David V. Schaffer

27.6k total citations · 8 hit papers
284 papers, 21.0k citations indexed

About

David V. Schaffer is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, David V. Schaffer has authored 284 papers receiving a total of 21.0k indexed citations (citations by other indexed papers that have themselves been cited), including 196 papers in Molecular Biology, 97 papers in Genetics and 52 papers in Biomedical Engineering. Recurrent topics in David V. Schaffer's work include Virus-based gene therapy research (89 papers), RNA Interference and Gene Delivery (59 papers) and CRISPR and Genetic Engineering (58 papers). David V. Schaffer is often cited by papers focused on Virus-based gene therapy research (89 papers), RNA Interference and Gene Delivery (59 papers) and CRISPR and Genetic Engineering (58 papers). David V. Schaffer collaborates with scholars based in United States, South Korea and Russia. David V. Schaffer's co-authors include Melissa A. Kotterman, Brian K. Kaspar, John G. Flannery, Kevin E. Healy, James T. Koerber, Ravi S. Kane, Deniz Dalkara, Krishanu Saha, Albert J. Keung and Adam P. Arkin and has published in prestigious journals such as Nature, Cell and Chemical Reviews.

In The Last Decade

David V. Schaffer

276 papers receiving 20.7k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Substrate Modulus Directs Neural Stem Cell Behavior

2008 862 citations Krishanu Saha, Albert J. Keung et al. profile →
A Designer AAV Variant Permits Efficient Retrograde Access to Projection Neurons

2016 830 citations David V. Schaffer et al. profile →
Sonic hedgehog regulates adult neural progenitor proliferation in vitro and in vivo

2002 643 citations Brian K. Kaspar, David V. Schaffer et al. profile →
Engineering adeno-associated viruses for clinical gene therapy

2014 599 citations David V. Schaffer et al. profile →
In Vivo–Directed Evolution of a New Adeno-Associated Virus for Therapeutic Outer Retinal Gene Delivery from the Vitreous

2013 555 citations Deniz Dalkara, Leah C. Byrne et al. profile →
The influence of hydrogel modulus on the proliferation and differentiation of encapsulated neural stem cells

2009 540 citations David V. Schaffer et al. profile →
Biophysical regulation of epigenetic state and cell reprogramming

2013 386 citations David V. Schaffer et al. profile →
Viral Vectors for Gene Therapy: Translational and Clinical Outlook

2015 351 citations David V. Schaffer et al. profile →

Author Peers

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

Author						Papers	Cites
David V. Schaffer	13.4k	5.3k	4.4k	3.5k	1.9k	284	21.0k
Xandra O. Breakefield	27.1k 2.0×	3.4k 0.7×	3.5k 0.8×	6.6k 1.9×	1.6k 0.8×	285	38.1k
Juan Carlos Izpisúa Belmonte	22.9k 1.7×	4.0k 0.8×	2.0k 0.5×	1.4k 0.4×	2.1k 1.1×	358	28.2k
Beverly L. Davidson	19.2k 1.4×	8.4k 1.6×	871 0.2×	4.8k 1.4×	1.7k 0.9×	334	28.1k
András Nagy	30.1k 2.2×	7.2k 1.4×	2.0k 0.5×	3.2k 0.9×	3.1k 1.6×	396	42.2k
Ron Stewart	18.9k 1.4×	2.5k 0.5×	2.5k 0.6×	1.5k 0.4×	729 0.4×	101	21.9k
Christine L. Mummery	18.0k 1.3×	1.7k 0.3×	5.1k 1.1×	3.1k 0.9×	1.4k 0.7×	405	24.8k
Hans R. Schöler	27.5k 2.1×	5.9k 1.1×	2.5k 0.6×	1.7k 0.5×	1.1k 0.6×	330	32.6k
Juergen A. Knoblich	19.3k 1.4×	2.0k 0.4×	5.1k 1.2×	4.6k 1.3×	7.0k 3.6×	149	27.3k
Joseph Itskovitz‐Eldor	23.1k 1.7×	2.4k 0.5×	6.6k 1.5×	2.9k 0.8×	1.1k 0.6×	178	30.2k
Calvin J. Kuo	10.9k 0.8×	2.3k 0.4×	2.7k 0.6×	1.4k 0.4×	1.8k 1.0×	139	20.9k

Countries citing papers authored by David V. Schaffer

Since Specialization

Citations

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

Fields of papers citing papers by David V. Schaffer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David V. Schaffer

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

All Works

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20 of 20 papers shown

Fulmore, Camille, et al.. (2024). Substrate stress relaxation regulates neural stem cell fate commitment. Proceedings of the National Academy of Sciences. 121(28). e2317711121–e2317711121. 10 indexed citations

