Eden Haverfield

2.8k total citations
23 papers, 536 citations indexed

About

Eden Haverfield is a scholar working on Genetics, Molecular Biology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Eden Haverfield has authored 23 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Genetics, 9 papers in Molecular Biology and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Eden Haverfield's work include BRCA gene mutations in cancer (5 papers), Genomics and Rare Diseases (4 papers) and Genomic variations and chromosomal abnormalities (4 papers). Eden Haverfield is often cited by papers focused on BRCA gene mutations in cancer (5 papers), Genomics and Rare Diseases (4 papers) and Genomic variations and chromosomal abnormalities (4 papers). Eden Haverfield collaborates with scholars based in United States, United Kingdom and Germany. Eden Haverfield's co-authors include Ryk Ward, Nourdine Bouzekri, Soma Das, Kristin Petras, William B. Dobyns, Sean Myles, Jean‐Michel Dugoujon, Mohamed Cherkaoui, Wendy K. Chung and D. J. Weatherall and has published in prestigious journals such as Blood, Cancer Research and Fertility and Sterility.

In The Last Decade

Eden Haverfield

22 papers receiving 517 citations

Peers

Eden Haverfield

GENET

PPCH

GENET

Walter Zumkeller Germany

Kevin Iori United States

Esther Vamos Belgium

Tatiana Tvrdik United States

Anikó Újfalusi Hungary

Sofia Dória Portugal

Vrunda Sheth United States

Rebecca S. Henkhaus United States

Amy Knight Johnson United States

Shinsuke Ninomiya Japan

Walter Zumkeller Germany

Eden Haverfield

218 ×0.8

GENET

228 ×0.9

67 ×0.7

PPCH

42 ×0.6

GENET

60 ×1.4

Citations per year, relative to Eden Haverfield Eden Haverfield (= 1×) peers Walter Zumkeller

Countries citing papers authored by Eden Haverfield

Since Specialization

Citations

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

Fields of papers citing papers by Eden Haverfield

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eden Haverfield

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

All Works

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20 of 20 papers shown

Schmidlen, Tara, Sara L. Bristow, Kathryn E. Hatchell, et al.. (2022). The Impact of Proband Indication for Genetic Testing on the Uptake of Cascade Testing Among Relatives. Frontiers in Genetics. 13. 867226–867226. 21 indexed citations

Sturm, Amy C., Rebecca Truty, Thomas E. Callis, et al.. (2021). Limited-Variant Screening vs Comprehensive Genetic Testing for Familial Hypercholesterolemia Diagnosis. JAMA Cardiology. 6(8). 902–902. 18 indexed citations

Haverfield, Eden, et al.. (2020). GENETIC SCREENING IN REPRODUCTIVE AGE WOMEN IDENTIFIES A HIGH POSITIVE RATE OF ACTIONABLE RESULTS. Fertility and Sterility. 114(3). e19–e19.

Esplin, Edward D., et al.. (2019). Abstract P4-03-06: Limitations of direct-to-consumer genetic screening for HBOC: False negatives, false positives and everything in between. Cancer Research. 79(4_Supplement). P4–3. 4 indexed citations

Davenport, Marsha L., et al.. (2018). Cleft palate and hypopituitarism in a patient with Noonan‐like syndrome with loose anagen hair‐1. American Journal of Medical Genetics Part A. 176(9). 2024–2027. 9 indexed citations

Garcia, John, Jackie Tahiliani, Amy Daly, et al.. (2016). Clinical Genetic Testing for the Cardiomyopathies and Arrhythmias: A Systematic Framework for Establishing Clinical Validity and Addressing Genotypic and Phenotypic Heterogeneity. Frontiers in Cardiovascular Medicine. 3. 20–20. 19 indexed citations

Millan, Francisca, Megan T. Cho, Kyle Retterer, et al.. (2016). Whole exome sequencing reveals de novo pathogenic variants in KAT6A as a cause of a neurodevelopmental disorder. American Journal of Medical Genetics Part A. 170(7). 1791–1798. 42 indexed citations

Rohena, Luis, Edwin R. Guzman, Mythily Ganapathi, et al.. (2015). FTO variant associated with malformation syndrome. American Journal of Medical Genetics Part A. 170(4). 1023–1028. 14 indexed citations

Haverfield, Eden, et al.. (2015). Whole-Exome Sequencing Reveals CLCNKB Mutations in a Case of Sudden Unexpected Infant Death. Pediatric and Developmental Pathology. 18(4). 324–326. 7 indexed citations

10.

Celis, Katrina, Eden Haverfield, Joshua Cappell, et al.. (2015). Loss of function mutation in glutamic pyruvate transaminase 2 (GPT2) causes developmental encephalopathy. Journal of Inherited Metabolic Disease. 38(5). 941–948. 20 indexed citations

11.

Wynn, Julia, et al.. (2015). Nonspecific phenotype of Noonan syndrome diagnosed by whole exome sequencing. Clinical Case Reports. 3(4). 237–239. 3 indexed citations

12.

Retterer, Kyle, Julie Scuffins, Daniel Schmidt, et al.. (2014). Assessing copy number from exome sequencing and exome array CGH based on CNV spectrum in a large clinical cohort. Genetics in Medicine. 17(8). 623–629. 86 indexed citations

13.

Dempsey, Melissa A, Anthony E. Johnson, Julie S. Moldenhauer, et al.. (2013). Molecular confirmation of nine cases of Cornelia de Lange syndrome diagnosed prenatally. Prenatal Diagnosis. 34(2). 163–167. 8 indexed citations

14.

Kang, Soonmo Peter, Jacqueline Ramı́rez, Larry House, et al.. (2010). A pharmacogenetic study of vorinostat glucuronidation. Pharmacogenetics and Genomics. 20(10). 638–641. 36 indexed citations

15.

Babić, Nikolina, et al.. (2009). Comparison of performance of three commercial platforms for warfarin sensitivity genotyping. Clinica Chimica Acta. 406(1-2). 143–147. 10 indexed citations

16.

Liu, Jinglan, Zhe Zhang, Matthew A. Deardorff, et al.. (2009). SMC1Aexpression and mechanism of pathogenicity in probands with X-Linked Cornelia de Lange syndrome. Human Mutation. 30(11). 1535–1542. 39 indexed citations

17.

Haverfield, Eden, et al.. (2008). Intragenic deletions and duplications of the LIS1 and DCX genes: a major disease-causing mechanism in lissencephaly and subcortical band heterotopia. European Journal of Human Genetics. 17(7). 911–918. 51 indexed citations

18.

Myles, Sean, Nourdine Bouzekri, Eden Haverfield, et al.. (2005). Genetic evidence in support of a shared Eurasian-North African dairying origin. Human Genetics. 117(1). 34–42. 56 indexed citations

19.

Haverfield, Eden, et al.. (2005). Pharmacogenomics of Deferiprone Metabolism.. Blood. 106(11). 2703–2703. 6 indexed citations

20.

Haverfield, Eden, Terrence Forrester, Nourdine Bouzekri, et al.. (2004). UGT1A1 variation and gallstone formation in sickle cell disease. Blood. 105(3). 968–972. 69 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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