David Traver

21.0k total citations · 5 hit papers
120 papers, 14.6k citations indexed

About

David Traver is a scholar working on Cell Biology, Immunology and Molecular Biology. According to data from OpenAlex, David Traver has authored 120 papers receiving a total of 14.6k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Cell Biology, 65 papers in Immunology and 52 papers in Molecular Biology. Recurrent topics in David Traver's work include Zebrafish Biomedical Research Applications (68 papers), Epigenetics and DNA Methylation (23 papers) and Immune Cell Function and Interaction (23 papers). David Traver is often cited by papers focused on Zebrafish Biomedical Research Applications (68 papers), Epigenetics and DNA Methylation (23 papers) and Immune Cell Function and Interaction (23 papers). David Traver collaborates with scholars based in United States, Switzerland and Germany. David Traver's co-authors include Irving L. Weissman, Koichi Akashi, Toshihiro Miyamoto, Leonard I. Zon, Julien Bertrand, David L. Stachura, A. Thomas Look, Nikolaus S. Trede, David M. Langenau and Albert D. Kim and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

David Traver

117 papers receiving 14.4k citations

Hit Papers

A clonogenic common myeloid progenitor that gives rise to... 2000 2026 2008 2017 2000 2009 2010 2003 2004 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Traver United States 56 7.0k 6.4k 5.6k 3.1k 1.4k 120 14.6k
Ana Cumano France 57 8.6k 1.2× 6.6k 1.0× 2.2k 0.4× 1.9k 0.6× 1.9k 1.4× 162 16.3k
Thomas L. Saunders United States 57 2.7k 0.4× 7.8k 1.2× 3.1k 0.5× 1.7k 0.5× 1.5k 1.1× 160 15.3k
Cord Brakebusch Denmark 72 2.7k 0.4× 6.9k 1.1× 4.2k 0.7× 1.1k 0.4× 1.8k 1.3× 187 14.6k
Junji Takeda Japan 61 3.8k 0.5× 5.7k 0.9× 1.6k 0.3× 1.0k 0.3× 1.3k 0.9× 171 11.7k
Takahiro Kunisada Japan 49 2.4k 0.3× 7.1k 1.1× 2.1k 0.4× 767 0.2× 2.5k 1.8× 209 12.6k
Meinrad Busslinger Austria 89 10.8k 1.5× 13.7k 2.1× 1.2k 0.2× 1.9k 0.6× 2.8k 2.0× 209 25.8k
Toru Nakano Japan 68 4.6k 0.7× 12.9k 2.0× 1.4k 0.2× 978 0.3× 1.8k 1.3× 208 18.9k
Isabelle Callebaut France 59 2.5k 0.4× 7.9k 1.2× 1.3k 0.2× 1.0k 0.3× 1.3k 1.0× 239 12.9k
Claude Boucheix France 53 2.2k 0.3× 4.0k 0.6× 1.7k 0.3× 2.6k 0.8× 1.1k 0.8× 180 10.2k
Jack Lawler United States 77 2.3k 0.3× 11.8k 1.9× 2.6k 0.5× 1.7k 0.6× 2.9k 2.1× 206 20.2k

Countries citing papers authored by David Traver

Since Specialization
Citations

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

Fields of papers citing papers by David Traver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Traver

