Christiane Eder

2.7k total citations
41 papers, 1.5k citations indexed

About

Christiane Eder is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Christiane Eder has authored 41 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Hematology, 17 papers in Molecular Biology and 13 papers in Genetics. Recurrent topics in Christiane Eder's work include Acute Myeloid Leukemia Research (35 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (11 papers) and Chronic Myeloid Leukemia Treatments (8 papers). Christiane Eder is often cited by papers focused on Acute Myeloid Leukemia Research (35 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (11 papers) and Chronic Myeloid Leukemia Treatments (8 papers). Christiane Eder collaborates with scholars based in Germany, United Kingdom and United States. Christiane Eder's co-authors include Wolfgang Kern, Susanne Schnittger, Claudia Haferlach, Torsten Haferlach, Alexander Kohlmann, Tamara Alpermann, Vera Grossmann, Frank Dicker, Annette Fasan and Niroshan Nadarajah and has published in prestigious journals such as Blood, PLoS ONE and Journal of Leukocyte Biology.

In The Last Decade

Christiane Eder

41 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christiane Eder Germany 18 1.1k 727 535 230 188 41 1.5k
Iris H.I.M. Hollink Netherlands 19 848 0.8× 684 0.9× 144 0.3× 162 0.7× 313 1.7× 35 1.2k
Kathy L. McGraw United States 18 756 0.7× 558 0.8× 343 0.6× 125 0.5× 42 0.2× 53 1.2k
Thomas Nösslinger Austria 17 1.4k 1.3× 498 0.7× 684 1.3× 60 0.3× 188 1.0× 49 1.6k
Clemens Mellink Netherlands 13 494 0.5× 310 0.4× 275 0.5× 87 0.4× 174 0.9× 30 889
Nicolas Duployez France 17 621 0.6× 375 0.5× 303 0.6× 135 0.6× 190 1.0× 67 950
JW Janssen Germany 14 951 0.9× 552 0.8× 248 0.5× 127 0.6× 544 2.9× 18 1.4k
A Butturini United States 15 626 0.6× 470 0.6× 170 0.3× 108 0.5× 185 1.0× 41 1.1k
Monika Beličková Czechia 18 466 0.4× 650 0.9× 217 0.4× 441 1.9× 40 0.2× 57 1.1k
Daniela De Micheli Italy 7 1.2k 1.1× 581 0.8× 488 0.9× 99 0.4× 581 3.1× 8 1.5k
Jessica A. Pollard United States 21 1.1k 1.0× 649 0.9× 177 0.3× 76 0.3× 493 2.6× 79 1.6k

Countries citing papers authored by Christiane Eder

Since Specialization
Citations

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

Fields of papers citing papers by Christiane Eder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christiane Eder

