Jamie D. Matthews

627 total citations
9 papers, 243 citations indexed

About

Jamie D. Matthews is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Immunology. According to data from OpenAlex, Jamie D. Matthews has authored 9 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pathology and Forensic Medicine, 4 papers in Molecular Biology and 4 papers in Immunology. Recurrent topics in Jamie D. Matthews's work include Lymphoma Diagnosis and Treatment (5 papers), Immune Cell Function and Interaction (4 papers) and Protein Degradation and Inhibitors (3 papers). Jamie D. Matthews is often cited by papers focused on Lymphoma Diagnosis and Treatment (5 papers), Immune Cell Function and Interaction (4 papers) and Protein Degradation and Inhibitors (3 papers). Jamie D. Matthews collaborates with scholars based in United Kingdom, Austria and United States. Jamie D. Matthews's co-authors include John P. Moore, Alexandra Trkola, Cynthia J. Gordon, Tom Ketas, Elizabeth S. Maxwell, Lloyd G. Czaplewski, Amanda E. I. Proudfoot, Lukas Kenner, Nina Prokoph and Suzanne D. Turner and has published in prestigious journals such as Cancer Research, Journal of Virology and British Journal of Haematology.

In The Last Decade

Jamie D. Matthews

7 papers receiving 241 citations

Peers

Countries citing papers authored by Jamie D. Matthews

Since Specialization

Citations

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

Fields of papers citing papers by Jamie D. Matthews

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jamie D. Matthews. 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 Jamie D. Matthews. The network helps show where Jamie D. Matthews may publish in the future.

Co-authorship network of co-authors of Jamie D. Matthews

This figure shows the co-authorship network connecting the top 25 collaborators of Jamie D. Matthews. A scholar is included among the top collaborators of Jamie D. Matthews 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 Jamie D. Matthews. Jamie D. Matthews 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

#	Work	Indexed citations
1	HDAC1 acts as a tumor suppressor in ALK-positive anaplastic large cell lymphoma: implications for HDAC inhibitor therapy 2025 ·Leukemia ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Jamie D. Matthews, Fabio Iannelli, (unknown), (unknown), Heinz Fischer, Helga Schachner, Ana‐Iris Schiefer, Raheleh Sheibani‐Tezerji, Roberto Chiarle, Suzanne D. Turner, Wilfried Ellmeier, Christian Seiser, Gerda Egger	1
2	Establishing Patient-Derived Xenograft (PDX) Models of Lymphomas 2024 ·Methods in molecular biology ·Christopher Steel, (unknown), Jamie D. Matthews, Suzanne D. Turner	0
3	STAT3 couples activated tyrosine kinase signaling to the oncogenic core transcriptional regulatory circuitry of anaplastic large cell lymphoma 2024 ·Cell Reports Medicine ·Nicole Prutsch, Shuning He, Alla Berezovskaya, Adam D. Durbin, Neekesh V. Dharia, Kelsey A. Maher, Jamie D. Matthews, (unknown), Suzanne D. Turner, Kimberly Stegmaier, Lukas Kenner, Olaf Merkel, A. Thomas Look, Brian J. Abraham, Mark W. Zimmerman	4
4	Abstract LB226: FGFR2 modulates ALK inhibition response in high-risk neuroblastoma 2023 ·Cancer Research ·(unknown), (unknown), Ricky M. Trigg, Leila Jahangiri, Jamie D. Matthews, Luca Mologni, G.A. Amos Burke, Suzanne D. Turner	0
5	Patient‐derived xenograft models of ALK+ ALCL reveal preclinical promise for therapy with brigatinib 2023 ·British Journal of Haematology ·Nina Prokoph, Jamie D. Matthews, Ricky M. Trigg, Ivonne A. Montes‐Mojarro, G.A. Amos Burke, Falko Fend, Olaf Merkel, Lukas Kenner, Birgit Geoerger, Robert E. Johnston, Matthew J. Murray, (unknown), Laurence Brugières, Suzanne D. Turner	3
6	Abstract 5344: High-throughput CRISPR-Cas9 knockout screens identify loss of miRNA1304-5p targeting the RAS/MAPK pathway as a modulator of resistance to ALK inhibitors in high-risk neuroblastoma 2022 ·Cancer Research ·(unknown), (unknown), Suzanne D. Turner, Leila Jahangiri, Jamie D. Matthews, (unknown), (unknown), Lukas Kenner, Olaf Merkel, Fikret Rifatbegovic, Ji Luo, Peter F. Ambros, (unknown)	1
7	Paediatric Burkitt lymphoma patient‐derived xenografts capture disease characteristics over time and are a model for therapy 2020 ·British Journal of Haematology ·(unknown), Jamie D. Matthews, Leila Jahangiri, Liam C. Lee, Nina Prokoph, Tim Malcolm, Olivier Giger, (unknown), Helen Blair, Aengus O’Marcaigh, Owen Smith, Lukas Kenner, Simon Bomken, (unknown), Suzanne D. Turner	5
8	The CC-Chemokine RANTES Increases the Attachment of Human Immunodeficiency Virus Type 1 to Target Cells via Glycosaminoglycans and Also Activates a Signal Transduction Pathway That Enhances Viral Infectivity 1999 ·Journal of Virology ·Alexandra Trkola, Cynthia J. Gordon, Jamie D. Matthews, Elizabeth S. Maxwell, Tom Ketas, Lloyd G. Czaplewski, Amanda E. I. Proudfoot, John P. Moore	94
9	A Cell Line-Based Neutralization Assay for Primary Human Immunodeficiency Virus Type 1 Isolates That Use either the CCR5 or the CXCR4 Coreceptor 1999 ·Journal of Virology ·Alexandra Trkola, Jamie D. Matthews, Cynthia J. Gordon, Tom Ketas, John P. Moore	135

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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