Irène Rappold

2.0k total citations
18 papers, 1.7k citations indexed

About

Irène Rappold is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Hematology. According to data from OpenAlex, Irène Rappold has authored 18 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Hematology. Recurrent topics in Irène Rappold's work include Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Irène Rappold is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Chronic Lymphocytic Leukemia Research (4 papers). Irène Rappold collaborates with scholars based in Germany, United Kingdom and France. Irène Rappold's co-authors include Junjie Chen, Takayasu Date, Kuniyoshi Iwabuchi, Hans‐Jörg Bühring, Lothar Kanz, Wolfram Brugger, Daniel Birnbaum, Olivier Rosnet, Sylvie Marchetto and Eric J. Brown and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Cell Biology and Blood.

In The Last Decade

Irène Rappold

18 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
Irène Rappold Germany 16 840 527 517 399 242 18 1.7k
Sharon Boast United States 17 1.2k 1.4× 705 1.3× 691 1.3× 309 0.8× 302 1.2× 25 2.4k
Adlen Foudi France 17 872 1.0× 378 0.7× 563 1.1× 304 0.8× 203 0.8× 25 1.6k
Shin-ichi Mizuno Japan 14 1.1k 1.3× 1.2k 2.2× 774 1.5× 276 0.7× 253 1.0× 16 2.4k
Marina Scheller Germany 15 1.2k 1.4× 531 1.0× 555 1.1× 256 0.6× 175 0.7× 26 1.8k
Emmanuelle Six France 23 1.4k 1.6× 464 0.9× 266 0.5× 358 0.9× 171 0.7× 35 2.0k
Mareike Florek United States 18 560 0.7× 559 1.1× 546 1.1× 504 1.3× 162 0.7× 29 1.7k
Falak Helwani Australia 9 544 0.6× 446 0.8× 600 1.2× 231 0.6× 240 1.0× 12 1.5k
Françoise Moreau-Gachelin France 27 2.0k 2.4× 958 1.8× 722 1.4× 521 1.3× 312 1.3× 70 3.2k
Irving L. Weissman United States 9 572 0.7× 714 1.4× 648 1.3× 241 0.6× 255 1.1× 9 1.6k
Carolyn Brashem‐Stein United States 13 1.3k 1.5× 516 1.0× 994 1.9× 382 1.0× 545 2.3× 15 2.2k

Countries citing papers authored by Irène Rappold

Since Specialization
Citations

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

Fields of papers citing papers by Irène Rappold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irène Rappold

