Michael Drennan

2.2k total citations
36 papers, 1.7k citations indexed

About

Michael Drennan is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Michael Drennan has authored 36 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 6 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Michael Drennan's work include Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (11 papers) and Research on Leishmaniasis Studies (3 papers). Michael Drennan is often cited by papers focused on Immune Cell Function and Interaction (15 papers), T-cell and B-cell Immunology (11 papers) and Research on Leishmaniasis Studies (3 papers). Michael Drennan collaborates with scholars based in Belgium, United States and United Kingdom. Michael Drennan's co-authors include Dirk Elewaut, Bernadette Earley, Nasiema Allie, Muazzam Jacobs, Jens Van Praet, Hermann Wagner, Carsten J. Kirschning, Joseph Mpagi, Cécile Fremond and Bernhard Ryffel and has published in prestigious journals such as Nature Communications, The Journal of Experimental Medicine and The EMBO Journal.

In The Last Decade

Michael Drennan

34 papers receiving 1.6k citations

Peers

Michael Drennan
Mary Ann South United States
Amy S. McKee United States
John V. Fahey United States
Jae‐Sook Ryu South Korea
Douglas C. Heiner United States
Michael Drennan
Citations per year, relative to Michael Drennan Michael Drennan (= 1×) peers Desirée van der Kleij

Countries citing papers authored by Michael Drennan

Since Specialization
Citations

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

Fields of papers citing papers by Michael Drennan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Drennan

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Drennan. A scholar is included among the top collaborators of Michael Drennan 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 Drennan. Michael Drennan 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.
Govindarajan, Srinath, Eveline Verheugen, Koen Venken, et al.. (2020). ER stress in antigen‐presenting cells promotes NKT cell activation through endogenous neutral lipids. EMBO Reports. 21(6). e48927–e48927. 29 indexed citations
2.
Govindarajan, Srinath, Djoere Gaublomme, Eveline Verheugen, et al.. (2018). Stabilization of cytokine mRNAs in iNKT cells requires the serine-threonine kinase IRE1alpha. Nature Communications. 9(1). 5340–5340. 16 indexed citations
3.
Menu, Eline, Djoere Gaublomme, Karin Vanderkerken, et al.. (2017). Leptin receptor antagonism of iNKT cell function: a novel strategy to combat multiple myeloma. Leukemia. 31(12). 2678–2685. 29 indexed citations
4.
Drennan, Michael, Srinath Govindarajan, Eveline Verheugen, et al.. (2016). NKT sublineage specification and survival requires the ubiquitin-modifying enzyme TNFAIP3/A20. The Journal of Experimental Medicine. 213(10). 1973–1981. 30 indexed citations
5.
Martens, Arne, Stijn Lambrecht, Peggy Jacques, et al.. (2016). A20 inhibition of STAT1 expression in myeloid cells: a novel endogenous regulatory mechanism preventing development of enthesitis. Annals of the Rheumatic Diseases. 76(3). 585–592. 58 indexed citations
6.
Wiele, Tom Van de, Jens Van Praet, Massimo Marzorati, Michael Drennan, & Dirk Elewaut. (2016). How the microbiota shapes rheumatic diseases. Nature Reviews Rheumatology. 12(7). 398–411. 117 indexed citations
7.
Cypers, Heleen, Gaëlle Varkas, Sam Beeckman, et al.. (2015). Elevated calprotectin levels reveal bowel inflammation in spondyloarthritis. Annals of the Rheumatic Diseases. 75(7). 1357–1362. 86 indexed citations
8.
Earley, Bernadette, Michael Drennan, & E.G. O’Riordan. (2013). The effect of road transport in comparison to a novel environment on the physiological, metabolic and behavioural responses of bulls. Research in Veterinary Science. 95(2). 811–818. 19 indexed citations
9.
Venken, Koen, Lennart Zabeau, Peggy Jacques, et al.. (2013). A bidirectional crosstalk between iNKT cells and adipocytes mediated by leptin modulates susceptibility for T cell mediated hepatitis. Journal of Hepatology. 60(1). 175–182. 19 indexed citations
10.
Aspeslagh, Sandrine, Yali Li, Esther Dawen Yu, et al.. (2011). Galactose‐modified iNKT cell agonists stabilized by an induced fit of CD1d prevent tumour metastasis. The EMBO Journal. 30(11). 2294–2305. 93 indexed citations
11.
Jacques, Peggy, Jens Van Praet, Michael Drennan, et al.. (2010). A multiparameter approach to monitor disease activity in collagen-induced arthritis. Arthritis Research & Therapy. 12(4). R160–R160. 61 indexed citations
12.
Jacques, Peggy, Koen Venken, Katrien Van Beneden, et al.. (2010). Invariant natural killer T cells are natural regulators of murine spondylarthritis. Arthritis & Rheumatism. 62(4). 988–999. 41 indexed citations
13.
Drennan, Michael, Sandrine Aspeslagh, & Dirk Elewaut. (2010). Invariant natural killer T cells in rheumatic disease: a joint dilemma. Nature Reviews Rheumatology. 6(2). 90–98. 12 indexed citations
14.
Drennan, Michael, Pieter Dewint, Katrien Van Beneden, et al.. (2009). Cutting Edge: The Chemokine Receptor CXCR3 Retains Invariant NK T Cells in the Thymus. The Journal of Immunology. 183(4). 2213–2216. 35 indexed citations
15.
Beneden, Katrien Van, Ken Coppieters, Wouter Laroy, et al.. (2008). Reversible changes in serum immunoglobulin galactosylation during the immune response and treatment of inflammatory autoimmune arthritis. Annals of the Rheumatic Diseases. 68(8). 1360–1365. 43 indexed citations
16.
Stijlemans, Benoı̂t, Toya Nath Baral, Martin Guilliams, et al.. (2007). A Glycosylphosphatidylinositol-Based Treatment Alleviates Trypanosomiasis-Associated Immunopathology. The Journal of Immunology. 179(6). 4003–4014. 61 indexed citations
17.
Magez, Stefan, Magdalena Radwanska, Michael Drennan, et al.. (2007). Tumor Necrosis Factor (TNF) Receptor–1 (TNFp55) Signal Transduction and Macrophage‐Derived Soluble TNF Are Crucial for Nitric Oxide–MediatedTrypanosoma congolenseParasite Killing. The Journal of Infectious Diseases. 196(6). 954–962. 50 indexed citations
18.
Drennan, Michael. (2005). The Human Science of Simulation: a Robust Hermeneutics for Artificial Societies. Journal of Artificial Societies and Social Simulation. 8(1). 1–3. 3 indexed citations
19.
Drennan, Michael, Muazzam Jacobs, Nasiema Allie, et al.. (2004). Toll-Like Receptor 2-Deficient Mice Succumb to Mycobacterium tuberculosis Infection. American Journal Of Pathology. 164(1). 49–57. 263 indexed citations
20.
Shaw, Jaime L., et al.. (1984). Prednisolone as an appetite stimulant in patients with cancer.. BMJ. 288(6410). 27.1–27. 136 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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