Thomas M. Aune

7.1k total citations · 1 hit paper
137 papers, 5.6k citations indexed

About

Thomas M. Aune is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Thomas M. Aune has authored 137 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Immunology, 56 papers in Molecular Biology and 22 papers in Oncology. Recurrent topics in Thomas M. Aune's work include Immune Cell Function and Interaction (39 papers), T-cell and B-cell Immunology (33 papers) and Immune Response and Inflammation (16 papers). Thomas M. Aune is often cited by papers focused on Immune Cell Function and Interaction (39 papers), T-cell and B-cell Immunology (33 papers) and Immune Response and Inflammation (16 papers). Thomas M. Aune collaborates with scholars based in United States, Japan and France. Thomas M. Aune's co-authors include Bruce N. Cronstein, Charles F. Spurlock, Edwin L. Thomas, Nancy J. Olsen, Shaojing Chang, Carl W. Pierce, John T. Tossberg, Patrick L. Collins, Sarah P. Collier and Edwin L. Thomas and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Thomas M. Aune

137 papers receiving 5.4k citations

Hit Papers

Methotrexate and its mechanisms of action in inflammatory... 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Thomas M. Aune United States 45 2.5k 2.2k 1.0k 665 615 137 5.6k
Massimo Sanchez Italy 40 1.8k 0.7× 2.1k 1.0× 447 0.4× 777 1.2× 279 0.5× 140 5.0k
Saleh Ibrahim Germany 41 1.6k 0.7× 2.7k 1.2× 755 0.7× 783 1.2× 964 1.6× 202 5.9k
Wai‐Ping Fung‐Leung United States 44 5.2k 2.1× 2.7k 1.2× 663 0.6× 1.0k 1.5× 334 0.5× 82 8.2k
Catherine Hession United States 33 3.3k 1.4× 4.0k 1.9× 1.3k 1.2× 880 1.3× 419 0.7× 49 9.6k
Yuko Kawakami United States 49 3.7k 1.5× 2.0k 0.9× 354 0.3× 603 0.9× 627 1.0× 131 6.3k
Thomas L. Rothstein United States 53 7.1k 2.9× 2.9k 1.4× 1.3k 1.2× 1.3k 1.9× 587 1.0× 205 10.2k
G H Wong United States 26 3.8k 1.5× 3.3k 1.5× 1.1k 1.0× 917 1.4× 218 0.4× 54 7.7k
Shigeru Kakuta Japan 35 3.6k 1.5× 2.0k 0.9× 388 0.4× 853 1.3× 246 0.4× 74 6.4k
D J McKean United States 40 3.2k 1.3× 2.3k 1.1× 329 0.3× 832 1.3× 380 0.6× 114 6.4k
Hong‐Wei Sun United States 46 4.6k 1.8× 3.9k 1.8× 655 0.6× 1.4k 2.1× 350 0.6× 141 9.0k

Countries citing papers authored by Thomas M. Aune

Since Specialization
Citations

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

Fields of papers citing papers by Thomas M. Aune

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas M. Aune. 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 Thomas M. Aune. The network helps show where Thomas M. Aune may publish in the future.

