Peter Krawitz

11.4k total citations · 1 hit paper
105 papers, 3.5k citations indexed

About

Peter Krawitz is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Peter Krawitz has authored 105 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 50 papers in Genetics and 15 papers in Physiology. Recurrent topics in Peter Krawitz's work include Genomics and Rare Diseases (29 papers), Genomic variations and chromosomal abnormalities (15 papers) and Genetic Associations and Epidemiology (13 papers). Peter Krawitz is often cited by papers focused on Genomics and Rare Diseases (29 papers), Genomic variations and chromosomal abnormalities (15 papers) and Genetic Associations and Epidemiology (13 papers). Peter Krawitz collaborates with scholars based in Germany, United States and United Kingdom. Peter Krawitz's co-authors include Peter N. Robinson, Stefan Mundlos, Jochen Hecht, Sebastian Bauer, Denise Horn, Verena Heinrich, Christian Haass, Bettina Schmid, Alexander Hruscha and Sebastian Köhler and has published in prestigious journals such as Physical Review Letters, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Peter Krawitz

102 papers receiving 3.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Identifying facial phenotypes of genetic disorders using deep learning

2018 411 citations Guy Nadav, Nicole Fleischer et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Peter Krawitz Germany	30	2.1k	1.3k	335	321	309	105	3.5k
Denise Horn Germany	37	3.9k 1.9×	3.0k 2.3×	293 0.9×	359 1.1×	470 1.5×	134	6.1k
Eric M. Sobel United States	24	1.9k 0.9×	1.9k 1.4×	244 0.7×	338 1.1×	374 1.2×	74	4.2k
Chunlei Wu United States	24	2.7k 1.3×	1.0k 0.8×	336 1.0×	265 0.8×	706 2.3×	58	4.5k
Martin G. Reese United States	20	2.9k 1.4×	1.4k 1.1×	175 0.5×	124 0.4×	227 0.7×	25	4.4k
Gen Tamiya Japan	31	1.2k 0.6×	763 0.6×	371 1.1×	276 0.9×	170 0.6×	129	3.4k
Paul Shannon United States	23	3.0k 1.5×	1.6k 1.3×	206 0.6×	323 1.0×	155 0.5×	43	4.8k
Matt W. Wright United Kingdom	24	2.3k 1.1×	992 0.8×	216 0.6×	180 0.6×	523 1.7×	31	4.4k
Ronald D. Cohn Canada	29	1.7k 0.8×	1.7k 1.3×	145 0.4×	228 0.7×	234 0.8×	76	4.0k
P. Naresh Kumar United States	5	3.7k 1.8×	2.5k 1.9×	312 0.9×	279 0.9×	403 1.3×	7	6.5k

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-authorship network of co-authors of Peter Krawitz

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Alsamman, Alsamman M., et al.. (2025). Identification of novel proteomic biomarkers for hypertension: a targeted approach for precision medicine. Clinical Proteomics. 22(1). 7–7. 2 indexed citations

Stoffel‐Wagner, Birgit, Peter Krawitz, Peter Stehle, et al.. (2024). Impact of Synbiotic Intake on Liver Metabolism in Metabolically Healthy Participants and Its Potential Preventive Effect on Metabolic-Dysfunction-Associated Fatty Liver Disease (MAFLD): A Randomized, Placebo-Controlled, Double-Blinded Clinical Trial. Nutrients. 16(9). 1300–1300. 5 indexed citations

Mertes, Silvan, et al.. (2024). GANonymization: A GAN-Based Face Anonymization Framework for Preserving Emotional Expressions. ACM Transactions on Multimedia Computing Communications and Applications. 21(1). 1–27. 8 indexed citations

Duong, Dat, Ping Hu, Behnam Javanmardi, et al.. (2024). Comparison of clinical geneticist and computer visual attention in assessing genetic conditions. PLoS Genetics. 20(2). e1011168–e1011168. 2 indexed citations

Chandler, Kate, Andrew Fennell, Tzung‐Chien Hsieh, et al.. (2024). Seven Novel Variants of Weiss‐Kruszka Syndrome and Phenotype Expansion. American Journal of Medical Genetics Part A. 197(2). e63856–e63856.

