Matthew J. Deeths

675 total citations
10 papers, 553 citations indexed

About

Matthew J. Deeths is a scholar working on Immunology, Oncology and Dermatology. According to data from OpenAlex, Matthew J. Deeths has authored 10 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 3 papers in Oncology and 2 papers in Dermatology. Recurrent topics in Matthew J. Deeths's work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (4 papers) and Immunotherapy and Immune Responses (3 papers). Matthew J. Deeths is often cited by papers focused on T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (4 papers) and Immunotherapy and Immune Responses (3 papers). Matthew J. Deeths collaborates with scholars based in United States. Matthew J. Deeths's co-authors include Matthew F. Mescher, Ross M. Kedl, Daniel L. Mueller, Wei Li, Chan Zeng, John L. Aeling, Robert P. Dellavalle, Julie Curtsinger, Paul Pease and M F Mescher and has published in prestigious journals such as The Journal of Immunology, European Journal of Immunology and Journal of Investigative Dermatology.

In The Last Decade

Matthew J. Deeths

10 papers receiving 544 citations

Peers

Matthew J. Deeths

IMMUN

ONCOL

MB

IA

DERMA

Earl W. Bere United States

Nickoloff Bj United States

Mauritius Menges Germany

Léon J. Simar Belgium

Carrie R. Steele United Kingdom

Anna K. Murray United Kingdom

Satoru Ono Japan

Ulrich M. Caroli Germany

Sandra Bajaña United States

C. Mingari Italy

Earl W. Bere United States

Matthew J. Deeths

349 ×0.8

IMMUN

91 ×0.6

ONCOL

69 ×1.0

MB

36 ×0.6

IA

21 ×0.3

DERMA

Citations per year, relative to Matthew J. Deeths Matthew J. Deeths (= 1×) peers Earl W. Bere

Countries citing papers authored by Matthew J. Deeths

Since Specialization

Citations

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

Fields of papers citing papers by Matthew J. Deeths

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew J. Deeths

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

All Works

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10 of 10 papers shown

1.

Deeths, Matthew J., et al.. (2005). Phenotypic Analysis of T-Cells in Extensive Alopecia Areata Scalp Suggests Partial Tolerance. Journal of Investigative Dermatology. 126(2). 366–373. 20 indexed citations

2.

Deeths, Matthew J., et al.. (2005). Treatment of patch and plaque stage mycosis fungoides with imiquimod 5% cream. Journal of the American Academy of Dermatology. 52(2). 275–280. 64 indexed citations

3.

Deeths, Matthew J., James Chapman, James E. Fitzpatrick, & William L. Weston. (2004). Multiple Asymptomatic Nodules in an African American Boy—Quiz Case. Archives of Dermatology. 140(3). 353–8. 4 indexed citations

4.

Deeths, Matthew J., et al.. (2001). LFA-1-Mediated Costimulation of CD8+ T Cell Proliferation Requires Phosphatidylinositol 3-Kinase Activity. The Journal of Immunology. 166(11). 6523–6529. 26 indexed citations

5.

Deeths, Matthew J. & Matthew F. Mescher. (1999). ICAM-1 and B7-1 provide similar but distinct costimulation for CD8+ T cells, while CD4+ T cells are poorly costimulated by ICAM-1. European Journal of Immunology. 29(1). 45–53. 110 indexed citations

6.

Deeths, Matthew J., Ross M. Kedl, & Matthew F. Mescher. (1999). CD8+ T Cells Become Nonresponsive (Anergic) Following Activation in the Presence of Costimulation. The Journal of Immunology. 163(1). 102–110. 121 indexed citations

7.

Deeths, Matthew J., et al.. (1999). Signaling Pathways Activated by Leukocyte Function-Associated Ag-1-Dependent Costimulation. The Journal of Immunology. 162(9). 5183–5189. 77 indexed citations

8.

Deeths, Matthew J. & Matthew F. Mescher. (1997). B7‐1‐dependent co‐stimulation results in qualitatively and quantitatively different responses by CD4⁺ and CD8⁺ T cells. European Journal of Immunology. 27(3). 598–608. 69 indexed citations

9.

Curtsinger, Julie, Matthew J. Deeths, Paul Pease, & Matthew F. Mescher. (1997). Artificial cell surface constructs for studying receptor–ligand contributions to lymphocyte activation. Journal of Immunological Methods. 209(1). 47–57. 47 indexed citations

10.

Deeths, Matthew J., et al.. (1996). Phosphatidylinositol 3 kinase activity is not essential for B7-1-mediated costimulation of proliferation or development of cytotoxicity in murine T cells. The Journal of Immunology. 157(6). 2243–2246. 15 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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