Sylvia Merk

973 citations
27 papers · 741 indexed · h-index 10
Topics
Gene expression and cancer classification (9 papers)Acute Myeloid Leukemia Research (6 papers)Chronic Lymphocytic Leukemia Research (3 papers)

In The Last Decade

Sylvia Merk

26 papers receiving 728 citations

Peers

Sylvia Merk
Comparison fields: 5 of 88
  • Molecular Biology 448
  • Cardiology and Cardiovascular Medicine 285
  • Cancer Research 128
  • Hematology 90
  • Genetics 54
Replace Marian L. Burr with:
Marian L. Burr United Kingdom
Beata Burzyńska Poland
Shengyong Yang China
Choong-Chin Liew Canada
John H. Cleator United States
Alexandra C. Chadwick United States
Solenne Marmier France
J E Saffitz United States
Maria Nyåkern Italy
Ken Sin Lo Canada
Sylvia Merk relative to Marian L. Burr United Kingdom Marian L. Burr's profile →
Citations per field
00.5×4.5×
Marian L. Burr · 1×
Citations per year

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
#WorkIndexed citations
1 9
2 21
3 59
4 85
5 17
6 137
7 84
8 172
9 9
10 4
11 1
12 2
13 66
14 2
15 1
16 1
17 1
18 12
19
[Calculating the basal metabolic rate and severe and morbid obesity].
5
20
Excretion of cadmium in rat parotid saliva.
3

About Sylvia Merk

Sylvia Merk is a scholar working on Hematology, Genetics and Molecular Biology, having authored 27 papers that have together received 741 indexed citations. Recurring topics across this work include Gene expression and cancer classification (9 papers), Acute Myeloid Leukemia Research (6 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (285 citations), Cancer Research (128 citations) and Hematology (90 citations). Sylvia Merk has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Martin Dugas, Gerhard Steinbeck, Ludwig Zwermann, Michael Näbauer, Stefan Kääb, Andreas S. Barth, E. Kreuzer, Markus Bleich, Mathias Gebauer and Klaus Steinmeyer. Their work appears in journals such as Blood, Bioinformatics and Journal of the American College of Cardiology.

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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