Scott A. Weed
Impact in
- Immunology and Allergy top 0.2%
- Cell Adhesion Molecules Research
- Cell Biology top 0.2%
- Cellular Mechanics and Interactions
- Cellular transport and secretion
- Microtubule and mitosis dynamics
Papers in
-
- Cell Adhesion Molecules Research 18
- Cell Biology 37
- Cellular Mechanics and Interactions 34
- Microtubule and mitosis dynamics 4
- Co-authors
- J. Thomas ParsonsJohn A. CooperAmanda G. AmmerAndrei V. KarginovKaren H. MartinAlissa M. WeaverJill K. SlackJoan M. Taylor
- Journals
- Journal of Cell Science (5 papers)Journal of Visualized Experiments (5 papers)Oncogene (4 papers)Molecular Cancer Research (3 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- United StatesAustraliaFrance
In The Last Decade
Scott A. Weed
62 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Immunology and Allergy 1.4k
- Cell Biology 2.5k
- Molecular Biology 2.4k
- Cancer Research 501
- Biophysics 176
Countries citing papers authored by Scott A. Weed
This map shows the geographic impact of Scott A. Weed'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 Scott A. Weed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott A. Weed more than expected).
Fields of papers citing papers by Scott A. Weed
This network shows the impact of papers produced by Scott A. Weed. 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 Scott A. Weed. The network helps show where Scott A. Weed may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott A. Weed, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 7 | |
| 2 | 2021 | 1 | |
| 3 | 2019 | 12 | |
| 4 | 2015 | 5 | |
| 5 | 2015 | 1 | |
| 6 | 2014 | 33 | |
| 7 | 2013 | 24 | |
| 8 | 2013 | 56 | |
| 9 | 2011 | 6 | |
| 10 | 2011 | 27 | |
| 11 | 2011 | 19 | |
| 12 | 2009 | 38 | |
| 13 | 2008 | 221 | |
| 14 | 2008 | 35 | |
| 15 | 2007 | 190 | |
| 16 | Cortactin is required for lamellipodia retraction in MTLn3 Breast Cancer Cells | 2006 | 1 |
| 17 | 2003 | 149 | |
| 18 | 2002 | 163 | |
| 19 | 2001 | 486 | |
| 20 | 1997 | 31 |
About Scott A. Weed
Scott A. Weed is a scholar working on Immunology and Allergy, Cell Biology, Biophysics, Otorhinolaryngology and Cancer Research, having authored 62 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (34 papers), Cell Adhesion Molecules Research (18 papers), Erythrocyte Function and Pathophysiology (8 papers), 3D Printing in Biomedical Research (8 papers), Cell Image Analysis Techniques (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers), Protease and Inhibitor Mechanisms (5 papers) and Microtubule and mitosis dynamics (4 papers). The work is most often cited by research in Immunology and Allergy (1.4k citations), Cell Biology (2.5k citations), Molecular Biology (2.4k citations), Cancer Research (501 citations) and Biophysics (176 citations). Scott A. Weed has collaborated with scholars based in United States, Australia and France. Frequent co-authors include J. Thomas Parsons, John A. Cooper, Amanda G. Ammer, J. Thomas Parsons, Andrei V. Karginov, J. Thomas Parsons, Karen H. Martin, Alissa M. Weaver, Jill K. Slack and Joan M. Taylor. Their work appears in journals such as Journal of Cell Science, Journal of Visualized Experiments, Oncogene, Molecular Cancer Research and Journal of Biological Chemistry.
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.