David Van Vactor
Impact in
- Cellular and Molecular Neuroscience top 0.5%
- Axon Guidance and Neuronal Signaling
- Neurobiology and Insect Physiology Research
- Aging top 1%
Papers in ⓘ
-
- Axon Guidance and Neuronal Signaling 32
- Neurobiology and Insect Physiology Research 24
- Cell Biology 42
- Cellular Mechanics and Interactions 15
- Hippo pathway signaling and YAP/TAZ 15
- Microtubule and mitosis dynamics 11
- Cellular transport and secretion 10
- 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)Cell (5 papers)Genetics (5 papers)Development (5 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
David Van Vactor
91 papers receiving 6.3k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Cellular and Molecular Neuroscience 3.1k
- Aging 258
- Cell Biology 2.4k
- Developmental Neuroscience 562
- 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 92 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 | 569 |
| 2 | 1993 | 379 | |
| 3 | 1996 | 302 | |
| 4 | 1999 | 258 | |
| 5 | 2002 | 233 | |
| 6 | 2012 | 221 | |
| 7 | 2006 | 199 | |
| 8 | 2000 | 194 | |
| 9 | 2003 | 187 | |
| 10 | 2004 | 171 | |
| 11 | 1999 | 170 | |
| 12 | 2015 | 167 | |
| 13 | 1988 | 150 | |
| 14 | 2009 | 150 | |
| 15 | 2008 | 139 | |
| 16 | 2004 | 136 | |
| 17 | 2015 | 133 | |
| 18 | 1998 | 132 | |
| 19 | 1998 | 122 | |
| 20 | 2005 | 117 |
About David Van Vactor
David Van Vactor is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Aging, Developmental Neuroscience and Cancer Research, having authored 92 papers that have together received 6.4k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (32 papers), Neurobiology and Insect Physiology Research (24 papers), Cellular Mechanics and Interactions (15 papers), Hippo pathway signaling and YAP/TAZ (15 papers), MicroRNA in disease regulation (13 papers), Developmental Biology and Gene Regulation (12 papers), Microtubule and mitosis dynamics (11 papers) and Cellular transport and secretion (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.1k citations), Aging (258 citations), Cell Biology (2.4k citations), Developmental Neuroscience (562 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, Cell, Genetics and Development.
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.