Matthew F. Mackey

1.1k total citations
9 papers, 670 citations indexed

About

Matthew F. Mackey is a scholar working on Immunology, Oncology and Cancer Research. According to data from OpenAlex, Matthew F. Mackey has authored 9 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 3 papers in Oncology and 2 papers in Cancer Research. Recurrent topics in Matthew F. Mackey's work include T-cell and B-cell Immunology (6 papers), Immune Response and Inflammation (5 papers) and Immunotherapy and Immune Responses (5 papers). Matthew F. Mackey is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Immune Response and Inflammation (5 papers) and Immunotherapy and Immune Responses (5 papers). Matthew F. Mackey collaborates with scholars based in United States, Canada and Japan. Matthew F. Mackey's co-authors include Randolph J. Noelle, Richard J. Barth, Charles R. Maliszewski, Jason R. Gunn, Hitoshi Kikutani, Michelle Kuhne, Michael Robbins, Jason P. Gigley, David M. Calderhead and John Hambor and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and Annals of the New York Academy of Sciences.

In The Last Decade

Matthew F. Mackey

9 papers receiving 663 citations

Peers

Matthew F. Mackey

IMMUN

ONCOL

MB

CR

GENET

Machiko Atsuta Japan

Sally R. Masters United States

Seema Rawal United States

Hart S. Dengler United States

Kathy S. Wang United States

Kevin Evel-Kabler United States

Ray Paxton Canada

Aya Obata-Onai Japan

Edith Graulich Germany

Kerri R. Thomas United States

Machiko Atsuta Japan

Matthew F. Mackey

788 ×1.3

IMMUN

167 ×1.0

ONCOL

125 ×1.0

MB

89 ×1.4

CR

41 ×1.1

GENET

Citations per year, relative to Matthew F. Mackey Matthew F. Mackey (= 1×) peers Machiko Atsuta

Countries citing papers authored by Matthew F. Mackey

Since Specialization

Citations

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

Fields of papers citing papers by Matthew F. Mackey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew F. Mackey

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

All Works

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9 of 9 papers shown

1.

Alvarez, Fernando, Marcos E. Milla, Jill M. Mooney, et al.. (2024). The IL-2 SYNTHORIN molecule promotes functionally adapted Tregs in a preclinical model of type 1 diabetes. JCI Insight. 9(24). 3 indexed citations

2.

Celhar, Teja, Hao Lu, Larissa Rakhilina, et al.. (2019). TLR7 Protein Expression in Mild and Severe Lupus-Prone Models Is Regulated in a Leukocyte, Genetic, and IRAK4 Dependent Manner. Frontiers in Immunology. 10. 1546–1546. 17 indexed citations

3.

Bender, Andrew T., Yin Wu, Qiongfang Cao, et al.. (2014). Assessment of the translational value of mouse lupus models using clinically relevant biomarkers. Translational research. 163(6). 515–532. 13 indexed citations

4.

Mackey, Matthew F., Ze Wang, Katrin Eichelberg, & Ronald N. Germain. (2003). Distinct contributions of different CD40 TRAF binding sites to CD154‐induced dendritic cell maturation and IL‐12 secretion. European Journal of Immunology. 33(3). 779–789. 34 indexed citations

5.

Mackey, Matthew F., Jason R. Gunn, Charles R. Maliszewski, et al.. (1998). Cutting Edge: Dendritic Cells Require Maturation via CD40 to Generate Protective Antitumor Immunity. The Journal of Immunology. 161(5). 2094–2098. 145 indexed citations

6.

Mackey, Matthew F., Richard J. Barth, & Randolph J. Noelle. (1998). The role of CD40/CD154 interactions in the priming, differentiation, and effector function of helper and cytotoxic T cells. Journal of Leukocyte Biology. 63(4). 418–428. 190 indexed citations

7.

Mackey, Matthew F., Jason R. Gunn, Charles R. Maliszewski, et al.. (1998). Dendritic cells require maturation via CD40 to generate protective antitumor immunity.. PubMed. 161(5). 2094–8. 164 indexed citations

8.

Noelle, Randolph J., Matthew F. Mackey, Teresa M. Foy, Janet E. Buhlmann, & Christopher M. Burns. (1997). CD40 and Its Ligand in Autoimmimity. Annals of the New York Academy of Sciences. 815(1). 384–390. 17 indexed citations

9.

Kuhne, Michelle, Michael Robbins, John Hambor, et al.. (1997). Assembly and Regulation of the CD40 Receptor Complex in Human B Cells. The Journal of Experimental Medicine. 186(2). 337–342. 87 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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