This figure shows the co-authorship network connecting the top 25 collaborators of Christiane Eder. A scholar is included among the top collaborators of Christiane Eder 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 Christiane Eder. Christiane Eder 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.
Fasan, Annette, Claudia Haferlach, Christiane Eder, et al.. (2015). Evaluation of IDH1G105 polymorphism as prognostic marker in intermediate-risk AML. Annals of Hematology. 94(12). 1991–2001. 2 indexed citations
2.
Alpermann, Tamara, Ulrike Bacher, Christiane Eder, et al.. (2014). WT1 mutations are secondary events in AML, show varying frequencies and impact on prognosis between genetic subgroups. Leukemia. 29(3). 660–667. 57 indexed citations
3.
Eder, Christiane, Tamara Alpermann, Ulrike Bacher, et al.. (2014). High number of additional genetic lesions in acute myeloid leukemia with t(8;21)/RUNX1-RUNX1T1: frequency and impact on clinical outcome. Leukemia. 28(7). 1449–1458. 93 indexed citations
4.
Alpermann, Tamara, Frank Dicker, Sabine Jeromin, et al.. (2014). BAALC expression: a suitable marker for prognostic risk stratification and detection of residual disease in cytogenetically normal acute myeloid leukemia. Blood Cancer Journal. 4(1). e173–e173. 33 indexed citations
5.
Fasan, Annette, Claudia Haferlach, Tamara Alpermann, et al.. (2013). The role of different genetic subtypes of CEBPA mutated AML. Leukemia. 28(4). 794–803. 116 indexed citations
6.
Meggendorfer, Manja, Andreas Roller, Torsten Haferlach, et al.. (2012). SRSF2 mutations in 275 cases with chronic myelomonocytic leukemia (CMML). Blood. 120(15). 3080–3088. 219 indexed citations
7.
Schnittger, Susanne, Ulrike Bacher, Tamara Alpermann, et al.. (2012). Use of CBL exon 8 and 9 mutations in diagnosis of myeloproliferative neoplasms and myelodysplastic/myeloproliferative disorders: an analysis of 636 cases. Haematologica. 97(12). 1890–1894. 21 indexed citations
8.
Schnittger, Susanne, Christiane Eder, Sabine Jeromin, et al.. (2012). ASXL1 exon 12 mutations are frequent in AML with intermediate risk karyotype and are independently associated with an adverse outcome. Leukemia. 27(1). 82–91. 153 indexed citations
9.
Grossmann, Vera, Susanne Schnittger, Alexander Kohlmann, et al.. (2012). A novel hierarchical prognostic model of AML solely based on molecular mutations. Blood. 120(15). 2963–2972. 179 indexed citations
10.
Schnittger, S., Ulrike Bacher, Christiane Eder, et al.. (2012). Molecular analyses of 15,542 patients with suspected BCR-ABL1-negative myeloproliferative disorders allow to develop a stepwise diagnostic workflow. Haematologica. 97(10). 1582–1585. 17 indexed citations
11.
Großmann, Vera, Susanne Schnittger, Sonja Schindela, et al.. (2011). Strategy for Robust Detection of Insertions, Deletions, and Point Mutations in CEBPA, a GC-Rich Content Gene, Using 454 Next-Generation Deep-Sequencing Technology. Journal of Molecular Diagnostics. 13(2). 129–136. 30 indexed citations
12.
Frankenberger, Marion, Christiane Eder, Thomas P. Hofer, et al.. (2011). Chemokine Expression by Small Sputum Macrophages in COPD. Molecular Medicine. 17(7-8). 762–770. 35 indexed citations
13.
Weißmann, Sandra, Tamara Alpermann, Vera Grossmann, et al.. (2011). Landscape of TET2 mutations in acute myeloid leukemia. Leukemia. 26(5). 934–942. 183 indexed citations
14.
Schnittger, Susanne, Christiane Eder, Tamara Alpermann, et al.. (2011). ASXL1 exon 12 Mutations Are Frequent in AML with Intermediate Risk Karyotype and Are Independently Associated with An Extremely Poor Outcome. Blood. 118(21). 416–416. 5 indexed citations
15.
Heimbeck, Irene, Thomas P. Hofer, Christiane Eder, et al.. (2010). Standardized single‐platform assay for human monocyte subpopulations: Lower CD14+CD16++ monocytes in females. Cytometry Part A. 77A(9). 823–830. 105 indexed citations
16.
17.
Schnittger, Susanne, Tamara Alpermann, Christiane Eder, et al.. (2010). The Role of Different Genetic Subtypes In CEBPA Mutated AML. Blood. 116(21). 752–752. 4 indexed citations
18.
19.
Eder, Christiane, Marion Frankenberger, Franz Stanzel, et al.. (2009). Ultrafine carbon particles down-regulate CYP1B1 expression in human monocytes. Particle and Fibre Toxicology. 6(1). 27–27. 8 indexed citations
20.
Schnittger, Susanne, Michael Bonin, Christopher Schroeder, et al.. (2009). Development of An Oligonucleotide Resequencing Array for Rapid Mutation Analysis in Acute Myeloid Leukemia with Normal Karyotype.. Blood. 114(22). 705–705. 2 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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