Jan Maahr

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 Niels Kryger‐Baggesen 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

Peers

Jan Maahr
Comparison fields: 5 of 54
  • Genetics 498
  • Molecular Biology 332
  • Plant Science 254
  • Cancer Research 172
  • Pediatrics, Perinatology and Child Health 171
Replace Bryan Chi with:
Bryan Chi Canada
Ilse Chudoba Germany
Mark A. Micale United States
Lydia E. McMorrow United States
Barbara Hutter Germany
Paulina Paavola Finland
Peter C. Verlander United States
Rüdiger G. Steinbeck Sweden
F Chavin-Colin France
Christine R. Bryke United States
Bryan Chi Canada View profile →
Citations per field, relative to Jan Maahr
Jan Maahr · 1×
Citations per year, relative to Jan Maahr
Jan Maahr · 1×

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

19 of 19 papers shown
# Work Indexed citations
1 37
2 38
3 5
4 107
5 119
6 10
7 144
8 42
9 2
10 31
11 2
12 49
13 62
14
Comparative genomic hybridization in clinical cytogenetics.
94
15 1
16 4
17 7
18
Clinical performance of a system for semiautomated chromosome analysis.
16
19 28

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