Daniel L. Van Dyke

7.7k total citations
183 papers, 4.7k citations indexed

About

Daniel L. Van Dyke is a scholar working on Genetics, Genetics and Molecular Biology. According to data from OpenAlex, Daniel L. Van Dyke has authored 183 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Genetics, 55 papers in Genetics and 51 papers in Molecular Biology. Recurrent topics in Daniel L. Van Dyke's work include Genomic variations and chromosomal abnormalities (59 papers), Chronic Lymphocytic Leukemia Research (34 papers) and Acute Myeloid Leukemia Research (31 papers). Daniel L. Van Dyke is often cited by papers focused on Genomic variations and chromosomal abnormalities (59 papers), Chronic Lymphocytic Leukemia Research (34 papers) and Acute Myeloid Leukemia Research (31 papers). Daniel L. Van Dyke collaborates with scholars based in United States, Italy and Canada. Daniel L. Van Dyke's co-authors include Lester Weiss, Anne E. Wiktor, V. Ramesh Babu, Ayalew Tefferi, Curtis A. Hanson, Thomas E. Carey, Neil E. Kay, Maria J. Worsham, Animesh Pardanani and Benjamin A. Rybicki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and Blood.

In The Last Decade

Daniel L. Van Dyke

177 papers receiving 4.6k citations

Peers

Daniel L. Van Dyke

GENET

HEMAT

PFM

Athena M. Cherry United States

Eric Schoenmakers Belgium

Syed M. Jalal United States

Frances Flinter United Kingdom

Arupa Ganguly United States

Masashi Sanada Japan

José I. Martı́n-Subero Spain

Anna Savoia Italy

David Gisselsson Sweden

Daynna J. Wolff United States

Athena M. Cherry United States

Daniel L. Van Dyke

1.3k ×0.7

GENET

2.2k ×1.2

512 ×0.4

GENET

770 ×0.8

HEMAT

399 ×0.5

PFM

Citations per year, relative to Daniel L. Van Dyke Daniel L. Van Dyke (= 1×) peers Athena M. Cherry

Countries citing papers authored by Daniel L. Van Dyke

Since Specialization

Citations

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

Fields of papers citing papers by Daniel L. Van Dyke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel L. Van Dyke. 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 Daniel L. Van Dyke. The network helps show where Daniel L. Van Dyke may publish in the future.

Co-authorship network of co-authors of Daniel L. Van Dyke

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel L. Van Dyke. A scholar is included among the top collaborators of Daniel L. Van Dyke 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 Daniel L. Van Dyke. Daniel L. Van Dyke 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

O’Brien, Daniel R., Erik Jessen, Cecília Bonolo de Campos, et al.. (2024). Utility of Targeted Sequencing Compared to FISH for Detection of Chronic Lymphocytic Leukemia Copy Number Alterations. Cancers. 16(13). 2450–2450. 2 indexed citations

Chun, Kathy, Gail D. Wenger, Alka Chaubey, et al.. (2018). Assessing copy number aberrations and copy-neutral loss-of-heterozygosity across the genome as best practice: An evidence-based review from the Cancer Genomics Consortium (CGC) working group for chronic lymphocytic leukemia. Cancer Genetics. 228-229. 236–250. 20 indexed citations

Ketterling, Rhett P., et al.. (2012). When are apparently non-clonal abnormalities in bone marrow chromosome studies actually clonal?. Cancer Genetics. 205(7-8). 405–409. 2 indexed citations

Heerema, Nyla A., John C. Byrd, Prasad Koduru, et al.. (2010). Stimulation of chronic lymphocytic leukemia cells with CpG oligodeoxynucleotide gives consistent karyotypic results among laboratories: a CLL Research Consortium (CRC) Study. Cancer Genetics and Cytogenetics. 203(2). 134–140. 38 indexed citations

Caramazza, Domenica, Kebede H. Begna, Naseema Gangat, et al.. (2010). Refined cytogenetic-risk categorization for overall and leukemia-free survival in primary myelofibrosis: a single center study of 433 patients. Leukemia. 25(1). 82–88. 119 indexed citations

