Anne Slavotinek

11.1k total citations
205 papers, 4.8k citations indexed

About

Anne Slavotinek is a scholar working on Genetics, Molecular Biology and Surgery. According to data from OpenAlex, Anne Slavotinek has authored 205 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Genetics, 103 papers in Molecular Biology and 43 papers in Surgery. Recurrent topics in Anne Slavotinek's work include Genomic variations and chromosomal abnormalities (40 papers), Genomics and Rare Diseases (30 papers) and Ocular Disorders and Treatments (25 papers). Anne Slavotinek is often cited by papers focused on Genomic variations and chromosomal abnormalities (40 papers), Genomics and Rare Diseases (30 papers) and Ocular Disorders and Treatments (25 papers). Anne Slavotinek collaborates with scholars based in United States, United Kingdom and Canada. Anne Slavotinek's co-authors include Leslie G. Biesecker, Elliott H. Sherr, Dian Donnai, Gary M. Shaw, Lorraine Gaunt, W H Betts, I. B. Mahadevan, A. David Ward, Stephen F. Lincoln and Peter D. Zalewski and has published in prestigious journals such as Nature Genetics, PLoS ONE and Neurology.

In The Last Decade

Anne Slavotinek

196 papers receiving 4.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne Slavotinek United States 38 2.4k 2.4k 1.0k 572 459 205 4.8k
Paola Grammatico Italy 34 1.9k 0.8× 1.8k 0.7× 696 0.7× 348 0.6× 182 0.4× 204 4.4k
Didier Lacombe France 48 2.7k 1.1× 4.0k 1.7× 1.1k 1.1× 819 1.4× 791 1.7× 322 7.8k
Hirotomo Saitsu Japan 43 2.8k 1.2× 4.2k 1.8× 774 0.8× 521 0.9× 379 0.8× 430 7.7k
Stephen P. Robertson New Zealand 38 2.2k 0.9× 2.8k 1.2× 547 0.5× 496 0.9× 350 0.8× 152 5.3k
Tomonobu Hasegawa Japan 41 2.1k 0.9× 3.2k 1.3× 756 0.8× 631 1.1× 353 0.8× 360 6.1k
Kenjiro Kosaki Japan 35 1.8k 0.8× 2.7k 1.1× 623 0.6× 591 1.0× 565 1.2× 363 5.2k
André Mégarbané Lebanon 43 2.1k 0.9× 4.1k 1.8× 440 0.4× 361 0.6× 370 0.8× 276 7.0k
Joël Zlotogora Israel 35 2.0k 0.8× 1.9k 0.8× 381 0.4× 690 1.2× 306 0.7× 170 5.0k
Willy Lissens Belgium 43 1.8k 0.7× 3.3k 1.4× 569 0.6× 1.3k 2.3× 926 2.0× 235 7.0k
Pablo Lapunzina Spain 40 2.7k 1.1× 2.9k 1.2× 589 0.6× 856 1.5× 482 1.1× 227 5.1k

Countries citing papers authored by Anne Slavotinek

Since Specialization
Citations

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

Fields of papers citing papers by Anne Slavotinek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Slavotinek

