M Cadiou, G. Andreu, et al.. (1986). [Expansion of erythropoiesis and granulopoiesis after bone marrow grafts].. PubMed. 28(6). 349–54. 1 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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