David Van Vactor
Impact in
- Cellular and Molecular Neuroscience top 0.5%
- Axon Guidance and Neuronal Signaling
- Neurobiology and Insect Physiology Research
- Developmental Neuroscience top 0.5%
Papers in
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- Axon Guidance and Neuronal Signaling 33
- Neurobiology and Insect Physiology Research 25
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- Developmental Biology and Gene Regulation 11
- Co-authors
- Laura Anne Lowery (2 shared papers)Karl G. Johnson (7 shared papers)Jack R Bateman (5 shared papers)Corey S. Goodman (4 shared papers)Tudor A. Fulga (16 shared papers)Elizabeth M. McNeill (6 shared papers)Zachary P. Wills (4 shared papers)Nancy Kaufmann (4 shared papers)
- Journals
- Neuron (11 papers)Current Biology (8 papers)Genetics (5 papers)Development (5 papers)Cell (5 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
David Van Vactor
96 papers receiving 6.5k citations
David Van Vactor's Hit Papers
Peers
Comparison fields: 5 of 147
- Cellular and Molecular Neuroscience 3.1k
- Developmental Neuroscience 580
- Aging 265
- Cell Biology 2.4k
- Molecular Biology 4.0k
Countries citing papers authored by David Van Vactor
This map shows the geographic impact of David Van Vactor'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 Van Vactor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Van Vactor more than expected).
Fields of papers citing papers by David Van Vactor
This network shows the impact of papers produced by David Van Vactor. 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 Van Vactor. The network helps show where David Van Vactor may publish in the future.
Co-authors
The 25 scholars most cited alongside David Van Vactor, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The trip of the tip: understanding the growth cone machinery Hit paper breakdown → | 2009 | 596 |
| 2 | 1993 | 386 | |
| 3 | 1996 | 305 | |
| 4 | 1999 | 268 | |
| 5 | 2002 | 243 | |
| 6 | 2012 | 233 | |
| 7 | 2006 | 207 | |
| 8 | 2000 | 195 | |
| 9 | 2003 | 192 | |
| 10 | 2004 | 178 | |
| 11 | 1999 | 176 | |
| 12 | 2015 | 173 | |
| 13 | 2009 | 154 | |
| 14 | 1988 | 154 | |
| 15 | 2004 | 149 | |
| 16 | 2008 | 144 | |
| 17 | 2015 | 136 | |
| 18 | 1998 | 136 | |
| 19 | 1998 | 127 | |
| 20 | 2005 | 122 |
About David Van Vactor
David Van Vactor is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology, Cancer Research and Immunology, having authored 96 papers that have together received 6.6k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (33 papers), Neurobiology and Insect Physiology Research (25 papers), Hippo pathway signaling and YAP/TAZ (15 papers), Microtubule and mitosis dynamics (13 papers), Cellular Mechanics and Interactions (13 papers), MicroRNA in disease regulation (13 papers), Cellular transport and secretion (12 papers) and Developmental Biology and Gene Regulation (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.1k citations), Developmental Neuroscience (580 citations), Aging (265 citations), Cell Biology (2.4k citations) and Molecular Biology (4.0k citations). David Van Vactor has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Laura Anne Lowery, Karl G. Johnson, Jack R Bateman, Corey S. Goodman, Tudor A. Fulga, Elizabeth M. McNeill, Zachary P. Wills, Nancy Kaufmann, Hong Wan and Christopher A. Korey. Their work appears in journals such as Neuron, Current Biology, Genetics, Development and Cell.
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.