Anna Hurst

1.4k total citations
30 papers, 175 citations indexed

About

Anna Hurst is a scholar working on Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Anna Hurst has authored 30 papers receiving a total of 175 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 15 papers in Molecular Biology and 5 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Anna Hurst's work include Genomics and Rare Diseases (12 papers), Genomic variations and chromosomal abnormalities (8 papers) and BRCA gene mutations in cancer (5 papers). Anna Hurst is often cited by papers focused on Genomics and Rare Diseases (12 papers), Genomic variations and chromosomal abnormalities (8 papers) and BRCA gene mutations in cancer (5 papers). Anna Hurst collaborates with scholars based in United States, Canada and Georgia. Anna Hurst's co-authors include Ambika P. Ashraf, Abhimanyu Garg, Savithri Nageswaran, Fady M. Mikhail, Nathaniel H. Robin, Kory R. Johnson, Abdel G. Elkahloun, Joshua D. Bernstock, Andrew K. Groves and Frederick D. Goldman and has published in prestigious journals such as Neurology, Genome Research and Journal of Allergy and Clinical Immunology.

In The Last Decade

Anna Hurst

23 papers receiving 173 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Hurst United States 9 69 56 34 24 21 30 175
Pin Fee Chong Japan 9 47 0.7× 55 1.0× 26 0.8× 35 1.5× 15 0.7× 33 202
Katie Sullivan Canada 8 33 0.5× 56 1.0× 34 1.0× 21 0.9× 12 0.6× 15 178
Elodie Persyn United Kingdom 7 96 1.4× 71 1.3× 8 0.2× 45 1.9× 20 1.0× 7 244
Jill Gianettoni United States 5 43 0.6× 51 0.9× 9 0.3× 21 0.9× 11 0.5× 8 188
М. В. Голубенко Russia 9 87 1.3× 97 1.7× 10 0.3× 11 0.5× 23 1.1× 53 237
Marit Bjørnvold Norway 9 115 1.7× 52 0.9× 50 1.5× 10 0.4× 32 1.5× 14 315
Leslie A. Lange United States 8 61 0.9× 55 1.0× 21 0.6× 4 0.2× 19 0.9× 25 184
Jingning Zhang United States 4 104 1.5× 85 1.5× 9 0.3× 6 0.3× 17 0.8× 7 204
Ping Mayo United States 8 74 1.1× 78 1.4× 7 0.2× 14 0.6× 10 0.5× 8 195
Sun-Wha Im South Korea 8 29 0.4× 38 0.7× 7 0.2× 16 0.7× 23 1.1× 18 174

Countries citing papers authored by Anna Hurst

Since Specialization
Citations

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

Fields of papers citing papers by Anna Hurst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Hurst

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Hurst. A scholar is included among the top collaborators of Anna Hurst 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 Anna Hurst. Anna Hurst 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.
Dickson, Alexa, Barbara K. Fortini, Jennifer Goldstein, et al.. (2025). Survey of Demographics, Training, Duties, and Professional Development for Variant Scientists in Genomic Medicine. Journal of Molecular Diagnostics. 27(10). 936–944.
2.
Abdul‐Rahman, Omar, Giulia Pascolini, Giovanni Di Zenzo, et al.. (2025). Artificial Intelligence Software Changes Rare Disease Testing Strategy in Real Time: An International Case Series Using Face2Gene. American Journal of Medical Genetics Part A. 197(11). e64171–e64171.
3.
Hiatt, Susan M., James M.J. Lawlor, Lori H. Handley, et al.. (2024). Long-read genome sequencing and variant reanalysis increase diagnostic yield in neurodevelopmental disorders. Genome Research. 34(11). 1747–1762. 7 indexed citations
4.
Gao, Min, et al.. (2024). Constitutional Mosaic Pericentromeric Trisomy 8 in a Female Patient With Aplastic Anemia. American Journal of Medical Genetics Part A. 197(4). e63951–e63951.
5.
Hurst, Anna, et al.. (2023). The Astronomical Event of the Decade. Science and Children. 60(7). 40–44.
6.
Chen, Yunjia, Ender Karaca, Nathaniel H. Robin, et al.. (2023). DLG2 intragenic exonic deletions reinforce the link to neurodevelopmental disorders and suggest a potential association with congenital anomalies and dysmorphism. Genetics in Medicine. 26(1). 101010–101010.
7.
8.
Hayeems, Robin Z., Stephanie Luca, Anna Hurst, et al.. (2022). Applying the Clinician-reported Genetic testing Utility InDEx (C-GUIDE) to genome sequencing: further evidence of validity. European Journal of Human Genetics. 30(12). 1423–1431. 9 indexed citations
9.
Bowling, Kevin M., Michelle L. Thompson, Melissa Kelly, et al.. (2022). Return of non-ACMG recommended incidental genetic findings to pediatric patients: considerations and opportunities from experiences in genomic sequencing. Genome Medicine. 14(1). 131–131. 10 indexed citations
10.
Honjo, Rachel Sayuri, Guilherme Lopes Yamamoto, Débora Romeo Bertola, et al.. (2021). Twenty‐year follow‐up of the facial phenotype of Brazilian patients with Sotos syndrome. American Journal of Medical Genetics Part A. 185(12). 3916–3923.
11.
Bowling, Kevin M., Michelle L. Thompson, Stacy W. Gray, et al.. (2020). Identifying rare, medically relevant variation via population-based genomic screening in Alabama: opportunities and pitfalls. Genetics in Medicine. 23(2). 280–288. 9 indexed citations
12.
Kazamel, Mohamed, Michael A. Lopez, Martina Bebin, et al.. (2020). Fibulin-5 mutation featuring Charcot-Marie-Tooth disease, joint hyperlaxity, and scoliosis. Neurology Genetics. 6(4). e476–e476. 1 indexed citations
13.
Bernstock, Joshua D., Abdel G. Elkahloun, Kory R. Johnson, et al.. (2019). Recurrent microdeletions at chromosome 2p11.2 are associated with thymic hypoplasia and features resembling DiGeorge syndrome. Journal of Allergy and Clinical Immunology. 145(1). 358–367.e2. 23 indexed citations
14.
Hurst, Anna, Melissa A. Wilk, James Holt, Elaine Lyon, & David Bick. (2019). Clinical Diagnosis through Whole-Genome Sequencing. Clinical Chemistry. 66(1). 261–262. 1 indexed citations
15.
Mikhail, Fady M., et al.. (2018). Maternal uniparental isodisomy for chromosome 6 discovered by paternity testing: a case report. Molecular Cytogenetics. 11(1). 60–60. 8 indexed citations
16.
Hurst, Anna. (2018). Facial recognition software in clinical dysmorphology. Current Opinion in Pediatrics. 30(6). 701–706. 23 indexed citations
17.
Oakes, Jerry, et al.. (2017). Foramen magnum compression in Coffin–Lowry syndrome: A case report. American Journal of Medical Genetics Part A. 173(4). 1087–1089. 2 indexed citations
18.
Ashraf, Ambika P., Anna Hurst, & Abhimanyu Garg. (2017). Extreme hypertriglyceridemia, pseudohyponatremia, and pseudoacidosis in a neonate with lipoprotein lipase deficiency due to segmental uniparental disomy. Journal of clinical lipidology. 11(3). 757–762. 13 indexed citations
19.
Nageswaran, Savithri, et al.. (2017). Unexpected Survivors: Children With Life-Limiting Conditions of Uncertain Prognosis. American Journal of Hospice and Palliative Medicine®. 35(4). 690–696. 11 indexed citations
20.

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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