Naomi Meeks

930 total citations
16 papers, 169 citations indexed

About

Naomi Meeks is a scholar working on Molecular Biology, Genetics and Clinical Biochemistry. According to data from OpenAlex, Naomi Meeks has authored 16 papers receiving a total of 169 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Genetics and 3 papers in Clinical Biochemistry. Recurrent topics in Naomi Meeks's work include Genomics and Rare Diseases (4 papers), Metabolism and Genetic Disorders (3 papers) and Biochemical and Molecular Research (3 papers). Naomi Meeks is often cited by papers focused on Genomics and Rare Diseases (4 papers), Metabolism and Genetic Disorders (3 papers) and Biochemical and Molecular Research (3 papers). Naomi Meeks collaborates with scholars based in United States, Canada and Australia. Naomi Meeks's co-authors include Curtis R. Coughlin, Michael A. Swanson, Silvy J.M. van Dooren, Kathryn E. Kronquist, Michael F. Wempe, Clara van Karnebeek, Hanlin Gao, Péter L. Nagy, Gajja S. Salomons and Becky Pinjou Tsai and has published in prestigious journals such as SHILAP Revista de lepidopterología, Genetics and Journal of Autism and Developmental Disorders.

In The Last Decade

Naomi Meeks

16 papers receiving 165 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naomi Meeks United States 8 86 64 50 36 18 16 169
Emanuela Ponzi Italy 7 87 1.0× 49 0.8× 93 1.9× 22 0.6× 13 0.7× 14 182
Margit Nõukas Estonia 9 104 1.2× 31 0.5× 111 2.2× 30 0.8× 12 0.7× 16 216
Maria Kibæk Denmark 10 163 1.9× 41 0.6× 135 2.7× 28 0.8× 8 0.4× 14 277
Clara D. van Karnebeek Netherlands 9 97 1.1× 53 0.8× 60 1.2× 12 0.3× 22 1.2× 23 174
Dmitriy M. Niyazov United States 6 189 2.2× 65 1.0× 65 1.3× 11 0.3× 6 0.3× 6 247
Allison Matthews Canada 10 165 1.9× 33 0.5× 128 2.6× 39 1.1× 4 0.2× 14 254
Ghunwa Nakouzi United States 8 103 1.2× 63 1.0× 56 1.1× 17 0.5× 32 1.8× 15 180
Claudia Soler‐Alfonso United States 12 197 2.3× 129 2.0× 135 2.7× 33 0.9× 24 1.3× 21 333
Ilya Kanivets Russia 7 91 1.1× 29 0.5× 61 1.2× 26 0.7× 5 0.3× 39 162
Bregje Jaeger Netherlands 9 80 0.9× 95 1.5× 16 0.3× 26 0.7× 31 1.7× 22 216

Countries citing papers authored by Naomi Meeks

Since Specialization
Citations

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

Fields of papers citing papers by Naomi Meeks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naomi Meeks

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

All Works

16 of 16 papers shown
1.
Larson, Austin, Naomi Meeks, Marisa W. Friederich, et al.. (2024). An integrated multi-omics approach allowed ultra-rapid diagnosis of a deep intronic pathogenic variant in PDHX and precision treatment in a neonate critically ill with lactic acidosis. Mitochondrion. 79. 101973–101973. 2 indexed citations
2.
Harris, Kelly T., Jonathan P. Roach, Naomi Meeks, et al.. (2023). Anorectal malformation in a 46,XY patient with a de novo stop-loss variant in PPP1R12A and associated difference in sexual development: A case report. SHILAP Revista de lepidopterología. 95. 102679–102679. 2 indexed citations
3.
Chang, Joshua C., Fernando J. Kim, Anne Chun‐Hui Tsai, et al.. (2023). Population genetics analysis of SLC3A1 and SLC7A9 revealed the etiology of cystine stone may be more than what our current genetic knowledge can explain. Urolithiasis. 51(1). 101–101. 3 indexed citations
4.
Chan, Christine M., et al.. (2022). A novel GNAS variant presents with disorders of GNAS inactivation and cardiomyopathy. American Journal of Medical Genetics Part A. 188(7). 2147–2152. 1 indexed citations
5.
Chambers, Christina, Naomi Meeks, Fang Xu, et al.. (2021). A Novel Intronic Pathogenic Variant in STAR With a Dominant Negative Mechanism Causes Attenuated Lipoid Congenital Adrenal Hyperplasia. Journal of Investigative Medicine High Impact Case Reports. 9. 1605862429–1605862429. 1 indexed citations
6.
Mostovoy, Yulia, Feyza Yilmaz, Catherine Chu, et al.. (2021). Genomic regions associated with microdeletion/microduplication syndromes exhibit extreme diversity of structural variation. Genetics. 217(2). 13 indexed citations
7.
Tian, Lin H., Lisa D. Wiggins, Laura A. Schieve, et al.. (2020). Mapping the Relationship between Dysmorphology and Cognitive, Behavioral, and Developmental Outcomes in Children with Autism Spectrum Disorder. Autism Research. 13(7). 1227–1238. 3 indexed citations
8.
Shapira, Stuart K., Lin H. Tian, Arthur S. Aylsworth, et al.. (2019). A Novel Approach to Dysmorphology to Enhance the Phenotypic Classification of Autism Spectrum Disorder in the Study to Explore Early Development. Journal of Autism and Developmental Disorders. 49(5). 2184–2202. 7 indexed citations
9.
Faust, Gregory G., Naomi Meeks, Shira Modai, et al.. (2019). A clinically validated whole genome pipeline for structural variant detection and analysis. BMC Genomics. 20(S8). 545–545. 21 indexed citations
10.
Coughlin, Curtis R., Michael A. Swanson, Elaine Spector, et al.. (2019). The genotypic spectrum of ALDH7A1 mutations resulting in pyridoxine dependent epilepsy: A common epileptic encephalopathy. Journal of Inherited Metabolic Disease. 42(2). 353–361. 65 indexed citations
11.
Coughlin, Curtis R., Michael A. Swanson, Elaine Spector, et al.. (2018). The genotypic spectrum of ALDH7A1 mutations resulting in pyridoxine dependent epilepsy: a common epileptic encephalopathy. Journal of Inherited Metabolic Disease. 14 indexed citations
12.
Mason‐Suares, Heather, Diana M. Toledo, Jean Gekas, et al.. (2017). Juvenile myelomonocytic leukemia-associated variants are associated with neo-natal lethal Noonan syndrome. European Journal of Human Genetics. 25(4). 509–511. 14 indexed citations
13.
Enzenauer, Robert W., et al.. (2017). Lipogranulomatous subconjunctival nodules: a novel presentation in Blau syndrome. Journal of American Association for Pediatric Ophthalmology and Strabismus. 21(3). 249–251. 3 indexed citations
14.
Larson, Austin, Natalie Nokoff, & Naomi Meeks. (2015). Genetic causes of pituitary hormone deficiencies.. PubMed. 19(104). 175–83. 8 indexed citations
15.
Nokoff, Natalie, Sharon Travers, & Naomi Meeks. (2015). Two cases of androgen insensitivity due to somatic mosaicism. SHILAP Revista de lepidopterología. 2(2). 104–109. 1 indexed citations
16.
Tan, Christopher, Scott Topper, Daniela del Gaudio, et al.. (2015). Characterization of patients referred for non‐specific intellectual disability testing: the importance of autosomal genes for diagnosis. Clinical Genetics. 89(4). 478–483. 11 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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2026