Daniel L. Van Dyke

7.7k citations
183 papers · 4.7k indexed · h-index 41
Topics
Genomic variations and chromosomal abnormalities (59 papers)Chronic Lymphocytic Leukemia Research (34 papers)Acute Myeloid Leukemia Research (31 papers)
Partner nations
United StatesItalyCanada

In The Last Decade

Daniel L. Van Dyke

177 papers receiving 4.6k citations

Peers

Daniel L. Van Dyke
Comparison fields: 5 of 111
  • Genetics 1.9k
  • Molecular Biology 1.8k
  • Genetics 1.4k
  • Hematology 925
  • Pathology and Forensic Medicine 853
Replace Eric Schoenmakers with:
Eric Schoenmakers Belgium
Frances Flinter United Kingdom
Athena M. Cherry United States
Anna Savoia Italy
Eileen Bryant United States
Masashi Sanada Japan
Arupa Ganguly United States
José I. Martı́n-Subero Spain
David Gisselsson Sweden
Dominique Smeets Netherlands
Daniel L. Van Dyke relative to Eric Schoenmakers Belgium Eric Schoenmakers's profile →
Citations per field
00.5×3.9×
Eric Schoenmakers · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 2
2 20
3 2
4 38
5 119
6 114
7 15
8 19
9 31
10 9
11 17
12 10
13 80
14 82
15 72
16 18
17 58
18 20
19
Cytogenetic studies of cryptorchid testes
2
20 37

About Daniel L. Van Dyke

Daniel L. Van Dyke is a scholar working on Genetics, Genetics and Hematology, having authored 183 papers that have together received 4.7k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (59 papers), Chronic Lymphocytic Leukemia Research (34 papers) and Acute Myeloid Leukemia Research (31 papers). The work is most often cited by research in Genetics (1.4k citations), Hematology (925 citations) and Genetics (1.9k citations). Daniel L. Van Dyke has collaborated with scholars based in United States, Italy and Canada. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA and Blood.

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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