Tracey Sciuto

3.4k total citations · 1 hit paper
22 papers, 1.8k citations indexed

About

Tracey Sciuto is a scholar working on Molecular Biology, Immunology and Allergy and Immunology. According to data from OpenAlex, Tracey Sciuto has authored 22 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Immunology and Allergy and 9 papers in Immunology. Recurrent topics in Tracey Sciuto's work include Cell Adhesion Molecules Research (8 papers), Angiogenesis and VEGF in Cancer (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Tracey Sciuto is often cited by papers focused on Cell Adhesion Molecules Research (8 papers), Angiogenesis and VEGF in Cancer (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Tracey Sciuto collaborates with scholars based in United States, Netherlands and Canada. Tracey Sciuto's co-authors include Ann M. Dvořàk, Francis W. Luscinskas, Lin Yang, R. Alon, Christopher V. Carman, Harold F. Dvorak, Peter T. Sage, Timothy A. Springer, Miguel Á. de la Fuente and Raif S. Geha and has published in prestigious journals such as Nature Communications, The Journal of Cell Biology and Blood.

In The Last Decade

Tracey Sciuto

21 papers receiving 1.8k citations

Hit Papers

ICAM-1 regulates neutrophil adhesion and transcellular mi... 2005 2026 2012 2019 2005 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tracey Sciuto United States 15 710 585 510 394 277 22 1.8k
Elżbieta Pluskota United States 25 729 1.0× 509 0.9× 571 1.1× 271 0.7× 199 0.7× 56 1.7k
Maike Frye Germany 18 809 1.1× 342 0.6× 260 0.5× 287 0.7× 312 1.1× 31 1.6k
Kati Elima Finland 28 884 1.2× 734 1.3× 300 0.6× 256 0.6× 538 1.9× 53 2.3k
Abigail Woodfin United Kingdom 19 919 1.3× 1.2k 2.1× 768 1.5× 279 0.7× 233 0.8× 24 2.6k
Marie–Dominique Filippi United States 24 1.2k 1.7× 1.2k 2.0× 327 0.6× 413 1.0× 281 1.0× 55 2.9k
Miguel Á. de la Fuente Spain 26 813 1.1× 1.1k 1.8× 661 1.3× 584 1.5× 324 1.2× 65 2.3k
Mikaela Grönholm Finland 26 1.1k 1.6× 358 0.6× 416 0.8× 568 1.4× 337 1.2× 44 2.3k
Zoltán Jakus Hungary 22 674 0.9× 994 1.7× 445 0.9× 146 0.4× 532 1.9× 41 2.2k
Brian G. Petrich United States 28 1.1k 1.5× 512 0.9× 908 1.8× 541 1.4× 185 0.7× 57 2.5k
Jenny Jongstra‐Bilen Canada 30 1.3k 1.9× 1.5k 2.5× 453 0.9× 276 0.7× 703 2.5× 47 2.8k

Countries citing papers authored by Tracey Sciuto

Since Specialization
Citations

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

Fields of papers citing papers by Tracey Sciuto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tracey Sciuto