This figure shows the co-authorship network connecting the top 25 collaborators of David Traver. A scholar is included among the top collaborators of David Traver 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 Traver. David Traver 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
1.
Kirchberger, Stefanie, Andrea Wenninger-Weinzierl, Lisa E. Shaw, et al.. (2024). Comparative transcriptomics coupled to developmental grading via transgenic zebrafish reporter strains identifies conserved features in neutrophil maturation. Nature Communications. 15(1). 1792–1792. 11 indexed citations
2.
Taniguchi, Makoto, et al.. (2023). The sinusoidal hematopoietic niche is formed by Jam1a via Notch signaling in the zebrafish kidney. iScience. 26(4). 106508–106508.
3.
Balsbaugh, Jeremy L., Isaac L. Moss, Julien Bertrand, et al.. (2022). Notch signaling enhances bone regeneration in the zebrafish mandible. Development. 149(5). 17 indexed citations
4.
Campbell, Clyde, Oksana Fursova, Elizabeth Snella, et al.. (2021). A zebrafish model of granulin deficiency reveals essential roles in myeloid cell differentiation. Blood Advances. 5(3). 796–811. 17 indexed citations
5.
Svoboda, Ondřej, et al.. (2020). Zebrafish Kit ligands cooperate with erythropoietin to promote erythroid cell expansion. Blood Advances. 4(23). 5915–5924. 4 indexed citations
6.
Stachura, David L., Boris Vaisman, Jungsu Kim, et al.. (2018). Lipoprotein lipase regulates hematopoietic stem progenitor cell maintenance through DHA supply. Nature Communications. 9(1). 1310–1310. 26 indexed citations
7.
Richter, Jenna, Edouard G. Stanley, Elizabeth Ng, et al.. (2018). WNT9A Is a Conserved Regulator of Hematopoietic Stem and Progenitor Cell Development. Genes. 9(2). 66–66. 17 indexed citations
8.
Weijts, Bart, Eugene Tkachenko, David Traver, & Alex Groisman. (2017). A Four-Well Dish for High-Resolution Longitudinal Imaging of the Tail and Posterior Trunk of Larval Zebrafish. Zebrafish. 14(5). 489–491. 4 indexed citations
9.
Keightley, Maria-Cristina, Daniel Carradice, Judith E. Layton, et al.. (2017). The Pu.1 target gene Zbtb11 regulates neutrophil development through its integrase-like HHCC zinc finger. Nature Communications. 8(1). 14911–14911. 23 indexed citations
10.
Grainger, Stephanie, David Traver, & Karl Willert. (2017). Wnt Signaling in Hematological Malignancies. Progress in molecular biology and translational science. 153. 321–341. 39 indexed citations
11.
Grainger, Stephanie, et al.. (2016). CRISPR Guide RNA Validation In Vitro. Zebrafish. 14(4). 383–386. 12 indexed citations
12.
Svoboda, Ondřej, David L. Stachura, Olga Machoňová, et al.. (2016). Ex vivo tools for the clonal analysis of zebrafish hematopoiesis. Nature Protocols. 11(5). 1007–1020. 21 indexed citations
13.
Lugo‐Villarino, Geanncarlo, et al.. (2010). Identification of dendritic antigen-presenting cells in the zebrafish. Proceedings of the National Academy of Sciences. 107(36). 15850–15855. 200 indexed citations
14.
Balla, Keir M., Geanncarlo Lugo‐Villarino, Jan M. Spitsbergen, et al.. (2010). Eosinophils in the zebrafish: prospective isolation, characterization, and eosinophilia induction by helminth determinants. Blood. 116(19). 3944–3954. 130 indexed citations
15.
Clements, Wilson K., et al.. (2009). Zebrafish wnt3 is expressed in developing neural tissue. Developmental Dynamics. 238(7). 1788–1795. 28 indexed citations
16.
Jaiswal, Siddhartha, Catriona Jamieson, Wendy W. Pang, et al.. (2009). CD47 Is Upregulated on Circulating Hematopoietic Stem Cells and Leukemia Cells to Avoid Phagocytosis. Cell. 138(2). 271–285. 1210 indexed citations breakdown →
17.
Yoder, Jeffrey A., et al.. (2007). Structural characteristics of zebrafish orthologs of adaptor molecules that associate with transmembrane immune receptors. Gene. 401(1-2). 154–164. 41 indexed citations
18.
Langenau, David M., David Traver, Adolfo A. Ferrando, et al.. (2003). Myc-Induced T Cell Leukemia in Transgenic Zebrafish. Science. 299(5608). 887–890. 432 indexed citations
19.
Traver, David, Philippe Herbomel, E. Elizabeth Patton, et al.. (2003). The Zebrafish as a Model Organism to Study Development of the Immune System. Advances in immunology. 81. 254–330. 219 indexed citations
20.
Nakorn, Thanyaphong Na, David Traver, Irving L. Weissman, & Koichi Akashi. (2002). Myeloerythroid-restricted progenitors are sufficient to confer radioprotection and provide the majority of day 8 CFU-S. Journal of Clinical Investigation. 109(12). 1579–1585. 134 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026