Daniel Van Dyke

37 total papers · 1.4k total citations
17 papers, 845 citations indexed

About

Daniel Van Dyke is a scholar working on Genetics, Hematology and Molecular Biology. According to data from OpenAlex, Daniel Van Dyke has authored 17 papers receiving a total of 845 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 7 papers in Hematology and 6 papers in Molecular Biology. Recurrent topics in Daniel Van Dyke's work include Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Daniel Van Dyke is often cited by papers focused on Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Daniel Van Dyke collaborates with scholars based in United States, France and Israel. Daniel Van Dyke's co-authors include Curtis A. Hanson, Ayalew Tefferi, Animesh Pardanani, Susan M. Schwager, Kebede H. Begna, Rakhee Vaidya, Francisco Cervantes, Wenting Wu, Domenica Caramazza and Francesco Passamonti and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Daniel Van Dyke

16 papers receiving 837 citations

Hit Papers

DIPSS Plus: A Refined Dyn... 2010 2026 2015 2020 2010 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel Van Dyke 746 570 407 238 100 17 845
D Leibowitz 501 0.7× 602 1.1× 286 0.7× 186 0.8× 62 0.6× 24 867
A Weißer 395 0.5× 551 1.0× 246 0.6× 286 1.2× 89 0.9× 12 779
R B Arlinghaus 370 0.5× 469 0.8× 204 0.5× 185 0.8× 85 0.8× 17 725
Paul Sinclair 285 0.4× 472 0.8× 305 0.7× 151 0.6× 78 0.8× 24 824
Lucia Bianchi 363 0.5× 366 0.6× 486 1.2× 125 0.5× 79 0.8× 24 965
Christiane Duponchel 507 0.7× 233 0.4× 261 0.6× 96 0.4× 160 1.6× 18 839
Jastinder Sohal 200 0.3× 452 0.8× 408 1.0× 173 0.7× 39 0.4× 19 771
Odile Maarek 412 0.6× 645 1.1× 352 0.9× 232 1.0× 161 1.6× 24 1.0k
Marjorie Boissinot 531 0.7× 409 0.7× 469 1.2× 359 1.5× 31 0.3× 19 951
Traudl Henn 304 0.4× 492 0.9× 427 1.0× 117 0.5× 131 1.3× 21 1.0k

Countries citing papers authored by Daniel Van Dyke

Since Specialization
Citations

This map shows the geographic impact of Daniel 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 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 Van Dyke more than expected).

Fields of papers citing papers by Daniel Van Dyke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

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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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