Constance Baer

3.2k total citations
79 papers, 1.1k citations indexed

About

Constance Baer is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Constance Baer has authored 79 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Hematology, 39 papers in Genetics and 20 papers in Molecular Biology. Recurrent topics in Constance Baer's work include Acute Myeloid Leukemia Research (40 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (21 papers) and Chronic Lymphocytic Leukemia Research (17 papers). Constance Baer is often cited by papers focused on Acute Myeloid Leukemia Research (40 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (21 papers) and Chronic Lymphocytic Leukemia Research (17 papers). Constance Baer collaborates with scholars based in Germany, United States and Australia. Constance Baer's co-authors include Christoph Plass, Rainer Claus, Torsten Haferlach, Claudia Haferlach, Wolfgang Kern, Manja Meggendorfer, Stephan Hütter, Stephan Stilgenbauer, Thorsten Zenz and Wencke Walter and has published in prestigious journals such as Blood, Cancer Research and Optics Express.

In The Last Decade

Constance Baer

64 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Constance Baer Germany 17 619 424 386 336 189 79 1.1k
Samuli Eldfors Finland 16 403 0.7× 219 0.5× 286 0.7× 252 0.8× 273 1.4× 41 1.0k
Tobias Berg Canada 19 856 1.4× 116 0.3× 402 1.0× 231 0.7× 189 1.0× 60 1.3k
Bartlomiej Przychodzen United States 20 834 1.3× 177 0.4× 1.1k 2.8× 557 1.7× 217 1.1× 105 1.7k
Jyoti Nangalia United Kingdom 24 830 1.3× 217 0.5× 993 2.6× 1.1k 3.3× 82 0.4× 48 1.7k
Satyen H. Gohil United Kingdom 14 546 0.9× 226 0.5× 116 0.3× 191 0.6× 88 0.5× 30 966
Philipp A. Greif Germany 19 718 1.2× 215 0.5× 696 1.8× 216 0.6× 97 0.5× 59 1.4k
Cristiana Carniti Italy 21 396 0.6× 116 0.3× 392 1.0× 169 0.5× 245 1.3× 59 1.2k
Yvona Brychtová Czechia 19 422 0.7× 159 0.4× 221 0.6× 704 2.1× 450 2.4× 71 1.2k
Rhonda E. Ries United States 16 605 1.0× 183 0.4× 652 1.7× 135 0.4× 41 0.2× 105 1.0k
Spyros Skoulakis United Kingdom 8 465 0.8× 272 0.6× 300 0.8× 136 0.4× 76 0.4× 10 770

Countries citing papers authored by Constance Baer

Since Specialization
Citations

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

Fields of papers citing papers by Constance Baer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Constance Baer

