Matthew J. Trifilo

2.4k total citations · 2 hit papers
17 papers, 1.9k citations indexed

About

Matthew J. Trifilo is a scholar working on Molecular Biology, Immunology and Neurology. According to data from OpenAlex, Matthew J. Trifilo has authored 17 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Immunology and 5 papers in Neurology. Recurrent topics in Matthew J. Trifilo's work include Prion Diseases and Protein Misfolding (7 papers), Neurological diseases and metabolism (5 papers) and Immunotherapy and Immune Responses (5 papers). Matthew J. Trifilo is often cited by papers focused on Prion Diseases and Protein Misfolding (7 papers), Neurological diseases and metabolism (5 papers) and Immunotherapy and Immune Responses (5 papers). Matthew J. Trifilo collaborates with scholars based in United States and France. Matthew J. Trifilo's co-authors include Michael B. A. Oldstone, Dorian B. McGavern, Kurt H. Edelmann, Luc Teyton, David G. Brooks, Thomas E. Lane, Kimberly Meade‐White, Bruce Chesebro, Richard Race and Cynthia Favara and has published in prestigious journals such as Science, Nature Medicine and Immunity.

In The Last Decade

Matthew J. Trifilo

17 papers receiving 1.9k citations

Hit Papers

Interleukin-10 determines viral clearance or persistence ... 2005 2026 2012 2019 2006 2005 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew J. Trifilo United States 12 826 769 428 347 299 17 1.9k
Linda A. Terry United Kingdom 24 1.1k 1.4× 1.1k 1.5× 418 1.0× 192 0.6× 56 0.2× 48 2.5k
Jianglin He United States 6 578 0.7× 314 0.4× 296 0.7× 162 0.5× 249 0.8× 7 1.3k
Laura Solforosi Italy 25 112 0.1× 924 1.2× 372 0.9× 646 1.9× 211 0.7× 54 1.8k
Francesca Di Rosa Italy 21 3.2k 3.9× 626 0.8× 126 0.3× 343 1.0× 135 0.5× 45 3.9k
Cinzia Giagulli Italy 21 810 1.0× 433 0.6× 128 0.3× 178 0.5× 206 0.7× 51 1.8k
Angela M. Green United States 8 1.2k 1.5× 285 0.4× 88 0.2× 506 1.5× 493 1.6× 8 1.8k
Anna Cerny United States 25 1.0k 1.3× 518 0.7× 74 0.2× 606 1.7× 304 1.0× 29 1.9k
Gonzalo de la Rosa United States 16 910 1.1× 445 0.6× 42 0.1× 131 0.4× 84 0.3× 17 1.6k
Donna A. MacDuff United States 9 1.3k 1.5× 1.2k 1.6× 78 0.2× 497 1.4× 517 1.7× 13 2.2k
Bence Réthi Sweden 23 985 1.2× 478 0.6× 38 0.1× 282 0.8× 113 0.4× 70 1.8k

Countries citing papers authored by Matthew J. Trifilo

Since Specialization
Citations

This map shows the geographic impact of Matthew J. Trifilo'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. Trifilo 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. Trifilo more than expected).

Fields of papers citing papers by Matthew J. Trifilo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