This figure shows the co-authorship network connecting the top 25 collaborators of Irène Rappold. A scholar is included among the top collaborators of Irène Rappold 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 Rappold. Irène Rappold 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.
Rappold, Irène, Kuniyoshi Iwabuchi, Takayasu Date, & Junjie Chen. (2001). Tumor Suppressor P53 Binding Protein 1 (53bp1) Is Involved in DNA Damage–Signaling Pathways. The Journal of Cell Biology. 153(3). 613–620. 408 indexed citations
2.
3.
Doyonnas, Régis, James Yi‐Hsin Chan, Lisa H. Butler, et al.. (2000). CD164 Monoclonal Antibodies That Block Hemopoietic Progenitor Cell Adhesion and Proliferation Interact with the First Mucin Domain of the CD164 Receptor. The Journal of Immunology. 165(2). 840–851. 47 indexed citations
4.
Rappold, Irène, SM Watt, Nuray Kuşadasi, et al.. (1999). Gp130-Signaling synergizes with FL and TPO for the long-term expansion of cord blood progenitors. Leukemia. 13(12). 2036–2048. 26 indexed citations
5.
Seiffert, Martina, Charles Cant, Zhengjun Chen, et al.. (1999). Human Signal-Regulatory Protein Is Expressed on Normal, But Not on Subsets of Leukemic Myeloid Cells and Mediates Cellular Adhesion Involving Its Counterreceptor CD47. Blood. 94(11). 3633–3643. 255 indexed citations
6.
Seiffert, Martina, Charles Cant, Zhengjun Chen, et al.. (1999). Human Signal-Regulatory Protein Is Expressed on Normal, But Not on Subsets of Leukemic Myeloid Cells and Mediates Cellular Adhesion Involving Its Counterreceptor CD47. Blood. 94(11). 3633–3643. 36 indexed citations
7.
Brugger, Wolfram, Hans‐Jörg Bühring, Frank Grünebach, et al.. (1999). Expression of MUC-1 Epitopes on Normal Bone Marrow: Implications for the Detection of Micrometastatic Tumor Cells. Journal of Clinical Oncology. 17(5). 1535–1535. 107 indexed citations
8.
Watt, Suzanne M., Hans‐Jörg Bühring, Irène Rappold, et al.. (1998). CD164, a Novel Sialomucin on CD34+ and Erythroid Subsets, Is Located on Human Chromosome 6q21. Blood. 92(3). 849–866. 60 indexed citations
9.
Watt, Suzanne M., Hans‐Jörg Bühring, Irène Rappold, et al.. (1998). CD164, a Novel Sialomucin on CD34+ and Erythroid Subsets, Is Located on Human Chromosome 6q21. Blood. 92(3). 849–866. 5 indexed citations
10.
Kukk, Eola, Ulla Wartiovaara, Yuji Gunji, et al.. (1997). Analysis of Tie receptor tyrosine kinase in haemopoietic progenitor and leukaemia cells. British Journal of Haematology. 98(1). 195–203. 57 indexed citations
11.
Haylock, David N., Hayley S. Ramshaw, Silvana Niutta, et al.. (1997). Increased Recruitment of Hematopoietic Progenitor Cells Underlies the Ex Vivo Expansion Potential of FLT3 Ligand. Blood. 90(6). 2260–2272. 3 indexed citations
12.
Haylock, David N., Hayley S. Ramshaw, Silvana Niutta, et al.. (1997). Increased Recruitment of Hematopoietic Progenitor Cells Underlies the Ex Vivo Expansion Potential of FLT3 Ligand. Blood. 90(6). 2260–2272. 83 indexed citations
13.
Rappold, Irène, Benedikt Ziegler, I. Köhler, et al.. (1997). Functional and phenotypic characterization of cord blood and bone marrow subsets expressing FLT3 (CD135) receptor tyrosine kinase.. Blood. 90(1). 111–25. 107 indexed citations
14.
Rosnet, Olivier, Hans‐Jörg Bühring, Odile deLapeyrière, et al.. (1996). Expression and Signal Transduction of the FLT3 Tyrosine Kinase Receptor. Acta Haematologica. 95(3-4). 218–223. 72 indexed citations
15.
Rosnet, Olivier, Bühring Hj, Sylvie Marchetto, et al.. (1996). Human FLT3/FLK2 receptor tyrosine kinase is expressed at the surface of normal and malignant hematopoietic cells.. PubMed. 10(2). 238–48. 196 indexed citations
16.
Bühring, Hans‐Jörg, Ronald Herbst, Susan P.C. Cole, et al.. (1996). The adhesion molecule E-cadherin and a surface antigen recognized by the antibody 9C4 are selectively expressed on erythroid cells of defined maturational stages.. PubMed. 10(1). 106–16. 34 indexed citations
17.
Rosnet, Olivier, Hans‐Jörg Bühring, Odile deLapeyrière, et al.. (1996). Expression and Signal Transduction of the FLT3 Tyrosine Kinase Receptor. PubMed. 95(3-4). 361–367. 71 indexed citations
18.
Rappold, Irène & Hans G. Erkert. (1994). Re‐entrainment, phase‐response and range of entrainment of circadian rhythms in Owl Monkeys(Aotus lemurinus g.)of different age. Biological Rhythm Research. 25(2). 133–152. 16 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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