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

All Works

20 of 20 papers shown
1.
Timberlake, Andrew T., Kshipra Hemal, Le Hao, et al.. (2024). AXIN1 mutations in nonsyndromic craniosynostosis. Journal of Neurosurgery Pediatrics. 34(3). 246–251.
2.
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Truty, Rebecca, Susan Rojahn, Karen Ouyang, et al.. (2023). Patterns of mosaicism for sequence and copy-number variants discovered through clinical deep sequencing of disease-related genes in one million individuals. The American Journal of Human Genetics. 110(4). 551–564. 8 indexed citations
4.
5.
Sparks, Teresa N., Billie R. Lianoglou, Kate Swanson, et al.. (2023). Deep phenotyping expands our knowledge of fetal manifestations of genetic disease. American Journal of Obstetrics and Gynecology. 228(1). S750–S751. 2 indexed citations
6.
Brin, Mitchell F., Russell S. Kirby, Anne Slavotinek, et al.. (2023). Pregnancy Outcomes in Patients Exposed to OnabotulinumtoxinA Treatment. Neurology. 101(2). e103–e113. 18 indexed citations
7.
Hodoğlugil, Uğur, et al.. (2022). TRAPPC9‐related neurodevelopmental disorder: Report of a homozygous deletion in TRAPPC9 due to paternal uniparental isodisomy. American Journal of Medical Genetics Part A. 191(4). 1077–1082. 2 indexed citations
8.
Magnusen, Albert Frank, Reena Rani, Luca Marsili, et al.. (2022). Targeting the Complement–Sphingolipid System in COVID-19 and Gaucher Diseases: Evidence for a New Treatment Strategy. International Journal of Molecular Sciences. 23(22). 14340–14340. 10 indexed citations
9.
Ferket, Bart S., Akila Pai, Kathleen F. Mittendorf, et al.. (2022). Cost-effectiveness frameworks for comparing genome and exome sequencing versus conventional diagnostic pathways: A scoping review and recommended methods. Genetics in Medicine. 24(10). 2014–2027. 9 indexed citations
10.
Slavotinek, Anne, et al.. (2022). Predicting genes from phenotypes using human phenotype ontology (HPO) terms. Human Genetics. 141(11). 1749–1760. 4 indexed citations
11.
Mardy, Anne H., et al.. (2021). Third case of Bardet‐Biedl syndrome caused by a biallelic variant predicted to affect splicing of IFT74 . Clinical Genetics. 100(1). 93–99. 9 indexed citations
12.
Shieh, Joseph T.C., K. Wong, Michal Levy‐Sakin, et al.. (2021). Application of full-genome analysis to diagnose rare monogenic disorders. npj Genomic Medicine. 6(1). 77–77. 29 indexed citations
13.
Mendelsohn, Bryce A., Daniah Beleford, Zuhair Rahbeeni, et al.. (2019). A novel truncating variant in ring finger protein 113A (RNF113A) confirms the association of this gene with X‐linked trichothiodystrophy. American Journal of Medical Genetics Part A. 182(3). 513–520. 12 indexed citations
14.
Johnston, Jennifer J., Kathleen A. Williamson, Julie C. Sapp, et al.. (2019). NAA10 polyadenylation signal variants cause syndromic microphthalmia. Journal of Medical Genetics. 56(7). 444–452. 22 indexed citations
15.
Anand, Deepti, Smriti A. Agrawal, Anne Slavotinek, & Salil A. Lachke. (2018). Mutation update of transcription factor genesFOXE3,HSF4,MAF, andPITX3causing cataracts and other developmental ocular defects. Human Mutation. 39(4). 471–494. 54 indexed citations
16.
Dimitri, Paul, Elisa De Franco, Abdelhadi Habeb, et al.. (2016). An emerging, recognizable facial phenotype in association with mutations in GLI‐similar 3 (GLIS3). American Journal of Medical Genetics Part A. 170(7). 1918–1923. 16 indexed citations
17.
Zárate, Yuri A., Hazel Perry, Tawfeg Ben‐Omran, et al.. (2015). Further supporting evidence for the SATB2‐associated syndrome found through whole exome sequencing. American Journal of Medical Genetics Part A. 167(5). 1026–1032. 37 indexed citations
18.
Barkovich, James, et al.. (2014). De novo ANKRD11 and KDM1A gene mutations in a male with features of KBG syndrome and Kabuki syndrome. American Journal of Medical Genetics Part A. 164(7). 1744–1749. 60 indexed citations
19.
Slavotinek, Anne. (2004). Chromosome abnormalities and genetic counseling, 3rd edn. Journal of Medical Genetics. 41(5). 400–400. 110 indexed citations
20.
Powell, Jenny, Fenella Wojnarowska, R.P.R. DAWBER, Anne Slavotinek, & Susan Huson. (1998). Childhood Vulval Lichen Sclerosus in a Patient with Ectodermal Dysplasia and Uncombable Hair. Pediatric Dermatology. 15(6). 446–449. 5 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.

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