Udo Trautmann

2.9k citations
65 papers · 1.7k · h-index 23

Impact in

Papers in

    • Genomic variations and chromosomal abnormalities 35
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 4
    • Congenital heart defects research 8
    • Genomics and Chromatin Dynamics 7

Udo Trautmann

62 papers receiving 1.7k citations

Peers

Udo Trautmann
Comparison fields: 5 of 82
  • Genetics 982
  • Pediatrics, Perinatology and Child Health 267
  • Molecular Biology 836
  • Hematology 88
  • Genetics 80
Replace Ikuko Teshima with:
Ikuko Teshima Canada
Mitsuo Masuno Japan
Palma Finelli Italy
Holger Tönnies Germany
S Malcolm United Kingdom
Kwame Anyane‐Yeboa United States
Willy M. Nillesen Netherlands
Alan Shanske United States
Teresa Mattina Italy
Roberto Ciccone Italy
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Citations per field
00.5×3.8×
Ikuko Teshima · 1×
Citations per year

Countries citing papers authored by Udo Trautmann

Since Specialization
Citations

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

Fields of papers citing papers by Udo Trautmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006290
2 200999
3 199491
4 201185
5 200184
6 199274
7 200366
8 201759
9 200756
10 201856
11 199651
12 199851
13 200142
14 200741
15 200032
16 200029
17 200729
18 200628
19 200324
20 199224

About Udo Trautmann

Udo Trautmann is a scholar working on Genetics, Molecular Biology, Plant Science, Pediatrics, Perinatology and Child Health and Genetics, having authored 65 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (35 papers), Chromosomal and Genetic Variations (17 papers), Prenatal Screening and Diagnostics (12 papers), Congenital heart defects research (8 papers), Acute Lymphoblastic Leukemia research (8 papers), Acute Myeloid Leukemia Research (7 papers), Genomics and Chromatin Dynamics (7 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (4 papers). The work is most often cited by research in Genetics (982 citations), Pediatrics, Perinatology and Child Health (267 citations), Molecular Biology (836 citations), Hematology (88 citations) and Genetics (80 citations). Udo Trautmann has collaborated with scholars based in Germany, Switzerland and United Kingdom. Frequent co-authors include Anita Rauch, André Reis, Cornelia Kraus, Martin Zenker, Christiane Zweier, Christian T. Thiel, Rudolf A. Pfeiffer, Thomas Liehr, R. Ulmer and Juliane Hoyer. Their work appears in journals such as European Journal of Medical Genetics, Clinical Genetics, Prenatal Diagnosis, International Journal of Oncology and Journal of Medical 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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