17 of 17 papers shown
1.
Priola, Suzette A., Anne Ward, Sherman McCall, et al.. (2013). Lack of Prion Infectivity in Fixed Heart Tissue from Patients with Creutzfeldt-Jakob Disease or Amyloid Heart Disease. Journal of Virology. 87(17). 9501–9510. 6 indexed citations
2.
Lee, Andrew M., Johan F. Paulsson, Justin T. Cruite, et al.. (2011). Extraneural manifestations of prion infection in GPI-anchorless transgenic mice. Virology. 411(1). 1–8. 7 indexed citations
3.
Trifilo, Matthew J., Manuel Sánchez-Alavez, Laura Solforosi, et al.. (2008). Scrapie-Induced Defects in Learning and Memory of Transgenic Mice Expressing Anchorless Prion Protein Are Associated with Alterations in the Gamma Aminobutyric Acid-Ergic Pathway. Journal of Virology. 82(20). 9890–9899. 13 indexed citations
4.
Trifilo, Matthew J., et al.. (2007). Chronic wasting disease of deer and elk in transgenic mice: Oral transmission and pathobiology. Virology. 365(1). 136–143. 18 indexed citations
5.
Meade‐White, Kimberly, Brent Race, Matthew J. Trifilo, et al.. (2007). Resistance to Chronic Wasting Disease in Transgenic Mice Expressing a Naturally Occurring Allelic Variant of Deer Prion Protein. Journal of Virology. 81(9). 4533–4539. 66 indexed citations
6.
Trifilo, Matthew J., Toshitaka Yajima, Yusu Gu, et al.. (2006). Prion-Induced Amyloid Heart Disease with High Blood Infectivity in Transgenic Mice. Science. 313(5783). 94–97. 49 indexed citations
7.
Brooks, David G., Matthew J. Trifilo, Kurt H. Edelmann, et al.. (2006). Interleukin-10 determines viral clearance or persistence in vivo. Nature Medicine. 12(11). 1301–1309. 755 indexed citations breakdown →
8.
Trifilo, Matthew J., Bumsuk Hahm, Elina I. Zúñiga, Kurt H. Edelmann, & Michael B. A. Oldstone. (2006). Dendritic Cell Inhibition: Memoirs from Immunosuppressive Viruses. The Journal of Infectious Diseases. 194(s1). S3–S10. 7 indexed citations
9.
Trifilo, Matthew J. & Theodore Page. (2006). NAPDD Patients Exhibit Altered Electrophoretic Mobility of Cytosolic 5′ Nucleotidase. Kluwer Academic Publishers eBooks. 486. 87–90. 3 indexed citations
10.
Hahm, Bumsuk, Matthew J. Trifilo, Elina I. Zúñiga, & Michael B. A. Oldstone. (2005). Viruses Evade the Immune System through Type I Interferon-Mediated STAT2-Dependent, but STAT1-Independent, Signaling. Immunity. 22(2). 247–257. 163 indexed citations
11.
Chesebro, Bruce, Matthew J. Trifilo, Richard Race, et al.. (2005). Anchorless Prion Protein Results in Infectious Amyloid Disease Without Clinical Scrapie. Science. 308(5727). 1435–1439. 500 indexed citations breakdown →
13.
Deane, Jonathan A., et al.. (2004). Enhanced T Cell Proliferation in Mice Lacking the p85β Subunit of Phosphoinositide 3-Kinase. The Journal of Immunology. 172(11). 6615–6625. 56 indexed citations
14.
Trifilo, Matthew J. & Thomas E. Lane. (2003). Adenovirus-Mediated Expression of CXCL10 in the Central Nervous System Results in T-Cell Recruitment and Limited Neuropathology. Journal of NeuroVirology. 9(3). 315–324. 1 indexed citations
15.
Trifilo, Matthew J. & Thomas E. Lane. (2003). Adenovirus-Mediated Expression of CXCL10 in the Central Nervous System Results in T-Cell Recruitment and Limited Neuropathology. Journal of NeuroVirology. 9(3). 315–324. 13 indexed citations
16.
Trifilo, Matthew J., Cornelia C. Bergmann, William A. Kuziel, & Thomas E. Lane. (2003). CC Chemokine Ligand 3 (CCL3) Regulates CD8+-T-Cell Effector Function and Migration following Viral Infection. Journal of Virology. 77(7). 4004–4014. 88 indexed citations
17.
Trifilo, Matthew J., Kelley R. Hurst, Jenny L. Hardison, et al.. (2003). CXC Chemokine Ligand 10 Controls Viral Infection in the Central Nervous System: Evidence for a Role in Innate Immune Response through Recruitment and Activation of Natural Killer Cells. Journal of Virology. 78(2). 585–594. 91 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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