Tracy Staton

1.5k total citations · 1 hit paper
32 papers, 961 citations indexed

About

Tracy Staton is a scholar working on Immunology, Physiology and Molecular Biology. According to data from OpenAlex, Tracy Staton has authored 32 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 17 papers in Physiology and 6 papers in Molecular Biology. Recurrent topics in Tracy Staton's work include Asthma and respiratory diseases (16 papers), IL-33, ST2, and ILC Pathways (9 papers) and Eosinophilic Esophagitis (5 papers). Tracy Staton is often cited by papers focused on Asthma and respiratory diseases (16 papers), IL-33, ST2, and ILC Pathways (9 papers) and Eosinophilic Esophagitis (5 papers). Tracy Staton collaborates with scholars based in United States, United Kingdom and Canada. Tracy Staton's co-authors include Eugene C. Butcher, Tohru Sato, Laurie H. Glimcher, Brent Johnston, Vanja Lazarevic, Elena Gallo, David F. Choy, Dan R. Littman, Wenkai Xiang and Henrik Thorlacius and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Immunology.

In The Last Decade

Tracy Staton

29 papers receiving 942 citations

Hit Papers

Astegolimab (anti-ST2) efficacy and safety in adults with... 2021 2026 2022 2024 2021 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tracy Staton United States 15 652 251 154 126 122 32 961
Remo Poto Italy 21 590 0.9× 469 1.9× 167 1.1× 196 1.6× 124 1.0× 51 1.2k
James A. Listman United States 12 541 0.8× 224 0.9× 124 0.8× 180 1.4× 23 0.2× 22 817
Valentina Sorbello Italy 16 263 0.4× 398 1.6× 111 0.7× 290 2.3× 66 0.5× 23 863
Felice Rivellese United Kingdom 21 713 1.1× 255 1.0× 154 1.0× 245 1.9× 117 1.0× 54 1.4k
Donna K. Finch United Kingdom 16 303 0.5× 191 0.8× 121 0.8× 232 1.8× 47 0.4× 25 803
Simon J. Cleary United Kingdom 14 229 0.4× 86 0.3× 101 0.7× 132 1.0× 47 0.4× 29 683
Saloumeh K Fischer United States 16 464 0.7× 600 2.4× 88 0.6× 396 3.1× 116 1.0× 45 1.3k
Masayoshi Miura Japan 17 473 0.7× 54 0.2× 206 1.3× 189 1.5× 246 2.0× 74 1.1k
Anastasiya Hladik Austria 13 613 0.9× 126 0.5× 37 0.2× 291 2.3× 175 1.4× 26 1.0k
Jun‐Ichi Masuyama Japan 15 424 0.7× 76 0.3× 186 1.2× 243 1.9× 64 0.5× 33 896

Countries citing papers authored by Tracy Staton

Since Specialization
Citations

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

Fields of papers citing papers by Tracy Staton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tracy Staton

