David Razafsky

1.6k citations
24 papers · 1.2k · h-index 15

Impact in

    • Microtubule and mitosis dynamics
    • Cellular Mechanics and Interactions
    • Cellular transport and secretion
    • Nuclear Structure and Function
    • RNA Research and Splicing
    • Genomics and Chromatin Dynamics
    • Photosynthetic Processes and Mechanisms

Papers in

    • Nuclear Structure and Function 15
    • RNA Research and Splicing 13
    • Genomics and Chromatin Dynamics 7
    • Viral Infectious Diseases and Gene Expression in Insects 3
    • Retinal Development and Disorders 3
    • Cellular transport and secretion 4
    • Microtubule and mitosis dynamics 4

David Razafsky

24 papers receiving 1.2k citations

Peers

David Razafsky
Comparison fields: 5 of 83
  • Cell Biology 677
  • Molecular Biology 868
  • Aging 19
  • Cellular and Molecular Neuroscience 119
  • Physiology 142
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Phuong Nguyen United States
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Maja Matis Germany
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Citations per field
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Citations per year

Countries citing papers authored by David Razafsky

Since Specialization
Citations

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

Fields of papers citing papers by David Razafsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Razafsky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Razafsky Line = papers co-authored together David Razafsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006348
2 2009192
3 2012181
4 2012132
5 200856
6 201236
7 201533
8 201626
9 201924
10 201321
11 201421
12 201720
13 201520
14 201718
15 201214
16 201413
17 201511
18 201611
19 20229
20 20118

About David Razafsky

David Razafsky is a scholar working on Molecular Biology, Cell Biology, Genetics, Infectious Diseases and Cellular and Molecular Neuroscience, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nuclear Structure and Function (15 papers), RNA Research and Splicing (13 papers), Genomics and Chromatin Dynamics (7 papers), Cellular transport and secretion (4 papers), Microtubule and mitosis dynamics (4 papers), Virus-based gene therapy research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and Retinal Development and Disorders (3 papers). The work is most often cited by research in Cell Biology (677 citations), Molecular Biology (868 citations), Aging (19 citations), Cellular and Molecular Neuroscience (119 citations) and Physiology (142 citations). David Razafsky has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Didier Hodzic, Stephen J. King, Michael Vershinin, Steven P. Gross, Denis Wirtz, Kai Jiang, Casper C. Hoogenraad, Ina Poser, Jeroen Demmers and Ilya Grigoriev. Their work appears in journals such as Scientific Reports, genesis, Journal of Visualized Experiments, Molecular Biology of the Cell and Neurobiology of Disease.

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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