David Yudovich

622 total citations
13 papers, 403 citations indexed

About

David Yudovich is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, David Yudovich has authored 13 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Hematology and 4 papers in Oncology. Recurrent topics in David Yudovich's work include CRISPR and Genetic Engineering (9 papers), Acute Myeloid Leukemia Research (4 papers) and CAR-T cell therapy research (3 papers). David Yudovich is often cited by papers focused on CRISPR and Genetic Engineering (9 papers), Acute Myeloid Leukemia Research (4 papers) and CAR-T cell therapy research (3 papers). David Yudovich collaborates with scholars based in Sweden, United States and Germany. David Yudovich's co-authors include Jonas Larsson, Agatheeswaran Subramaniam, Benjamin L. Ebert, Martin Hjort, Roman Galeev, Roger Belizaire, Jon C. Aster, Johan Jakobsson, Rebecca Petri and Sofia Madsen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The EMBO Journal.

In The Last Decade

David Yudovich

13 papers receiving 401 citations

Peers

David Yudovich
Sandeep N. Wontakal United States
Cameron Arakaki United States
Miaojin Zhou China
Lucas E. Wange Germany
Emily M. Smith United States
Kaimao Liu United States
W. Jason Cummings United States
Deborah Maret Canada
Takaaki Kameyama Japan
Calley Hirsch Canada
Sandeep N. Wontakal United States
David Yudovich
Citations per year, relative to David Yudovich David Yudovich (= 1×) peers Sandeep N. Wontakal

Countries citing papers authored by David Yudovich

Since Specialization
Citations

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

Fields of papers citing papers by David Yudovich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Yudovich

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

All Works

13 of 13 papers shown
1.
Yudovich, David, et al.. (2022). Combinatorial gene targeting in primary human hematopoietic stem and progenitor cells. Scientific Reports. 12(1). 18169–18169. 2 indexed citations
2.
Yudovich, David, et al.. (2022). Site-specific CRISPR-based mitochondrial DNA manipulation is limited by gRNA import. Scientific Reports. 12(1). 18687–18687. 25 indexed citations
3.
Jönsson, Marie E., Raquel Garza, Yogita Sharma, et al.. (2021). Activation of endogenous retroviruses during brain development causes an inflammatory response. The EMBO Journal. 40(9). e106423–e106423. 49 indexed citations
4.
Agarwal, Puneet, Marion Chapellier, Carl Högberg, et al.. (2020). CXCR4 Signaling Has a CXCL12-Independent Essential Role in Murine MLL-AF9-Driven Acute Myeloid Leukemia. Cell Reports. 31(8). 107684–107684. 29 indexed citations
5.
Subramaniam, Agatheeswaran, et al.. (2020). 3038 – UM171 PROMOTES EX VIVO EXPANSION OF HUMAN HSCS BY TARGETING THE EPIGENETIC MODULATOR COREST FOR DEGRADATION. Experimental Hematology. 88. S50–S50. 1 indexed citations
6.
7.
Subramaniam, Agatheeswaran, David Yudovich, Mayur Vilas Jain, et al.. (2020). Lysine-specific demethylase 1A restricts ex vivo propagation of human HSCs and is a target of UM171. Blood. 136(19). 2151–2161. 47 indexed citations
8.
Subramaniam, Agatheeswaran, David Yudovich, Roman Galeev, et al.. (2020). Efficient and nontoxic biomolecule delivery to primary human hematopoietic stem cells using nanostraws. Proceedings of the National Academy of Sciences. 117(35). 21267–21273. 54 indexed citations
9.
Jönsson, Marie E., Per Ludvik Brattås, Charlotte Gustafsson, et al.. (2019). Activation of neuronal genes via LINE-1 elements upon global DNA demethylation in human neural progenitors. Nature Communications. 10(1). 3182–3182. 68 indexed citations
10.
Tóthová, Zuzana, John M. Krill-Burger, Katerina D. Popova, et al.. (2017). Multiplex CRISPR/Cas9-Based Genome Editing in Human Hematopoietic Stem Cells Models Clonal Hematopoiesis and Myeloid Neoplasia. Cell stem cell. 21(4). 547–555.e8. 63 indexed citations
11.
Gundry, Michael C., Daniel P. Dever, David Yudovich, et al.. (2017). Technical considerations for the use of CRISPR/Cas9 in hematology research. Experimental Hematology. 54. 4–11. 16 indexed citations
12.
Tóthová, Zuzana, John M. Krill-Burger, Katerina D. Popova, et al.. (2016). Generation of Models of Human Hematologic Malignancies Using CRISPR Genome Engineering. Blood. 128(22). 741–741. 3 indexed citations
13.
Heckl, Dirk, Monika S. Kowalczyk, David Yudovich, et al.. (2014). Generation of mouse models of myeloid malignancy with combinatorial genetic lesions using CRISPR-Cas9 genome editing. Nature Biotechnology. 32(9). 941–946. 27 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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2026