Jan Maahr

21 total papers · 969 total citations
19 papers, 798 citations indexed

About

Jan Maahr is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Jan Maahr has authored 19 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 11 papers in Molecular Biology and 10 papers in Plant Science. Recurrent topics in Jan Maahr's work include Genomic variations and chromosomal abnormalities (15 papers), Chromosomal and Genetic Variations (10 papers) and Prenatal Screening and Diagnostics (7 papers). Jan Maahr is often cited by papers focused on Genomic variations and chromosomal abnormalities (15 papers), Chromosomal and Genetic Variations (10 papers) and Prenatal Screening and Diagnostics (7 papers). Jan Maahr collaborates with scholars based in Denmark, Germany and India. Jan Maahr's co-authors include Tommy Gerdes, Claes Lundsteen, Hanne Rose, Maria Kirchhoff, Anne Marie Ottesen, Thue Bryndorf, Martin Bentz, John Philip, Bodil Laub Petersen and Lise Christensen and has published in prestigious journals such as European Journal of Human Genetics, Genes Chromosomes and Cancer and Cytometry.

In The Last Decade

Jan Maahr

19 papers receiving 772 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jan Maahr 498 332 254 172 171 19 798
J. L. M. Beck 292 0.6× 434 1.3× 130 0.5× 211 1.2× 98 0.6× 17 935
Jack L. Spurbeck 330 0.7× 330 1.0× 164 0.6× 77 0.4× 112 0.7× 25 1.0k
M. Sagi 491 1.0× 314 0.9× 48 0.2× 102 0.6× 128 0.7× 22 753
Kumi Nakazaki 315 0.6× 544 1.6× 55 0.2× 151 0.9× 68 0.4× 33 993
Markus J. van Roosmalen 352 0.7× 644 1.9× 151 0.6× 340 2.0× 59 0.3× 26 1.0k
Anne Marie Ottesen 389 0.8× 370 1.1× 70 0.3× 109 0.6× 71 0.4× 15 731
Manfred Bauchinger 232 0.5× 364 1.1× 108 0.4× 253 1.5× 37 0.2× 25 849
Elena Kolomietz 266 0.5× 304 0.9× 104 0.4× 58 0.3× 222 1.3× 23 730
Katherine L. Harper 301 0.6× 414 1.2× 52 0.2× 100 0.6× 68 0.4× 23 1.0k
Lydia E. McMorrow 320 0.6× 505 1.5× 110 0.4× 80 0.5× 137 0.8× 22 699

Countries citing papers authored by Jan Maahr

Since Specialization
Citations

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

Fields of papers citing papers by Jan Maahr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Maahr

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Maahr. A scholar is included among the top collaborators of Jan Maahr 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 Jan Maahr. Jan Maahr is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026