Tam, Constantine S., Tait D. Shanafelt, William G. Wierda, et al.. (2009). De novo deletion 17p13.1 chronic lymphocytic leukemia shows significant clinical heterogeneity: the M. D. Anderson and Mayo Clinic experience. Blood. 114(5). 957–964. 114 indexed citations

Deng, Xinxian, Di Kim Nguyen, R. Scott Hansen, et al.. (2009). Dosage Regulation of the Active X Chromosome in Human Triploid Cells. PLoS Genetics. 5(12). e1000751–e1000751. 15 indexed citations

Wiktor, Anne E. & Daniel L. Van Dyke. (2004). FISH analysis helps identify low-level mosaicism in Ullrich-Turner syndrome patients. Genetics in Medicine. 6(3). 132–135. 19 indexed citations

Zhang, Yanming, Jianjun Chen, Muhammad Shurafa, et al.. (2004). PRDX4, a member of the peroxiredoxin family, is fused to AML1 (RUNX1) in an acute myeloid leukemia patient with a t(X;21)(p22;q22). Genes Chromosomes and Cancer. 40(4). 365–370. 31 indexed citations

10.

Monaghan, Kristin G., Anne E. Wiktor, & Daniel L. Van Dyke. (2002). Diagnostic testing for Prader-Willi syndrome and Angelman syndrome: A cost comparison. Genetics in Medicine. 4(6). 448–450. 9 indexed citations

11.

Roberson, Jacquelyn, et al.. (2001). Prenatal diagnosis of 22q11.2 deletion when ultrasound examination reveals a heart defect. Genetics in Medicine. 3(1). 65–66. 17 indexed citations

12.

Pratt, Victoria M., Jacquelyn Roberson, Lester Weiss, & Daniel L. Van Dyke. (1998). Duplication 6q21q23 in two unrelated patients. American Journal of Medical Genetics. 80(2). 112–114. 10 indexed citations

13.

Hsu, Lillian Y. F., K Richkind, Daniel L. Van Dyke, et al.. (1996). INCIDENCE AND SIGNIFICANCE OF CHROMOSOME MOSAICISM INVOLVING AN AUTOSOMAL STRUCTURAL ABNORMALITY DIAGNOSED PRENATALLY THROUGH AMNIOCENTESIS: A COLLABORATIVE STUDY. Prenatal Diagnosis. 16(1). 1–28. 80 indexed citations

14.

Worsham, Maria J., Sandra R. Wolman, Thomas E. Carey, et al.. (1995). Common clonal origin of synchronous primary head and neck squamous cell carcinomas: Analysis by tumor karyotypes and fluorescence in situ hybridization. Human Pathology. 26(3). 251–261. 82 indexed citations

15.

Dyke, Daniel L. Van, Anne E. Wiktor, Dorothy A. Miller, et al.. (1992). Ullrich‐Turner syndrome with a small ring X chromosome and presence of mental retardation. American Journal of Medical Genetics. 43(6). 996–1005. 72 indexed citations

16.

Roberson, Jacquelyn, et al.. (1991). Mother and son with deletion of 3p25‐pter. American Journal of Medical Genetics. 39(2). 130–132. 18 indexed citations

17.

Worsham, Maria J., Daniel L. Van Dyke, Seija Grénman, et al.. (1991). Consistent Chromosome Abnormalities in Squamous Cell Carcinoma of the Vulva. Genes Chromosomes and Cancer. 3(6). 420–432. 58 indexed citations

18.

Robinow, Meinhard, et al.. (1989). Secondary trisomy or mosaic “tetrasomy” 8p. American Journal of Medical Genetics. 32(3). 320–324. 20 indexed citations

19.

Weiss, Lester, Richard C. Klugo, & Daniel L. Van Dyke. (1977). Cytogenetic studies of cryptorchid testes. 13. 291–292. 2 indexed citations

20.

Pai, G. Shashidhar, et al.. (1977). Thyroid abnormalities in 20 children with Turner syndrome. The Journal of Pediatrics. 91(2). 267–269. 37 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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