Frank, Julia, et al.. (2023). Understanding recessive disease risk in multi‐ethnic populations with different degrees of consanguinity. American Journal of Medical Genetics Part A. 194(3). e63452–e63452.

Sivalingam, Sugirthan, Lara M. Hochfeld, Oleg Borisov, et al.. (2023). Analysis of 72,469 UK Biobank exomes links rare variants to male-pattern hair loss. Nature Communications. 14(1). 5492–5492. 8 indexed citations

Hsieh, Tzung‐Chien, Hellen Lesmann, & Peter Krawitz. (2023). Facilitating the Molecular Diagnosis of Rare Genetic Disorders Through Facial Phenotypic Scores. Current Protocols. 3(10). e906–e906. 2 indexed citations

Ashton, Katie A., Ying Zhu, Futao Zhang, et al.. (2023). Integration of EpiSign, facial phenotyping, and likelihood ratio interpretation of clinical abnormalities in the re‐classification of an ARID1B missense variant. American Journal of Medical Genetics Part C Seminars in Medical Genetics. 193(3). e32056–e32056. 3 indexed citations

10.

Gausche, Ruth, Tzung‐Chien Hsieh, Markus M. Nöthen, et al.. (2023). Deeplasia: deep learning for bone age assessment validated on skeletal dysplasias. Pediatric Radiology. 54(1). 82–95. 14 indexed citations

11.

Hsieh, Tzung‐Chien & Peter Krawitz. (2023). Computational facial analysis for rare Mendelian disorders. American Journal of Medical Genetics Part C Seminars in Medical Genetics. 193(3). e32061–e32061. 5 indexed citations

12.

Javanmardi, Behnam, et al.. (2023). Improving Deep Facial Phenotyping for Ultra-rare Disorder Verification Using Model Ensembles. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 5007–5017. 8 indexed citations

13.

Weinhold, Leonie, Axel Schmidt, Manuel Holtgrewe, et al.. (2022). Prioritization of non-coding elements involved in non-syndromic cleft lip with/without cleft palate through genome-wide analysis of de novo mutations. Human Genetics and Genomics Advances. 4(1). 100166–100166. 2 indexed citations

14.

Schmid, Alexander, Ashar Ahmad, Alexej Knaus, et al.. (2021). CADA: phenotype-driven gene prioritization based on a case-enriched knowledge graph. NAR Genomics and Bioinformatics. 3(3). lqab078–lqab078. 15 indexed citations

15.

Krawitz, Peter, Ulrike Krüger, Sandra Appelt, et al.. (2014). Screening for single nucleotide variants, small indels and exon deletions with a next‐generation sequencing based gene panel approach for U sher syndrome. Molecular Genetics & Genomic Medicine. 2(5). 393–401. 22 indexed citations

16.

Roncarati, Roberta, Chiara Viviani Anselmi, Peter Krawitz, et al.. (2013). Doubly heterozygous LMNA and TTN mutations revealed by exome sequencing in a severe form of dilated cardiomyopathy. European Journal of Human Genetics. 21(10). 1105–1111. 73 indexed citations

17.

Horn, Denise, Dagmar Wieczorek, Kay Metcalfe, et al.. (2013). Delineation of PIGV mutation spectrum and associated phenotypes in hyperphosphatasia with mental retardation syndrome. European Journal of Human Genetics. 22(6). 762–767. 31 indexed citations

18.

Heinrich, Verena, Jens Stange, Thorsten Dickhaus, et al.. (2011). The allele distribution in next-generation sequencing data sets is accurately described as the result of a stochastic branching process. Nucleic Acids Research. 40(6). 2426–2431. 30 indexed citations

19.

Köhler, Sebastian, Marcel H. Schulz, Peter Krawitz, et al.. (2009). Clinical Diagnostics in Human Genetics with Semantic Similarity Searches in Ontologies. The American Journal of Human Genetics. 85(4). 457–464. 349 indexed citations

20.

Lynch, Sean, et al.. (1968). Effects of Iron Overload on Ascorbic Acid Metabolism. BMJ. 3(5620). 704–707. 56 indexed citations

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