Mea Andersson

561 citations
7 papers · 507 · h-index 7

Impact in

  • Genetics top 5%
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
    • Genetic Associations and Epidemiology
    • Genomic variations and chromosomal abnormalities
    • Genetic diversity and population structure
    • Sperm and Testicular Function

Papers in

    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 5
    • Genomic variations and chromosomal abnormalities 1
    • Genetic Associations and Epidemiology 1
    • Chromosomal and Genetic Variations 1

Mea Andersson

7 papers receiving 456 citations

Peers

Mea Andersson
Comparison fields: 5 of 29
  • Genetics 373
  • Reproductive Medicine 75
  • Transplantation 22
  • Molecular Biology 106
  • Immunology 24
Replace Christina Kelbova with:
Christina Kelbova Germany
S. McBeath United Kingdom
Norio Miharu Japan
Sophie Mazeyrat France
Ellen Markljung Sweden
Roberto Coco Argentina
Steen K�lvraa Denmark
Helmut Heilbronner Germany
Monika Ziegler Germany
G Vaca Mexico
Mea Andersson relative to Christina Kelbova Germany Christina Kelbova's profile →
Citations per field
00.5×5×11×
Christina Kelbova · 1×
Citations per year

Countries citing papers authored by Mea Andersson

Since Specialization
Citations

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

Fields of papers citing papers by Mea Andersson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Mea Andersson, 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 Mea Andersson Line = papers co-authored together Mea Andersson links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 1985141
2 1986111
3 1988111
4 199081
5 199047
6
An XXX male resulting from paternal X-Y interchange and maternal X-X nondisjunction.
19878
7 19888

About Mea Andersson

Mea Andersson is a scholar working on Genetics, Plant Science, Molecular Biology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 7 papers that have together received 507 indexed citations. Recurring topics across this work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers), vaccines and immunoinformatics approaches (1 paper), Genomic variations and chromosomal abnormalities (1 paper), Genetic Associations and Epidemiology (1 paper) and Chromosomal and Genetic Variations (1 paper). The work is most often cited by research in Genetics (373 citations), Reproductive Medicine (75 citations), Transplantation (22 citations), Molecular Biology (106 citations) and Immunology (24 citations). Mea Andersson has collaborated with scholars based in United States, Finland and Sweden. Frequent co-authors include Albert de la Chapelle, David C. Page, Jan Böhme, Per A. Peterson, E Möller, Lars Rask, Jean Weissenbach, François Rouyer, Dorothy Pettay and JEAN DE GROUCHY. Their work appears in journals such as Human Genetics, The Journal of Immunology, Science, Genomics and The EMBO Journal.

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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