Baek, Jieung, Sanjay Kumar, & David V. Schaffer. (2024). Dynamic light-responsive RhoA activity regulates mechanosensitive stem cell fate decision in 3D matrices. Biomaterials Advances. 160. 213836–213836. 2 indexed citations

Miller, Zachary M., Conner C. Harper, Hyun‐Cheol Lee, et al.. (2022). Apodization Specific Fitting for Improved Resolution, Charge Measurement, and Data Analysis Speed in Charge Detection Mass Spectrometry. Journal of the American Society for Mass Spectrometry. 33(11). 2129–2137. 19 indexed citations

Harper, Conner C., Zachary M. Miller, Hyun‐Cheol Lee, et al.. (2022). Effects of Molecular Size on Resolution in Charge Detection Mass Spectrometry. Analytical Chemistry. 94(33). 11703–11712. 21 indexed citations

Sugnaux, Caroline, et al.. (2021). High-Throughput Discovery of Targeted, Minimally Complex Peptide Surfaces for Human Pluripotent Stem Cell Culture. ACS Biomaterials Science & Engineering. 7(4). 1344–1360. 6 indexed citations

Öztürk, Bilge Esin, Molly Johnson, Michael Kleyman, et al.. (2021). scAAVengr, a transcriptome-based pipeline for quantitative ranking of engineered AAVs with single-cell resolution. eLife. 10. 41 indexed citations

Bao, Xiaoping, et al.. (2020). High-throughput 3D screening for differentiation of hPSC-derived cell therapy candidates. Science Advances. 6(32). eaaz1457–eaaz1457. 6 indexed citations

Yan, Rui, et al.. (2018). The Spectrin-Actin-Based Periodic Cytoskeleton as a Conserved Nanoscale Scaffold and Ruler of the Neural Stem Cell Lineage. Cell Reports. 24(6). 1512–1522. 29 indexed citations

Luque, Tomás, Michael S. Kang, David V. Schaffer, & Sanjay Kumar. (2016). Microelastic mapping of the rat dentate gyrus. Royal Society Open Science. 3(4). 150702–150702. 26 indexed citations

10.

Conway, Anthony, et al.. (2015). Multivalent Conjugates of Sonic Hedgehog Accelerate Diabetic Wound Healing. Tissue Engineering Part A. 21(17-18). 2366–2378. 14 indexed citations

11.

Loring, Jeanne F., Todd C. McDevitt, Sean P. Palecek, et al.. (2014). A Global Assessment of Stem Cell Engineering. Tissue Engineering Part A. 20(19-20). 2575–2589. 5 indexed citations

12.

Dey, Siddharth S., Yuhua Xue, Marcin P. Joachimiak, et al.. (2012). Mutual Information Analysis Reveals Coevolving Residues in Tat That Compensate for Two Distinct Functions in HIV-1 Gene Expression. Journal of Biological Chemistry. 287(11). 7945–7955. 9 indexed citations

13.

Yin, Lu, B. Masella, Deniz Dalkara, et al.. (2012). In vivo imaging of ganglion cell physiology in macaque fovea using a calcium indicator. Journal of Vision. 12(14). 55–55. 2 indexed citations

14.

Dalkara, Deniz, et al.. (2011). Developing Photoreceptor Targeted AAV Variant by Directed Evolution. Investigative Ophthalmology & Visual Science. 52(14). 4381–4381. 2 indexed citations

15.

Conboy, Irina M., David V. Schaffer, Mary Helen Barcellos‐Hoff, & Song Li. (2010). Protocols for Adult Stem Cells. Methods in molecular biology. 6 indexed citations

16.

Burnett, John, et al.. (2010). Combinatorial Latency Reactivation for HIV-1 Subtypes and Variants. Journal of Virology. 84(12). 5958–5974. 91 indexed citations

17.

Peltier, Joseph, Anthony Conway, Albert J. Keung, & David V. Schaffer. (2010). Akt Increases Sox2 Expression in Adult Hippocampal Neural Progenitor Cells, but Increased Sox2 Does Not Promote Proliferation. Stem Cells and Development. 20(7). 1153–1161. 25 indexed citations

18.

Excoffon, Katherine J. D. A., James T. Koerber, David D. Dickey, et al.. (2009). Directed evolution of adeno-associated virus to an infectious respiratory virus. Proceedings of the National Academy of Sciences. 106(10). 3865–3870. 135 indexed citations

19.

Agrawal, Smita, Colin Archer, & David V. Schaffer. (2009). Computational Models of the Notch Network Elucidate Mechanisms of Context-dependent Signaling. PLoS Computational Biology. 5(5). e1000390–e1000390. 55 indexed citations

20.

Saha, Krishanu & David V. Schaffer. (2006). Signal dynamics in Sonic hedgehog tissue patterning. Development. 133(5). 889–900. 91 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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