Peter Krawitz

11.7k citations
110 papers · 3.9k · 1 hit paper · h-index 31

Impact in

Papers in

    • Genomics and Phylogenetic Studies 7
    • Biochemical and Molecular Research 6
    • Genomics and Rare Diseases 24
    • Genetic Associations and Epidemiology 14
    • Genomic variations and chromosomal abnormalities 11
    • Genetics and Neurodevelopmental Disorders 6

Peter Krawitz

107 papers receiving 3.8k citations

Peter Krawitz's Hit Papers

Identifying facial phenotypes of genetic disorders using deep learning 2018 · 456 citations
4560+2+5Years since publication100200300400

Peers

Peter Krawitz
Comparison fields: 5 of 159
  • Genetics 1.2k
  • Health Informatics 60
  • Molecular Biology 2.0k
  • Aging 48
  • Developmental Biology 54
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Peter Krawitz relative to Peter D. Stenson United Kingdom Peter D. Stenson's profile →
Citations per field
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Peter D. Stenson · 1×
Citations per year

Countries citing papers authored by Peter Krawitz

Since Specialization
Citations

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

Fields of papers citing papers by Peter Krawitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Identifying facial phenotypes of genetic disorders using deep learning
Hit paper breakdown →
2018456
2 2013404
3 2009375
4 2013226
5 2012114
6 201390
7 201287
8 201484
9 201377
10 200577
11 201076
12 201170
13 200770
14 201270
15 196865
16 201361
17 201554
18 202048
19 196748
20 201547

About Peter Krawitz

Peter Krawitz is a scholar working on Molecular Biology, Genetics, Physiology, Epidemiology and Cancer Research, having authored 110 papers that have together received 3.9k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (24 papers), Genetic Associations and Epidemiology (14 papers), Genomic variations and chromosomal abnormalities (11 papers), Cancer Genomics and Diagnostics (8 papers), Lysosomal Storage Disorders Research (7 papers), Genomics and Phylogenetic Studies (7 papers), Biochemical and Molecular Research (6 papers) and Genetics and Neurodevelopmental Disorders (6 papers). The work is most often cited by research in Genetics (1.2k citations), Health Informatics (60 citations), Molecular Biology (2.0k citations), Aging (48 citations) and Developmental Biology (54 citations). Peter Krawitz has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Peter N. Robinson, Stefan Mundlos, Jochen Hecht, Denise Horn, Sebastian Bauer, Christian Haass, Bettina Schmid, Verena Heinrich, Alexander Hruscha and Sebastian Köhler. Their work appears in journals such as European Journal of Human Genetics, Bioinformatics, Blood, The American Journal of Human Genetics and Human Mutation.

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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