This figure shows the co-authorship network connecting the top 25 collaborators of Constance Baer. A scholar is included among the top collaborators of Constance Baer 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 Constance Baer. Constance Baer 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.
Rinke, Jenny, Andrew J. Walter, Manja Meggendorfer, et al.. (2025). Molecular predictors of venous and arterial thrombotic events in patients with myelofibrosis. Annals of Hematology. 104(5). 2755–2763.
2.
Ecker, Veronika, Sandra Huber, Wencke Walter, et al.. (2024). Phenotypic and Genetic Heterogeneity of NPM1 Mutated AML at Diagnosis and during Course of Disease. Blood. 144(Supplement 1). 6118–6118.
3.
Marcinek, Anetta, Constance Baer, Stephan Hütter, et al.. (2024). Clonal Hematopoiesis Can Precede AML with Defining Cytogenetic Abnormalities - the Frequencies Vary Considerably. Blood. 144(Supplement 1). 4318–4318. 1 indexed citations
4.
Huber, Sandra, Torsten Haferlach, Stephan Hütter, et al.. (2024). Parallel genomic analysis from paired bone marrow and peripheral blood samples of 200 cytopenic patients. Leukemia. 38(7). 1626–1629. 3 indexed citations
5.
Stengel, Anna, Torsten Haferlach, Constance Baer, et al.. (2023). Specific subtype distribution with impact on prognosis of TP53 single-hit and double-hit events in AML and MDS. Blood Advances. 7(13). 2952–2956. 16 indexed citations
6.
Baumgartner, Francis, Constance Baer, Stefanos A. Bamopoulos, et al.. (2023). Comparing malignant monocytosis across the updated WHO and ICC classifications of 2022. Blood. 143(12). 1139–1156. 10 indexed citations
7.
Maierhofer, Anna, Nikita Mehta, Ryan A. Chisholm, et al.. (2023). The clinical and genomic landscape of patients with DDX41 variants identified during diagnostic sequencing. Blood Advances. 7(23). 7346–7357. 9 indexed citations
8.
Huber, Sandra, Torsten Haferlach, Manja Meggendorfer, et al.. (2023). Parallel Genomic Analysis from Paired Bone Marrow and Peripheral Blood Samples of 200 Cytopenic Patients. Blood. 142(Supplement 1). 198–198.
9.
Huber, Sandra, Constance Baer, Stephan Hütter, et al.. (2023). AML classification in the year 2023: How to avoid a Babylonian confusion of languages. Leukemia. 37(7). 1413–1420. 32 indexed citations
10.
Huber, Sandra, Torsten Haferlach, Manja Meggendorfer, et al.. (2022). SF3B1 mutated MDS: Blast count, genetic co-abnormalities and their impact on classification and prognosis. Leukemia. 36(12). 2894–2902. 18 indexed citations
11.
Hoermann, Gregor, Manja Meggendorfer, Constance Baer, et al.. (2021). Whole Genome Sequencing Identifies Non-KIT Mutations and Cytogenetic Aberrations in Systemic Mastocytosis but Has Limited Sensitivity for Detection of KIT D816V. Blood. 138(Supplement 1). 1495–1495.
12.
13.
Wojtuszkiewicz, Anna, Inge van der Werf, Stephan Hütter, et al.. (2021). Maturation State-Specific Alternative Splicing in FLT3-ITD and NPM1 Mutated AML. Cancers. 13(16). 3929–3929. 4 indexed citations
14.
Werf, Inge van der, Anna Wojtuszkiewicz, Manja Meggendorfer, et al.. (2021). Splicing factor gene mutations in acute myeloid leukemia offer additive value if incorporated in current risk classification. Blood Advances. 5(17). 3254–3265. 23 indexed citations
15.
Hershberger, Courtney E., Vera Ademà, Cassandra M Kerr, et al.. (2020). Complex landscape of alternative splicing in myeloid neoplasms. Leukemia. 35(4). 1108–1120. 37 indexed citations
16.
Baer, Constance, Wencke Walter, Stephan Hütter, et al.. (2019). “Somatic” and “pathogenic” - is the classification strategy applicable in times of large-scale sequencing?. Haematologica. 104(8). 1515–1520. 8 indexed citations
17.
18.
Baer, Constance, Wolfgang Kern, Niroshan Nadarajah, et al.. (2016). Ultra-deep sequencing leads to earlier and more sensitive detection of the tyrosine kinase inhibitor resistance mutation T315I in chronic myeloid leukemia. Haematologica. 101(7). 830–838. 34 indexed citations
19.
Baer, Constance, Rainer Claus, Lukas P. Frenzel, et al.. (2012). Extensive Promoter DNA Hypermethylation and Hypomethylation Is Associated with Aberrant MicroRNA Expression in Chronic Lymphocytic Leukemia. Cancer Research. 72(15). 3775–3785. 109 indexed citations
20.
Baer, Constance, et al.. (2012). Enrichment of Methylated DNA by Methyl-CpG Immunoprecipitation. Methods in molecular biology. 971. 201–212. 13 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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