Co-authorship network of co-authors of Thomas M. Aune

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas M. Aune. A scholar is included among the top collaborators of Thomas M. Aune 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 Thomas M. Aune. Thomas M. Aune 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.
Aune, Thomas M., et al.. (2020). Immunoprecipitation of DNA:RNA Hybrids Using the S9.6 Antibody. Methods in molecular biology. 2161. 195–207. 7 indexed citations
2.
Purcell, Caroline, Andrea J. Pruijssers, Yang Zhao, et al.. (2019). Endogenous double-stranded Alu RNA elements stimulate IFN-responses in relapsing remitting multiple sclerosis. Journal of Autoimmunity. 100. 40–51. 21 indexed citations
3.
Spurlock, Charles F., John T. Tossberg, Yan Guo, et al.. (2015). Defective structural RNA processing in relapsing-remitting multiple sclerosis. Genome Biology. 16(1). 58–58. 20 indexed citations
4.
Aune, Thomas M., Patrick L. Collins, Sarah P. Collier, Melodie A. Henderson, & Shaojing Chang. (2013). Epigenetic Activation and Silencing of the Gene that Encodes IFN-γ. Frontiers in Immunology. 4. 112–112. 37 indexed citations
5.
Collins, Patrick L., Melodie A. Henderson, & Thomas M. Aune. (2012). Lineage-specific adjacent IFNG and IL26 genes share a common distal enhancer element. Genes and Immunity. 13(6). 481–488. 25 indexed citations
6.
Spurlock, Charles F., John T. Tossberg, Howard A. Fuchs, Nancy J. Olsen, & Thomas M. Aune. (2011). Methotrexate increases expression of cell cycle checkpoint genes via JNK activation. Arthritis & Rheumatism. 64(6). 1780–1789. 49 indexed citations
7.
Spurlock, Charles F., John T. Tossberg, Patrick L. Collins, et al.. (2011). Increased sensitivity to apoptosis induced by methotrexate is mediated by JNK. Arthritis & Rheumatism. 63(9). 2606–2616. 51 indexed citations
9.
Smith, Mary Ellen, James W. Thomas, Lily Wang, et al.. (2010). Genome-Wide Analysis of Copy Number Variation in Type 1 Diabetes. PLoS ONE. 5(11). e15393–e15393. 29 indexed citations
11.
Vnencak‐Jones, Cindy L., et al.. (2007). Identification of Molecular Biomarkers for Multiple Sclerosis. Journal of Molecular Diagnostics. 9(2). 197–204. 20 indexed citations
12.
Aune, Thomas M., et al.. (2006). Deregulated stress system in non-obese diabetic lymphocyte. Genes and Immunity. 7(5). 352–358. 1 indexed citations
13.
Liu, Zheng, Kevin Maas, & Thomas M. Aune. (2005). Identification of gene expression signatures in autoimmune disease without the influence of familial resemblance. Human Molecular Genetics. 15(3). 501–509. 18 indexed citations
14.
Aune, Thomas M., Joel S. Parker, Kevin Maas, et al.. (2004). Co‐localization of differentially expressed genes and shared susceptibility loci in human autoimmunity. Genetic Epidemiology. 27(2). 162–172. 20 indexed citations
15.
Zhang, Feng, Zhiyan Liang, Naoto Matsuki, et al.. (2003). A Murine Locus on Chromosome 18 Controls NKT Cell Homeostasis and Th Cell Differentiation. The Journal of Immunology. 171(9). 4613–4620. 22 indexed citations
16.
Maas, Kevin, Sanny K. Chan, Joel S. Parker, et al.. (2002). Cutting Edge: Molecular Portrait of Human Autoimmune Disease. The Journal of Immunology. 169(1). 5–9. 167 indexed citations
17.
Soutto, Mohammed, et al.. (2002). A Minimal IFN-γ Promoter Confers Th1 Selective Expression. The Journal of Immunology. 169(8). 4205–4212. 39 indexed citations
18.
Zhang, Feng, Mercedes Rincón, Richard A. Flavell, & Thomas M. Aune. (2000). Defective Th Function Induced by a Dominant-Negative cAMP Response Element Binding Protein Mutation Is Reversed by Bcl-2. The Journal of Immunology. 165(4). 1762–1770. 28 indexed citations
19.
Kelley, Keith A., et al.. (1993). Elevation of intracellular cAMP in human T lymphocytes by an anti-CD44 mAb.. The Journal of Immunology. 151(11). 6036–6042. 16 indexed citations
20.
Aune, Thomas M., et al.. (1984). Cellfree translation of the lymphokine soluble immune response suppressor (SIRS) and characterization of its mRNA.. The Journal of Immunology. 132(2). 556–558. 4 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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