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

Substrate Modulus Directs Neural Stem Cell Behavior 2002 2026 2010 2018 2008 2016 2002 2014 2013 250 500 750

Peers

David V. Schaffer
Comparison fields: 5 of 180
  • Molecular Biology 13.4k
  • Genetics 5.3k
  • Biomedical Engineering 4.4k
  • Cellular and Molecular Neuroscience 3.5k
  • Cell Biology 1.9k
Replace Xandra O. Breakefield with:
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Joseph Itskovitz‐Eldor Israel
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Citations per field, relative to David V. Schaffer
David V. Schaffer · 1×
Citations per year, relative to David V. Schaffer
David V. Schaffer · 1×

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

20 of 20 papers shown
# Work Indexed citations
1 1
2 2
3 10
4 21
5 19
6 41
7 6
8 6
9 29
10 26
11 5
12 9
13 2
14
Developing Photoreceptor Targeted AAV Variant by Directed Evolution
2
15 6
16 91
17 25
18 135
19 55
20 91

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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