David Vereide

1.4k total citations
12 papers, 936 citations indexed

About

David Vereide is a scholar working on Molecular Biology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, David Vereide has authored 12 papers receiving a total of 936 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in David Vereide's work include Pluripotent Stem Cells Research (5 papers), Viral-associated cancers and disorders (5 papers) and Lymphoma Diagnosis and Treatment (4 papers). David Vereide is often cited by papers focused on Pluripotent Stem Cells Research (5 papers), Viral-associated cancers and disorders (5 papers) and Lymphoma Diagnosis and Treatment (4 papers). David Vereide collaborates with scholars based in United States and Germany. David Vereide's co-authors include Bill Sugden, James A. Thomson, Li‐Fang Chu, Brian E. McIntosh, Ron Stewart, Zhonggang Hou, Jue Zhang, Jeea Choi, Christina Kendziorski and Daniel Mamott and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and Oncogene.

In The Last Decade

David Vereide

12 papers receiving 930 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Vereide United States 9 582 309 147 144 130 12 936
Jülide Tok Çelebi United States 20 789 1.4× 578 1.9× 136 0.9× 146 1.0× 72 0.6× 31 1.3k
Allen Coleman United States 15 840 1.4× 473 1.5× 149 1.0× 153 1.1× 158 1.2× 23 1.3k
Tomoyuki Shishido Japan 15 676 1.2× 167 0.5× 201 1.4× 83 0.6× 68 0.5× 23 1.0k
Hideki Izumi Japan 17 883 1.5× 327 1.1× 82 0.6× 233 1.6× 52 0.4× 33 1.2k
Björn Schneider Germany 22 502 0.9× 242 0.8× 137 0.9× 174 1.2× 162 1.2× 63 1.2k
Lauren G. Aoude Australia 16 634 1.1× 434 1.4× 200 1.4× 287 2.0× 56 0.4× 29 1.0k
Alison M. Taylor United States 15 691 1.2× 515 1.7× 109 0.7× 347 2.4× 42 0.3× 29 1.3k
Giovanni Fagà Italy 11 594 1.0× 267 0.9× 113 0.8× 105 0.7× 56 0.4× 16 876
Michael Dans United States 11 518 0.9× 213 0.7× 111 0.8× 106 0.7× 86 0.7× 14 1.1k
Julie L. Koenig United States 11 768 1.3× 151 0.5× 177 1.2× 218 1.5× 50 0.4× 23 1.1k

Countries citing papers authored by David Vereide

Since Specialization
Citations

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

Fields of papers citing papers by David Vereide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Vereide

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

All Works

12 of 12 papers shown
1.
Zhang, Jue, Diana M. Tabima, David Vereide, et al.. (2025). Small-diameter artery grafts engineered from pluripotent stem cells maintain 100% patency in an allogeneic rhesus macaque model. Cell Reports Medicine. 6(3). 102002–102002. 1 indexed citations
2.
Bacher, Rhonda, Scott Swanson, Peng Jiang, et al.. (2018). Spatial patterns of gene expression are unveiled in the chick primitive streak by ordering single-cell transcriptomes. Developmental Biology. 439(1). 30–41. 8 indexed citations
3.
4.
Chu, Li‐Fang, Ning Leng, Jue Zhang, et al.. (2016). Single-cell RNA-seq reveals novel regulators of human embryonic stem cell differentiation to definitive endoderm. Genome biology. 17(1). 173–173. 302 indexed citations
5.
McIntosh, Brian E., Matthew E. Brown, Bret Duffin, et al.. (2015). Nonirradiated NOD,B6.SCID Il2rγ−/− KitW41/W41 (NBSGW) Mice Support Multilineage Engraftment of Human Hematopoietic Cells. Stem Cell Reports. 4(2). 171–180. 159 indexed citations
6.
Vereide, David, Vernella Vickerman, Scott Swanson, et al.. (2014). An Expandable, Inducible Hemangioblast State Regulated by Fibroblast Growth Factor. Stem Cell Reports. 3(6). 1043–1057. 21 indexed citations
7.
Vereide, David, Eri Seto, Mitchell Hayes, et al.. (2013). Epstein–Barr virus maintains lymphomas via its miRNAs. Oncogene. 33(10). 1258–1264. 140 indexed citations
8.
Howden, Sara E., Athurva Gore, Zhe Li, et al.. (2011). Genetic correction and analysis of induced pluripotent stem cells from a patient with gyrate atrophy. Proceedings of the National Academy of Sciences. 108(16). 6537–6542. 118 indexed citations
9.
Vereide, David & Bill Sugden. (2010). Insights into the Evolution of Lymphomas Induced by Epstein–Barr Virus. Advances in cancer research. 108. 1–19. 25 indexed citations
10.
Vereide, David & Bill Sugden. (2010). Lymphomas differ in their dependence on Epstein-Barr virus. Blood. 117(6). 1977–1985. 71 indexed citations
11.
Vereide, David & Bill Sugden. (2009). Proof for EBV's sustaining role in Burkitt's lymphomas. Seminars in Cancer Biology. 19(6). 389–393. 31 indexed citations
12.

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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