M. Münke

910 citations
16 papers · 747 · h-index 12

Impact in

Papers in

    • Genomics and Chromatin Dynamics 5
    • Hedgehog Signaling Pathway Studies 3
    • RNA Research and Splicing 2
    • Genetics and Neurodevelopmental Disorders 2
    • Genomic variations and chromosomal abnormalities 2

M. Münke

16 papers receiving 704 citations

Peers

M. Münke
Comparison fields: 5 of 74
  • Developmental Biology 36
  • Rheumatology 177
  • Genetics 319
  • Clinical Biochemistry 65
  • Molecular Biology 435
Replace Fortunato Lonardo with:
Fortunato Lonardo Italy
Luís Garcia Alonso Brazil
Dorothea Bornholdt Germany
Muneera Alshammari Saudi Arabia
Fatema Alzahrani Saudi Arabia
Jorge Magallon United States
Jawahir Y. Mohamed Saudi Arabia
Dana Fuchs‐Telem Israel
Chikara Kokubu Japan
M. Münke relative to Fortunato Lonardo Italy Fortunato Lonardo's profile →
Citations per field
00.5×4.6×
Fortunato Lonardo · 1×
Citations per year

Countries citing papers authored by M. Münke

Since Specialization
Citations

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

Fields of papers citing papers by M. Münke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M. Münke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Münke Line = papers co-authored together M. Münke links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1986169
2
The gene for cystathionine beta-synthase (CBS) maps to the subtelomeric region on human chromosome 21q and to proximal mouse chromosome 17.
1988111
3 198984
4 199082
5 198665
6 197963
7 198835
8 198833
9 198727
10 198624
11 198518
12 197916
13
Regional assignment of six polymorphic DNA sequences on chromosome 21 by in situ hybridization to normal and rearranged chromosomes.
198811
14 19985
15 20083
16 20081

About M. Münke

M. Münke is a scholar working on Molecular Biology, Genetics, Rheumatology, Oncology and Biotechnology, having authored 16 papers that have together received 747 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), Hedgehog Signaling Pathway Studies (3 papers), Folate and B Vitamins Research (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Cancer-related Molecular Pathways (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Developmental Biology (36 citations), Rheumatology (177 citations), Genetics (319 citations), Clinical Biochemistry (65 citations) and Molecular Biology (435 citations). M. Münke has collaborated with scholars based in United States, Germany and Tanzania. Frequent co-authors include Uta Francke, Jan P. Kraus, Elaine H. Zackai, H. Schmiady, Derek Murphy, B L Hogan, Rosemary W. Elliott, T. Ohura, Ivor Mason and Karl Sperling. Their work appears in journals such as Proceedings of the National Academy of Sciences, The EMBO Journal, Journal of Molecular Evolution, Experimental Cell Research and Human Genetics.

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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