Matthew Camiolo

1.7k total citations
14 papers, 1.2k citations indexed

About

Matthew Camiolo is a scholar working on Physiology, Molecular Biology and Immunology. According to data from OpenAlex, Matthew Camiolo has authored 14 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 6 papers in Molecular Biology and 5 papers in Immunology. Recurrent topics in Matthew Camiolo's work include Asthma and respiratory diseases (8 papers), IL-33, ST2, and ILC Pathways (5 papers) and RNA modifications and cancer (2 papers). Matthew Camiolo is often cited by papers focused on Asthma and respiratory diseases (8 papers), IL-33, ST2, and ILC Pathways (5 papers) and RNA modifications and cancer (2 papers). Matthew Camiolo collaborates with scholars based in United States, Australia and Austria. Matthew Camiolo's co-authors include Raffaella Sordella, Anuradha Ray, Scott W. Lowe, Sally E. Wenzel, Marc Gauthier, Nasser K. Altorki, Brendon M. Stiles, Zhan Yao, Ding Cheng Gao and Michaela Schlederer and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Physiological Reviews.

In The Last Decade

Matthew Camiolo

13 papers receiving 1.2k citations

Peers

Matthew Camiolo
Nathan Ungerleider United States
Valeria Cancila Italy
Jens Volkmer United States
Deblina Raychaudhuri India
Katri Vuopala Finland
Weina Yu China
Yuzhi Yin United States
Cinzia Bagalá Italy
Jan Sjöberg Sweden
Kota Iwahori Japan
Nathan Ungerleider United States
Matthew Camiolo
Citations per year, relative to Matthew Camiolo Matthew Camiolo (= 1×) peers Nathan Ungerleider

Countries citing papers authored by Matthew Camiolo

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Camiolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Camiolo

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

All Works

14 of 14 papers shown
1.
2.
Hagner, Matthias, Anuradha Ray, Serpil C. Erzurum, et al.. (2023). Bronchial epithelial cell transcriptional responses to inhaled corticosteroids dictate severe asthmatic outcomes. Journal of Allergy and Clinical Immunology. 151(6). 1513–1524. 6 indexed citations
3.
Camiolo, Matthew, Sally E. Wenzel, & Anuradha Ray. (2021). Using ICLite for deconvolution of bulk transcriptional data from mixed cell populations. STAR Protocols. 2(4). 100847–100847. 2 indexed citations
4.
Camiolo, Matthew, Xiuxia Zhou, Qi Wei, et al.. (2021). Machine learning implicates the IL-18 signaling axis in severe asthma. JCI Insight. 6(21). 16 indexed citations
5.
Gauthier, Marc, Timothy B. Oriss, Sudipta Das, et al.. (2021). Dual role for CXCR3 and CCR5 in asthmatic type 1 inflammation. Journal of Allergy and Clinical Immunology. 149(1). 113–124.e7. 27 indexed citations
6.
Camiolo, Matthew, Xiaoying Zhou, Timothy B. Oriss, et al.. (2021). High-dimensional profiling clusters asthma severity by lymphoid and non-lymphoid status. Cell Reports. 35(2). 108974–108974. 37 indexed citations
7.
Camiolo, Matthew, et al.. (2021). Immune responses and exacerbations in severe asthma. Current Opinion in Immunology. 72. 34–42. 13 indexed citations
8.
Camiolo, Matthew, Marc Gauthier, Naftali Kaminski, Anuradha Ray, & Sally E. Wenzel. (2020). Expression of SARS-CoV-2 receptor ACE2 and coincident host response signature varies by asthma inflammatory phenotype. Journal of Allergy and Clinical Immunology. 146(2). 315–324.e7. 79 indexed citations
9.
Ray, Anuradha, Matthew Camiolo, Anne M. Fitzpatrick, Marc Gauthier, & Sally E. Wenzel. (2020). Are We Meeting the Promise of Endotypes and Precision Medicine in Asthma?. Physiological Reviews. 100(3). 983–1017. 70 indexed citations
10.
Tasdemir, Nilgun, Ana Banito, Jae‐Seok Roe, et al.. (2016). BRD4 Connects Enhancer Remodeling to Senescence Immune Surveillance. Cancer Discovery. 6(6). 612–629. 278 indexed citations
11.
Şentürk, Şerif, Zhan Yao, Matthew Camiolo, et al.. (2014). p53Ψ is a transcriptionally inactive p53 isoform able to reprogram cells toward a metastatic-like state. Proceedings of the National Academy of Sciences. 111(32). E3287–96. 67 indexed citations
12.
Premsrirut, Prem K., Lukas E. Dow, Sang Yong Kim, et al.. (2011). A Rapid and Scalable System for Studying Gene Function in Mice Using Conditional RNA Interference. Cell. 145(1). 145–158. 235 indexed citations
13.
Prasanth, Kannanganattu V., Matthew Camiolo, Vidisha Tripathi, et al.. (2010). Nuclear Organization and Dynamics of 7SK RNA in Regulating Gene Expression. Molecular Biology of the Cell. 21(23). 4184–4196. 56 indexed citations
14.
Yao, Zhan, Silvia Fenoglio, Ding Cheng Gao, et al.. (2010). TGF-β IL-6 axis mediates selective and adaptive mechanisms of resistance to molecular targeted therapy in lung cancer. Proceedings of the National Academy of Sciences. 107(35). 15535–15540. 326 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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