Irène Rappold
- Hematology top 2%
- Acute Myeloid Leukemia Research 3
- Hematopoietic Stem Cell Transplantation 3
- Immunology top 5%
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 4
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research 4
- Oncology top 10%
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- Monoclonal and Polyclonal Antibodies Research 5
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- Glycosylation and Glycoproteins Research 4
- Cancer therapeutics and mechanisms 2
- Cell death mechanisms and regulation 2
- Co-authors
- Junjie ChenTakayasu DateKuniyoshi IwabuchiHans‐Jörg BühringLothar KanzWolfram BruggerDaniel BirnbaumOlivier Rosnet
- Cited by
- HematologyImmunologyGenetics
- Journals
- Blood (8 papers)The Journal of Cell Biology (1 paper)British Journal of Haematology (1 paper)
- Partner nations
- GermanyUnited KingdomFrance
In The Last Decade
Irène Rappold
18 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 88
- Hematology 517
- Immunology 527
- Genetics 242
- Immunology and Allergy 108
- Oncology 399
Countries citing papers authored by Irène Rappold
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
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
The 25 scholars most cited alongside Irène Rappold, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 408 | |
| 2 | 2000 | 70 | |
| 3 | 2000 | 47 | |
| 4 | 1999 | 26 | |
| 5 | 1999 | 255 | |
| 6 | 1999 | 36 | |
| 7 | 1999 | 107 | |
| 8 | 1998 | 60 | |
| 9 | 1998 | 5 | |
| 10 | 1997 | 57 | |
| 11 | 1997 | 3 | |
| 12 | 1997 | 83 | |
| 13 | 1997 | 107 | |
| 14 | 1996 | 72 | |
| 15 | Human FLT3/FLK2 receptor tyrosine kinase is expressed at the surface of normal and malignant hematopoietic cells. | 1996 | 196 |
| 16 | The adhesion molecule E-cadherin and a surface antigen recognized by the antibody 9C4 are selectively expressed on erythroid cells of defined maturational stages. | 1996 | 34 |
| 17 | 1996 | 71 | |
| 18 | 1994 | 16 |
About Irène Rappold
Irène Rappold is a scholar working on Immunology and Allergy, Hematology and Genetics, having authored 18 papers that have together received 1.7k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Cell Adhesion Molecules Research (4 papers), Acute Myeloid Leukemia Research (3 papers), Hematopoietic Stem Cell Transplantation (3 papers), Cancer therapeutics and mechanisms (2 papers) and Cell death mechanisms and regulation (2 papers). The work is most often cited by research in Hematology (517 citations), Immunology (527 citations) and Genetics (242 citations). Irène Rappold has collaborated with scholars based in Germany, United Kingdom and France. Frequent 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. Their work appears in journals such as Blood, The Journal of Cell Biology, British Journal of Haematology, Acta Haematologica and Journal of Clinical Oncology.
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.