Tamara Chessa

829 total citations
10 papers, 350 citations indexed

About

Tamara Chessa is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Tamara Chessa has authored 10 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Immunology and 2 papers in Genetics. Recurrent topics in Tamara Chessa's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Immune Response and Inflammation (3 papers). Tamara Chessa is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Immune Response and Inflammation (3 papers). Tamara Chessa collaborates with scholars based in United Kingdom, United States and Netherlands. Tamara Chessa's co-authors include Phillip T. Hawkins, Len Stephens, Karen E. Anderson, Oliver Rausch, Suhasini Kulkarni, Keith Davidson, Julian Downward, Dávid Győri, Gavin E. Jarvis and Karin Scharffetter‐­Kochanek and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Blood and PLoS ONE.

In The Last Decade

Tamara Chessa

10 papers receiving 349 citations

Peers

Tamara Chessa
Aileen M. Smith United Kingdom
Emely A. Hoffman United States
Sanne M.M. Hensen Netherlands
Julián Pulecio United States
Ilangovan Raju United States
Aileen M. Smith United Kingdom
Tamara Chessa
Citations per year, relative to Tamara Chessa Tamara Chessa (= 1×) peers Aileen M. Smith

Countries citing papers authored by Tamara Chessa

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Chessa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamara Chessa

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

All Works

10 of 10 papers shown
1.
Wojdyła, Katarzyna, David Oxley, Tamara Chessa, et al.. (2021). PI3Kδ Forms Distinct Multiprotein Complexes at the TCR Signalosome in Naïve and Differentiated CD4+ T Cells. Frontiers in Immunology. 12. 631271–631271. 12 indexed citations
2.
Durrant, Tom N., Tamara Chessa, Sabine Suire, et al.. (2018). Quantitation of class IA PI3Ks in mice reveals p110-free-p85s and isoform-selective subunit associations and recruitment to receptors. Proceedings of the National Academy of Sciences. 115(48). 12176–12181. 38 indexed citations
3.
Győri, Dávid, Tamara Chessa, Phillip T. Hawkins, & Len Stephens. (2017). Class (I) Phosphoinositide 3-Kinases in the Tumor Microenvironment. Cancers. 9(3). 24–24. 32 indexed citations
4.
Anderson, Karen E., Tamara Chessa, Suhasini Kulkarni, et al.. (2016). Coincident signals from GPCRs and receptor tyrosine kinases are uniquely transduced by PI3Kβ in myeloid cells. Science Signaling. 9(441). ra82–ra82. 53 indexed citations
5.
Lindsay, Yvonne, Tamara Chessa, Hervé Guillou, et al.. (2015). Localizing the lipid products of PI3Kγ in neutrophils. Advances in Biological Regulation. 60. 36–45. 11 indexed citations
6.
Juvin, Véronique, Mouhannad Malek, Karen E. Anderson, et al.. (2013). Signaling via Class IA Phosphoinositide 3-Kinases (PI3K) in Human, Breast-Derived Cell Lines. PLoS ONE. 8(10). e75045–e75045. 10 indexed citations
7.
Anderson, Karen E., Tamara Chessa, Keith Davidson, et al.. (2010). PtdIns3P and Rac direct the assembly of the NADPH oxidase on a novel, pre-phagosomal compartment during FcR-mediated phagocytosis in primary mouse neutrophils. Blood. 116(23). 4978–4989. 51 indexed citations
8.
Chessa, Tamara, Karen E. Anderson, Yanhua Hu, et al.. (2010). Phosphorylation of threonine 154 in p40phox is an important physiological signal for activation of the neutrophil NADPH oxidase. Blood. 116(26). 6027–6036. 37 indexed citations
9.
Anderson, Karen E., Keith B. Boyle, Keith Davidson, et al.. (2008). CD18-dependent activation of the neutrophil NADPH oxidase during phagocytosis of Escherichia coli or Staphylococcus aureus is regulated by class III but not class I or II PI3Ks. Blood. 112(13). 5202–5211. 75 indexed citations
10.
Weinkove, David, Michael J. Bastiani, Tamara Chessa, et al.. (2007). Overexpression of PPK-1, the Caenorhabditis elegans Type I PIP kinase, inhibits growth cone collapse in the developing nervous system and causes axonal degeneration in adults. Developmental Biology. 313(1). 384–397. 31 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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