David B. Goldstein

8.1k total citations
22 papers, 1.4k citations indexed

About

David B. Goldstein is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, David B. Goldstein has authored 22 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in David B. Goldstein's work include Genomics and Rare Diseases (4 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). David B. Goldstein is often cited by papers focused on Genomics and Rare Diseases (4 papers), Pharmacogenetics and Drug Metabolism (3 papers) and Genomic variations and chromosomal abnormalities (3 papers). David B. Goldstein collaborates with scholars based in United States, Australia and United Kingdom. David B. Goldstein's co-authors include Ulrich Certa, Stuart J. Macdonald, Scott D. Pletcher, Stephen C. Stearns, Linda Partridge, Anna C. Need, Samuel F. Berkovic, Ingrid E. Scheffer, Arno G. Motulsky and Melody Li and has published in prestigious journals such as Nature Communications, Nature Genetics and Current Biology.

In The Last Decade

David B. Goldstein

21 papers receiving 1.4k citations

Peers

David B. Goldstein

GENET

PMH

CMN

AGING

Edna Ben‐Asher Israel

Arturo Bevilacqua Italy

Christopher R. Mueller Canada

Eiichi Takaki Japan

Sunil Mehta United States

Kevin M. Bowling United States

Diana Hall Switzerland

Meeta Mistry United States

Kathleen Horner United States

Edna Ben‐Asher Israel

David B. Goldstein

1.5k ×3.0

482 ×1.0

GENET

134 ×0.5

PMH

358 ×1.3

CMN

22 ×0.1

AGING

Citations per year, relative to David B. Goldstein David B. Goldstein (= 1×) peers Edna Ben‐Asher

Countries citing papers authored by David B. Goldstein

Since Specialization

Citations

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

Fields of papers citing papers by David B. Goldstein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David B. Goldstein. 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 David B. Goldstein. The network helps show where David B. Goldstein may publish in the future.

Co-authorship network of co-authors of David B. Goldstein

This figure shows the co-authorship network connecting the top 25 collaborators of David B. Goldstein. A scholar is included among the top collaborators of David B. Goldstein 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 David B. Goldstein. David B. Goldstein 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

Su, Jie, John R. de Almeida, Ali Hosni, et al.. (2024). Radiology–Pathology Concordance and Prognostication of Nodal Features in pN+ Oral Cavity Cancer. The Laryngoscope. 134(12). 4947–4955. 1 indexed citations

Sapir, Tamar, Aditya Kshirsagar, Anna Gorelik, et al.. (2022). Heterogeneous nuclear ribonucleoprotein U (HNRNPU) safeguards the developing mouse cortex. Nature Communications. 13(1). 4209–4209. 24 indexed citations

Miller, Cheryl N., Keri N. Althoff, David J. Schlueter, et al.. (2022). Concordance of SARS-CoV-2 Antibody Results during a Period of Low Prevalence. mSphere. 7(5). e0025722–e0025722.

Sharma, Rahul K., Joseph Hostyk, Evan H. Baugh, et al.. (2022). Myosin Mutations and Sudden Sensorineural Hearing Loss: Results of Whole Exome Sequencing. Otology & Neurotology. 44(1). 16–20. 1 indexed citations

Zhu, Xiaolin, Brett Copeland, Joshua Bridgers, et al.. (2017). A case-control collapsing analysis identifies epilepsy genes implicated in trio sequencing studies focused on de novo mutations. PLoS Genetics. 13(11). e1007104–e1007104. 17 indexed citations

Shea, Patrick R., Gideon M. Hirschfield, M. Shiffman, et al.. (2017). Common variation near glial-derived neurotrophic factor is associated with progression of hepatic collagen content in a genome-wide association study of liver fibrosis phenotypes in patients with primary sclerosing cholangitis. Journal of Hepatology. 66(1). S4–S5. 1 indexed citations

Hildebrand, Michael S., John A. Damiano, Elisa J. Cops, et al.. (2016). Mutations of the Sonic Hedgehog Pathway Underlie Hypothalamic Hamartoma with Gelastic Epilepsy. The American Journal of Human Genetics. 99(2). 423–429. 45 indexed citations

Caparrotti, Francesca, Shiying Huang, Jolie Ringash, et al.. (2016). EP-1093: Impact of comorbidity, polypharmacy and HPV status in elderly patient with oropharyngeal cancer. Radiotherapy and Oncology. 119. S526–S526. 1 indexed citations

Jiang, Yu, Glen A. Satten, Yujun Han, et al.. (2014). Utilizing Population Controls in Rare-Variant Case-Parent Association Tests. The American Journal of Human Genetics. 94(6). 845–853. 13 indexed citations

10.

Milligan, Carol J., Melody Li, Elena V. Gazina, et al.. (2014). KCNT1gain of function in 2 epilepsy phenotypes is reversed by quinidine. Annals of Neurology. 75(4). 581–590. 193 indexed citations

11.

Hitomi, Yuki, Erin L. Heinzen, Simona Donatello, et al.. (2013). Mutations in TNK2 in severe autosomal recessive infantile onset epilepsy. Annals of Neurology. 74(3). 496–501. 15 indexed citations

12.

Zhu, Mingfu, Anna C. Need, Yujun Han, et al.. (2012). Using ERDS to Infer Copy-Number Variants in High-Coverage Genomes. The American Journal of Human Genetics. 91(3). 408–421. 86 indexed citations

13.

Oz-Levi, Danit, Bruria Ben‐Zeev, Elizabeth K. Ruzzo, et al.. (2012). Mutation in TECPR2 Reveals a Role for Autophagy in Hereditary Spastic Paraparesis. The American Journal of Human Genetics. 91(6). 1065–1072. 106 indexed citations

14.

Altman, Russ B., David A. Flockhart, & David B. Goldstein. (2012). Principles of Pharmacogenetics and Pharmacogenomics. Cambridge University Press eBooks. 10 indexed citations

15.

Goldstein, David B., Anna C. Need, Rinki Singh, & Sanjay M. Sisodiya. (2007). Potential Genetic Causes of Heterogeneity of Treatment Effects. The American Journal of Medicine. 120(4). S21–S25. 41 indexed citations

16.

Szoeke, Cassandra, Mark R. Newton, Julie Wood, et al.. (2006). Update on pharmacogenetics in epilepsy: a brief review. The Lancet Neurology. 5(2). 189–196. 63 indexed citations

17.

Need, Anna C., Arno G. Motulsky, & David B. Goldstein. (2005). Priorities and standards in pharmacogenetic research. Nature Genetics. 37(7). 671–681. 79 indexed citations

18.

Pletcher, Scott D., Stuart J. Macdonald, Ulrich Certa, et al.. (2002). Genome-Wide Transcript Profiles in Aging and Calorically Restricted Drosophila melanogaster. Current Biology. 12(9). 712–723. 430 indexed citations

19.

Thomas, Mark, Tudor Parfitt, Karl Skorecki, et al.. (2000). Y Chromosomes Traveling South: The Cohen Modal Haplotype and the Origins of the Lemba—the “Black Jews of Southern Africa”. The American Journal of Human Genetics. 66(2). 674–686. 137 indexed citations

20.

Lewis, Craig, David B. Goldstein, Eva Segelov, & Michael Friedländer. (1993). Chemotherapy made easier. Australian and New Zealand Journal of Medicine. 23(4). 387–392. 2 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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