Scott Stawicki

5.6k total citations · 1 hit paper
16 papers, 2.7k citations indexed

About

Scott Stawicki is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Scott Stawicki has authored 16 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Immunology. Recurrent topics in Scott Stawicki's work include Angiogenesis and VEGF in Cancer (6 papers), Axon Guidance and Neuronal Signaling (5 papers) and Glycosylation and Glycoproteins Research (3 papers). Scott Stawicki is often cited by papers focused on Angiogenesis and VEGF in Cancer (6 papers), Axon Guidance and Neuronal Signaling (5 papers) and Glycosylation and Glycoproteins Research (3 papers). Scott Stawicki collaborates with scholars based in United States, France and Germany. Scott Stawicki's co-authors include Marc Tessier‐Lavigne, Yan Wu, Yan Wu, Ryan J. Watts, Yvan H. Chanthery, Gregory D. Plowman, Joe Kowalski, Carla J. Shatz, Jasvinder K. Atwal and Mallika Singh and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Scott Stawicki

16 papers receiving 2.6k citations

Hit Papers

Inhibition of Dll4 signalling inhibits tumour growth by d... 2006 2026 2012 2019 2006 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Inhibition of Dll4 signalling inhibits tumour growth by deregulating angiogenesis
    2006 765 citations John Brady Ridgway, Gu Zhang et al. Nature profile →

Peers

Scott Stawicki
Clayton Small United States
Joseph H. McCarty United States
Rod Bremner Canada
Anthony M.P. Montgomery United States
Stephen Meek United Kingdom
Geraldine Mbamalu Canada
Richard Mitter United Kingdom
Chungyee Leung-Hagesteijn Canada
Andrea Hellwig Germany
Yaron R. Hadari United States
Clayton Small United States
Scott Stawicki
Citations per year, relative to Scott Stawicki Scott Stawicki (= 1×) peers Clayton Small

Countries citing papers authored by Scott Stawicki

Since Specialization
Citations

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

Fields of papers citing papers by Scott Stawicki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Stawicki

This figure shows the co-authorship network connecting the top 25 collaborators of Scott Stawicki. A scholar is included among the top collaborators of Scott Stawicki 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 Scott Stawicki. Scott Stawicki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Chan, Jocelyn, Lily Shao, Scott Stawicki, et al.. (2022). Systematic pharmacological analysis of agonistic and antagonistic fibroblast growth factor receptor 1 MAbs reveals a similar unique mode of action. Journal of Biological Chemistry. 299(1). 102729–102729. 1 indexed citations
2.
Ciferri, Claudio, Michael T. Lipari, Wei‐Ching Liang, et al.. (2015). The trimeric serine protease HtrA1 forms a cage-like inhibition complex with an anti-HtrA1 antibody. Biochemical Journal. 472(2). 169–181. 16 indexed citations
3.
Ma, Xiaolei, WeiYu Lin, Yongmei Chen, et al.. (2012). Structural Basis for the Dual Recognition of Helical Cytokines IL-34 and CSF-1 by CSF-1R. Structure. 20(4). 676–687. 138 indexed citations
4.
Stawicki, Scott, Suzana S. Couto, Jeffrey Eastham‐Anderson, et al.. (2010). An anti-Axl monoclonal antibody attenuates xenograft tumor growth and enhances the effect of multiple anticancer therapies. Oncogene. 29(38). 5254–5264. 182 indexed citations
5.
Gong, Yan, Eric Bourhis, Cecilia Chiu, et al.. (2010). Wnt Isoform-Specific Interactions with Coreceptor Specify Inhibition or Potentiation of Signaling by LRP6 Antibodies. PLoS ONE. 5(9). e12682–e12682. 173 indexed citations
6.
Mao, Weiguang, Janet Tien, David M. Goldenberg, et al.. (2010). Abstract 4289: Early study on LGR5/GPR49 molecule as a potential colon cancer stem cell target for the antibody conjugated drug treatment. Cancer Research. 70(8_Supplement). 4289–4289. 1 indexed citations
7.
Boles, Kent S., Anne H. Schmieder, Alexander W. Koch, et al.. (2010). MR angiogenesis imaging with Robo4‐ vs . α V β 3 ‐targeted nanoparticles in a B16/F10 mouse melanoma model. The FASEB Journal. 24(11). 4262–4270. 28 indexed citations
8.
Qing, Jing, Xiangnan Du, Yongmei Chen, et al.. (2009). Antibody-based targeting of FGFR3 in bladder carcinoma and t(4;14)-positive multiple myeloma in mice. Journal of Clinical Investigation. 119(5). 1216–1229. 197 indexed citations
9.
Katschke, Kenneth J., Scott Stawicki, Jianping Yin, et al.. (2009). Structural and Functional Analysis of a C3b-specific Antibody That Selectively Inhibits the Alternative Pathway of Complement. Journal of Biological Chemistry. 284(16). 10473–10479. 48 indexed citations
10.
Atwal, Jasvinder K., et al.. (2008). PirB is a Functional Receptor for Myelin Inhibitors of Axonal Regeneration. Science. 322(5903). 967–970. 382 indexed citations
11.
Yan, Minhong, John Brady Ridgway, Gu Zhang, et al.. (2007). Blocking of DLL4/Notch signaling deregulates tumor angiogenesis. Cancer Research. 67. 1621–1621. 1 indexed citations
12.
Pan, Qi, Yvan H. Chanthery, Wei‐Ching Liang, et al.. (2007). Blocking Neuropilin-1 Function Has an Additive Effect with Anti-VEGF to Inhibit Tumor Growth. Cancer Cell. 11(1). 53–67. 425 indexed citations
13.
Appleton, B.A., Ping Wu, Janice Maloney, et al.. (2007). Structural studies of neuropilin/antibody complexes provide insights into semaphorin and VEGF binding. The EMBO Journal. 26(23). 4902–4912. 157 indexed citations
14.
Wu, Yan, Charles Eigenbrot, Wei‐Ching Liang, et al.. (2007). Structural insight into distinct mechanisms of protease inhibition by antibodies. Proceedings of the National Academy of Sciences. 104(50). 19784–19789. 58 indexed citations
15.
Ridgway, John Brady, Gu Zhang, Yan Wu, et al.. (2006). Inhibition of Dll4 signalling inhibits tumour growth by deregulating angiogenesis. Nature. 444(7122). 1083–1087. 765 indexed citations breakdown →
16.
Liang, Wei‐Ching, Mark S. Dennis, Scott Stawicki, et al.. (2006). Function Blocking Antibodies to Neuropilin-1 Generated from a Designed Human Synthetic Antibody Phage Library. Journal of Molecular Biology. 366(3). 815–829. 97 indexed citations

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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