Sylvia Merk

973 total citations
27 papers, 741 citations indexed

About

Sylvia Merk is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Sylvia Merk has authored 27 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Hematology and 5 papers in Genetics. Recurrent topics in Sylvia Merk's work include Gene expression and cancer classification (9 papers), Acute Myeloid Leukemia Research (6 papers) and Chronic Lymphocytic Leukemia Research (3 papers). Sylvia Merk is often cited by papers focused on Gene expression and cancer classification (9 papers), Acute Myeloid Leukemia Research (6 papers) and Chronic Lymphocytic Leukemia Research (3 papers). Sylvia Merk collaborates with scholars based in Germany, Switzerland and United States. Sylvia Merk's co-authors include Martin Dugas, Gerhard Steinbeck, Ludwig Zwermann, Stefan Kääb, Michael Näbauer, Andreas S. Barth, E. Kreuzer, Klaus Steinmeyer, Markus Bleich and Mathias Gebauer and has published in prestigious journals such as Blood, Bioinformatics and Journal of the American College of Cardiology.

In The Last Decade

Sylvia Merk

26 papers receiving 728 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sylvia Merk Germany 10 448 285 128 90 54 27 741
Beata Burzyńska Poland 15 263 0.6× 108 0.4× 136 1.1× 18 0.2× 28 0.5× 46 551
Marian L. Burr United Kingdom 11 541 1.2× 63 0.2× 110 0.9× 33 0.4× 23 0.4× 13 860
John H. Cleator United States 9 207 0.5× 159 0.6× 44 0.3× 147 1.6× 44 0.8× 19 503
Maria Nyåkern Italy 7 426 1.0× 55 0.2× 62 0.5× 173 1.9× 55 1.0× 11 585
Ken Sin Lo Canada 12 400 0.9× 107 0.4× 53 0.4× 70 0.8× 43 0.8× 20 745
Choong-Chin Liew Canada 13 569 1.3× 317 1.1× 80 0.6× 12 0.1× 16 0.3× 15 844
J E Saffitz United States 9 200 0.4× 59 0.2× 47 0.4× 67 0.7× 24 0.4× 9 422
Olivier Alibert France 15 426 1.0× 40 0.1× 73 0.6× 25 0.3× 42 0.8× 24 751
Solenne Marmier France 11 467 1.0× 74 0.3× 38 0.3× 37 0.4× 33 0.6× 15 776
Raymond J. Peroutka United States 11 487 1.1× 113 0.4× 68 0.5× 12 0.1× 30 0.6× 12 631

Countries citing papers authored by Sylvia Merk

Since Specialization
Citations

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

Fields of papers citing papers by Sylvia Merk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sylvia Merk

This figure shows the co-authorship network connecting the top 25 collaborators of Sylvia Merk. A scholar is included among the top collaborators of Sylvia Merk 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 Sylvia Merk. Sylvia Merk 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.
Rückert, Christian, Bernd Hubner, Vera Binder, et al.. (2012). CD34+ gene expression profiling of individual children with very severe aplastic anemia indicates a pathogenic role of integrin receptors and the proapoptotic death ligand TRAIL. Haematologica. 97(9). 1304–1311. 9 indexed citations
2.
Zaťková, Andrea, Sylvia Merk, Martin Bilban, et al.. (2009). AML/MDS with 11q/MLL amplification show characteristic gene expression signature and interplay of DNA copy number changes. Genes Chromosomes and Cancer. 48(6). 510–520. 21 indexed citations
3.
Isken, Fabienne, Björn Steffen, Sylvia Merk, et al.. (2007). Identification of acute myeloid leukaemia associated microRNA expression patterns. British Journal of Haematology. 140(2). 153–161. 59 indexed citations
4.
5.
Frank, Oliver, Benedikt Brors, Alice Fabarius, et al.. (2006). Gene expression signature of primary imatinib-resistant chronic myeloid leukemia patients. Leukemia. 20(8). 1400–1407. 85 indexed citations
6.
Merk, Sylvia, Helmut E. Meyer, I. Greiser‐Wilke, Lisa D. Sprague, & Heinrich Neubauer. (2006). Detection of Burkholderia cepacia DNA from Artificially Infected EDTA‐blood and Lung Tissue Comparing Different DNA Isolation Methods. Journal of Veterinary Medicine Series B. 53(6). 281–285. 17 indexed citations
7.
Barth, Andreas S., Ruprecht Kuner, Andreas Buneß, et al.. (2006). Identification of a Common Gene Expression Signature in Dilated Cardiomyopathy Across Independent Microarray Studies. Journal of the American College of Cardiology. 48(8). 1610–1617. 137 indexed citations
8.
Merk, Sylvia, Elisabeth Arnoldi, Ludwig Zwermann, et al.. (2005). Functional profiling of human atrial and ventricular gene expression. Pflügers Archiv - European Journal of Physiology. 450(4). 201–208. 84 indexed citations
9.
Barth, Andreas S., Sylvia Merk, Elisabeth Arnoldi, et al.. (2005). Reprogramming of the Human Atrial Transcriptome in Permanent Atrial Fibrillation. Circulation Research. 96(9). 1022–1029. 172 indexed citations
10.
Kohlmann, Alexander, Claudia Schoch, Susanne Schnittger, et al.. (2004). Transcriptional Profiling Identifies Genes Differentially Regulated by the BCR/ABL Fusion Oncogene.. Blood. 104(11). 1537–1537. 2 indexed citations
11.
12.
Dugas, Martin, Sylvia Merk, Stephen Breit, & P. Dirschedl. (2004). mdclust—exploratory microarray analysis by multidimensional clustering. Bioinformatics. 20(6). 931–936. 9 indexed citations
13.
Kern, Wolfgang, Claudia Schoch, Alexander Kohlmann, et al.. (2004). Identification of Biologically Distinct and Clinically Relevant Subentities in Patients with Acute Myeloid Leukemia and Normal Karyotypes by Use of Gene Expression Profiling.. Blood. 104(11). 195–195. 2 indexed citations
14.
Barth, Andreas S., Daniel Margerie, Martin Dugas, et al.. (2004). Global gene expression in human myocardium?oligonucleotide microarray analysis of regional diversity and transcriptional regulation in heart failure. Journal of Molecular Medicine. 82(5). 308–316. 66 indexed citations
15.
Kohlmann, Alexander, Claudia Schoch, Susanne Schnittger, et al.. (2004). Microarrays Are a Robust Platform Suitable for Diagnostics.. Blood. 104(11). 2038–2038. 1 indexed citations
16.
17.
Haferlach, Torsten, Alexander Kohlmann, Susanne Schnittger, et al.. (2004). All Clinically Relevant Leukemia Subtypes Can Be Diagnosed and Classified Based Solely on Gene Expression Profiling with an Accuracy of 95.1%: A Study on 1337 Adult Patients.. Blood. 104(11). 143–143. 1 indexed citations
18.
Müller, Beate, Sylvia Merk, Ulrich Bürgi, & Peter Diem. (2001). [Calculating the basal metabolic rate and severe and morbid obesity].. PubMed. 90(45). 1955–63. 5 indexed citations
19.
Merk, Sylvia, et al.. (2001). Comparison of different methods for the isolation of Burkholderia cepacia DNA from pure cultures and waste water. International Journal of Hygiene and Environmental Health. 204(2-3). 127–131. 12 indexed citations
20.
Maier, H., et al.. (1989). Excretion of cadmium in rat parotid saliva.. PubMed. 27(4). 241–3. 3 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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