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

All Works

20 of 20 papers shown
2.
Bushway, Meghan E., Ying S. Ting, Rana H. Besada, et al.. (2019). Abstract 5006: Comprehensive gene expression analysis of the tumor microenvironment in patients with advanced cancer treated with a personalized neoantigen vaccine, NEO-PV-01, in combination with anti-PD1. Cancer Research. 79(13_Supplement). 5006–5006. 1 indexed citations
3.
Prete, Alessandro, Agnes S. Lo, Peter M. Sadow, et al.. (2018). Pericytes Elicit Resistance to Vemurafenib and Sorafenib Therapy in Thyroid Carcinoma via the TSP-1/TGFβ1 Axis. Clinical Cancer Research. 24(23). 6078–6097. 46 indexed citations
4.
Grant, Marianne A., David Beeler, Katherine Spokes, et al.. (2017). Identification of extant vertebrate Myxine glutinosa VWF: evolutionary conservation of primary hemostasis. Blood. 130(23). 2548–2558. 11 indexed citations
5.
Sitohy, Basel, Sung-Hee Chang, Tracey Sciuto, et al.. (2017). Early Actions of Anti–Vascular Endothelial Growth Factor/Vascular Endothelial Growth Factor Receptor Drugs on Angiogenic Blood Vessels. American Journal Of Pathology. 187(10). 2337–2347. 19 indexed citations
6.
Yuan, Lei, Gary C. Chan, David Beeler, et al.. (2016). A role of stochastic phenotype switching in generating mosaic endothelial cell heterogeneity. Nature Communications. 7(1). 10160–10160. 69 indexed citations
7.
Sciuto, Tracey, Chi‐Iou Lin, Douglas S. Richardson, et al.. (2015). Intracellular distribution of TM4SF1 and internalization of TM4SF1-antibody complex in vascular endothelial cells. Biochemical and Biophysical Research Communications. 465(3). 338–343. 12 indexed citations
8.
Lin, Chi‐Iou, Tracey Sciuto, Dan Li, et al.. (2014). TM4SF1: a new vascular therapeutic target in cancer. Angiogenesis. 17(4). 897–907. 38 indexed citations
9.
Martinelli, Roberta, Peter T. Sage, Ramiro Massol, et al.. (2013). Release of cellular tension signals self-restorative ventral lamellipodia to heal barrier micro-wounds. The Journal of Cell Biology. 201(3). 449–465. 72 indexed citations
10.
Hoeppner, Luke H., Kathryn N. Phoenix, Karl J. Clark, et al.. (2012). Revealing the role of phospholipase Cβ3 in the regulation of VEGF-induced vascular permeability. Blood. 120(11). 2167–2173. 27 indexed citations
11.
Teo, Grace Sock Leng, James A. Ankrum, Roberta Martinelli, et al.. (2012). Mesenchymal Stem Cells Transmigrate Between and Directly Through Tumor Necrosis Factor‐α‐Activated Endothelial Cells Via Both Leukocyte‐Like and Novel Mechanisms. Stem Cells. 30(11). 2472–2486. 164 indexed citations
12.
Yang, Lin, et al.. (2012). -activated vascular endothelium under flow α TNF- ICAM-1 regulates neutrophil adhesion and transcellular migration of.
13.
Sage, Peter T., Roberta Martinelli, Tracey Sciuto, et al.. (2012). Antigen Recognition Is Facilitated by Invadosome-like Protrusions Formed by Memory/Effector T Cells. The Journal of Immunology. 188(8). 3686–3699. 118 indexed citations
14.
Ashida, Noboru, Sucharita SenBanerjee, Shohta Kodama, et al.. (2011). IKKβ regulates essential functions of the vascular endothelium through kinase-dependent and -independent pathways. Nature Communications. 2(1). 318–318. 36 indexed citations
15.
Li, Dan, Lay‐Hong Ang, Tracey Sciuto, et al.. (2011). TM4SF1: a tetraspanin-like protein necessary for nanopodia formation and endothelial cell migration. Angiogenesis. 14(3). 345–354. 48 indexed citations
16.
Chang, Sung-Hee, Dian Feng, Janice A. Nagy, et al.. (2009). Vascular Permeability and Pathological Angiogenesis in Caveolin-1-Null Mice. American Journal Of Pathology. 175(4). 1768–1776. 70 indexed citations
17.
Carman, Christopher V., Peter T. Sage, Tracey Sciuto, et al.. (2007). Transcellular Diapedesis Is Initiated by Invasive Podosomes. Immunity. 26(6). 784–797. 388 indexed citations
18.
19.
Yang, Lin, et al.. (2005). ICAM-1 regulates neutrophil adhesion and transcellular migration of TNF-α-activated vascular endothelium under flow. Blood. 106(2). 584–592. 574 indexed citations breakdown →
20.
Dvořàk, Ann M. & Tracey Sciuto. (2004). Mouse Spleen Basophils. International Archives of Allergy and Immunology. 134(4). 332–333. 4 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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