Michael Wittig

6.2k citations
28 papers · 1.2k · h-index 15

Impact in

  • Aging top 2%
  • Genetics top 5%
    • Genomic variations and chromosomal abnormalities
    • Genomics and Rare Diseases
    • Genetics and Neurodevelopmental Disorders
    • Forensic and Genetic Research

Papers in

    • Genomic variations and chromosomal abnormalities 5
    • Genetic and phenotypic traits in livestock 4
    • Genetic diversity and population structure 4
    • Genetic Mapping and Diversity in Plants and Animals 4
    • Genomics and Rare Diseases 4
    • Genetic Associations and Epidemiology 3
    • RNA modifications and cancer 4
    • RNA Research and Splicing 3

Michael Wittig

28 papers receiving 1.2k citations

Peers

Michael Wittig
Comparison fields: 5 of 111
  • Aging 92
  • Genetics 504
  • Molecular Biology 670
  • Plant Science 211
  • Psychiatry and Mental health 69
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Citations per field
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Citations per year

Countries citing papers authored by Michael Wittig

Since Specialization
Citations

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

Fields of papers citing papers by Michael Wittig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Wittig, 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 Michael Wittig Line = papers co-authored together Michael Wittig links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006269
2 2009168
3 2011161
4 2011153
5 2001110
6 201647
7 201538
8 201533
9 200226
10 200922
11 201118
12 201218
13 202016
14 200614
15 201614
16 202213
17 200712
18 202212
19 201712
20 201011

About Michael Wittig

Michael Wittig is a scholar working on Genetics, Molecular Biology, Cancer Research, Cellular and Molecular Neuroscience and Hematology, having authored 28 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (5 papers), Genetic and phenotypic traits in livestock (4 papers), Genetic diversity and population structure (4 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), RNA modifications and cancer (4 papers), Genomics and Rare Diseases (4 papers), RNA Research and Splicing (3 papers) and Genetic Associations and Epidemiology (3 papers). The work is most often cited by research in Aging (92 citations), Genetics (504 citations), Molecular Biology (670 citations), Plant Science (211 citations) and Psychiatry and Mental health (69 citations). Michael Wittig has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Michael Krawczak, André Franke, Jochen Hampe, D.N. Cooper, Matthew Mort, Nick Thomas, Andreas Hellmann, H. Schmitter, Philip Rosenstiel and Matthias Barann. Their work appears in journals such as Human Mutation, Nucleic Acids Research, Brain Communications, Aging and Human Molecular 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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