This figure shows the co-authorship network connecting the top 25 collaborators of Tracy Staton. A scholar is included among the top collaborators of Tracy Staton 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 Tracy Staton. Tracy Staton 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
1.
Li, Olga, Jason A. Hackney, David F. Choy, et al.. (2024). A targeted amplicon next-generation sequencing assay for tryptase genotyping to support personalized therapy in mast cell-related disorders. PLoS ONE. 19(2). e0291947–e0291947. 2 indexed citations
2.
Henderson, Lindsay M., Tracy Staton, Fang Cai, et al.. (2023). A mechanistic PK/PD model to enable dose selection of the potent anti‐tryptase antibody (MTPS9579A) in patients with moderate‐to‐severe asthma. Clinical and Translational Science. 16(4). 694–703. 2 indexed citations
3.
Kelsen, Steven G., Ioana Agache, Weily Soong, et al.. (2021). Astegolimab (anti-ST2) efficacy and safety in adults with severe asthma: A randomized clinical trial. Journal of Allergy and Clinical Immunology. 148(3). 790–798. 195 indexed citations breakdown →
4.
Sukumaran, Siddharth, Gizette Sperinde, Meire Bremer, et al.. (2021). Dose‐dependent inactivation of airway tryptase with a novel dissociating anti‐tryptase antibody (MTPS9579A) in healthy participants: A randomized trial. Clinical and Translational Science. 15(2). 451–463. 16 indexed citations
5.
Svensson, Robin J., Jakob Ribbing, Naoki Kotani, et al.. (2021). Population repeated time‐to‐event analysis of exacerbations in asthma patients: A novel approach for predicting asthma exacerbations based on biomarkers, spirometry, and diaries/questionnaires. CPT Pharmacometrics & Systems Pharmacology. 10(10). 1221–1235. 7 indexed citations
8.
Cai, Fang, et al.. (2019). Evaluation of urea as a normalization factor for nasosorption samples. PA4256–PA4256.
9.
Abbas, Alexander R., Surinder Jeet, Kit Hong Wong, et al.. (2019). IL-17A is associated with the breakdown of the blood-brain barrier in relapsing-remitting multiple sclerosis. Journal of Neuroimmunology. 332. 147–154. 71 indexed citations
11.
Choy, David F., Tracy Staton, Jeffrey M. Harris, et al.. (2017). Peripheral blood eosinophil and neutrophil counts independently predict asthma exacerbations. PA4751–PA4751. 1 indexed citations
12.
Cai, Fang, Meire Bremer, Dennis Milanowski, et al.. (2016). Development of a multi-matrix LC–MS/MS method for urea quantitation and its application in human respiratory disease studies. Journal of Pharmaceutical and Biomedical Analysis. 133. 96–104. 15 indexed citations
13.
Staton, Tracy, David F. Choy, & Joseph R. Arron. (2016). Biomarkers in the Clinical Development of Asthma Therapies. Biomarkers in Medicine. 10(2). 165–176. 10 indexed citations
14.
Staton, Tracy, Vanja Lazarevic, Dallas C. Jones, et al.. (2011). Dampening of death pathways by schnurri-2 is essential for T-cell development. Nature. 472(7341). 105–109. 32 indexed citations
15.
Lazarevic, Vanja, Alfred J. Zullo, Tracy Staton, et al.. (2009). The gene encoding early growth response 2, a target of the transcription factor NFAT, is required for the development and maturation of natural killer T cells. Nature Immunology. 10(3). 306–313. 135 indexed citations
16.
Gallo, Elena, Lena Ho, Monte M. Winslow, Tracy Staton, & Robert H. Crabtree. (2008). Selective role of calcineurin in haematopoiesis and lymphopoiesis. EMBO Reports. 9(11). 1141–1148. 18 indexed citations
17.
Meyer, Everett, Marc‐André Wurbel, Tracy Staton, et al.. (2007). iNKT Cells Require CCR4 to Localize to the Airways and to Induce Airway Hyperreactivity. The Journal of Immunology. 179(7). 4661–4671. 40 indexed citations
18.
Staton, Tracy, Aida Habtezion, Monte M. Winslow, et al.. (2006). CD8+ recent thymic emigrants home to and efficiently repopulate the small intestine epithelium. Nature Immunology. 7(5). 482–488. 89 indexed citations
19.
Sato, Tohru, Henrik Thorlacius, Brent Johnston, et al.. (2005). Role for CXCR6 in Recruitment of Activated CD8+ Lymphocytes to Inflamed Liver. The Journal of Immunology. 174(1). 277–283. 139 indexed citations
20.
Staton, Tracy, Brent Johnston, Eugene C. Butcher, & Daniel Campbell. (2004). Murine CD8+ Recent Thymic Emigrants are αE Integrin-Positive and CC Chemokine Ligand 25 Responsive. The Journal of Immunology. 172(12). 7282–7288. 28 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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