Michael G. Constantinides

4.9k total citations · 2 hit papers
38 papers, 3.4k citations indexed

About

Michael G. Constantinides is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Michael G. Constantinides has authored 38 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Immunology, 6 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Michael G. Constantinides's work include Immune Cell Function and Interaction (26 papers), T-cell and B-cell Immunology (16 papers) and IL-33, ST2, and ILC Pathways (10 papers). Michael G. Constantinides is often cited by papers focused on Immune Cell Function and Interaction (26 papers), T-cell and B-cell Immunology (16 papers) and IL-33, ST2, and ILC Pathways (10 papers). Michael G. Constantinides collaborates with scholars based in United States, France and China. Michael G. Constantinides's co-authors include Albert Bendelac, Benjamin D. McDonald, Philip A. Verhoef, James H. Fownes, Adam K. Savage, Damien Picard, Jin Han, Olivier Lantz, Emmanuel Martin and Bofeng Li and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Michael G. Constantinides

37 papers receiving 3.3k citations

Hit Papers

A committed precursor to innate lymphoid cells 2008 2026 2014 2020 2014 2008 200 400 600

Peers

Michael G. Constantinides
W. van den Berg Netherlands
Ryan T. Phan United States
Lisa G. Gregory United Kingdom
W. van den Berg Netherlands
Michael G. Constantinides
Citations per year, relative to Michael G. Constantinides Michael G. Constantinides (= 1×) peers W. van den Berg

Countries citing papers authored by Michael G. Constantinides

Since Specialization
Citations

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

Fields of papers citing papers by Michael G. Constantinides

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael G. Constantinides. 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 Michael G. Constantinides. The network helps show where Michael G. Constantinides may publish in the future.

Co-authorship network of co-authors of Michael G. Constantinides

This figure shows the co-authorship network connecting the top 25 collaborators of Michael G. Constantinides. A scholar is included among the top collaborators of Michael G. Constantinides 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 Michael G. Constantinides. Michael G. Constantinides 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.
Nagarajan, Vijayaraj, Jing Guo, Akriti Gupta, et al.. (2025). TLR2 supports γδ T cell IL-17A response to ocular surface commensals by metabolic reprogramming. The Journal of Experimental Medicine. 222(11).
2.
Constantinides, Michael G., et al.. (2024). Feeder cell training shapes the phenotype and function of in vitro expanded natural killer cells. SHILAP Revista de lepidopterología. 5(10). e740–e740. 2 indexed citations
3.
Campos‐Mora, Mauricio, William Jacot, Geneviève Garcin, et al.. (2023). NK cells in peripheral blood carry trogocytosed tumor antigens from solid cancer cells. Frontiers in Immunology. 14. 1199594–1199594. 4 indexed citations
4.
Falvo, Paolo, Nerea Allende-Vega, Michael G. Constantinides, et al.. (2022). The metabolism of cells regulates their sensitivity to NK cells depending on p53 status. Scientific Reports. 12(1). 3234–3234. 24 indexed citations
5.
Constantinides, Michael G., et al.. (2022). The role of unconventional T cells in maintaining tissue homeostasis. Seminars in Immunology. 61-64. 101656–101656. 7 indexed citations
6.
Lima‐Junior, Djalma S., Siddharth R. Krishnamurthy, Nicolas Bouladoux, et al.. (2021). Endogenous retroviruses promote homeostatic and inflammatory responses to the microbiota. Cell. 184(14). 3794–3811.e19. 120 indexed citations
7.
Vo, Dang-Nghiem, Michael G. Constantinides, Nerea Allende-Vega, et al.. (2020). Dissecting the NK Cell Population in Hematological Cancers Confirms the Presence of Tumor Cells and Their Impact on NK Population Function. Vaccines. 8(4). 727–727. 7 indexed citations
8.
Tamoutounour, Samira, Seong‐Ji Han, Julie Deckers, et al.. (2019). Keratinocyte-intrinsic MHCII expression controls microbiota-induced Th1 cell responses. Proceedings of the National Academy of Sciences. 116(47). 23643–23652. 58 indexed citations
9.
Ridaura, Vanessa K., Nicolas Bouladoux, Jan Claesen, et al.. (2018). Contextual control of skin immunity and inflammation by Corynebacterium. The Journal of Experimental Medicine. 215(3). 785–799. 154 indexed citations
10.
Malaise, Olivier, et al.. (2018). Cibler les cellules sénescentes. médecine/sciences. 34(6-7). 547–553. 4 indexed citations
11.
Clever, David, Rahul Roychoudhuri, Michael G. Constantinides, et al.. (2016). Oxygen Sensing by T Cells Establishes an Immunologically Tolerant Metastatic Niche. Cell. 166(5). 1117–1131.e14. 199 indexed citations
12.
Ishizuka, Isabel E., Sylvestre Chea, Herman Gudjonson, et al.. (2016). Single-cell analysis defines the divergence between the innate lymphoid cell lineage and lymphoid tissue–inducer cell lineage. Nature Immunology. 17(3). 269–276. 132 indexed citations
13.
Verhoef, Philip A., Michael G. Constantinides, Benjamin D. McDonald, et al.. (2015). Intrinsic functional defects of type 2 innate lymphoid cells impair innate allergic inflammation in promyelocytic leukemia zinc finger (PLZF)–deficient mice. Journal of Allergy and Clinical Immunology. 137(2). 591–600.e1. 27 indexed citations
14.
Constantinides, Michael G., Benjamin D. McDonald, Philip A. Verhoef, & Albert Bendelac. (2014). A committed precursor to innate lymphoid cells. Nature. 508(7496). 397–401. 623 indexed citations breakdown →
15.
Constantinides, Michael G. & Albert Bendelac. (2013). Transcriptional regulation of the NKT cell lineage. Current Opinion in Immunology. 25(2). 161–167. 188 indexed citations
16.
Bai, Li, Michael G. Constantinides, Seddon Y. Thomas, et al.. (2012). Distinct APCs Explain the Cytokine Bias of α-Galactosylceramide Variants In Vivo. The Journal of Immunology. 188(7). 3053–3061. 81 indexed citations
17.
Mathew, Rebecca, Michael P. Seiler, Seth Thomas Scanlon, et al.. (2012). BTB-ZF factors recruit the E3 ligase cullin 3 to regulate lymphoid effector programs. Nature. 491(7425). 618–621. 85 indexed citations
18.
Savage, Adam K., Michael G. Constantinides, Jin Han, et al.. (2008). The Transcription Factor PLZF Directs the Effector Program of the NKT Cell Lineage. Immunity. 29(3). 391–403. 563 indexed citations breakdown →
19.
Constantinides, Michael G., et al.. (1994). Effect of magnesium on early taro growth. Communications in Soil Science and Plant Analysis. 25(11-12). 2159–2169. 7 indexed citations
20.
Constantinides, Michael G. & James H. Fownes. (1993). Nitrogen mineralization patterns of leaf-twig mixtures from tropical leguminous trees. Agroforestry Systems. 24(3). 223–231. 8 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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