Matthew Mosior

423 total citations
3 papers, 47 citations indexed

About

Matthew Mosior is a scholar working on Immunology, Surgery and Molecular Biology. According to data from OpenAlex, Matthew Mosior has authored 3 papers receiving a total of 47 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Immunology, 1 paper in Surgery and 1 paper in Molecular Biology. Recurrent topics in Matthew Mosior's work include CAR-T cell therapy research (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Immune Cell Function and Interaction (1 paper). Matthew Mosior is often cited by papers focused on CAR-T cell therapy research (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Immune Cell Function and Interaction (1 paper). Matthew Mosior collaborates with scholars based in United States and Spain. Matthew Mosior's co-authors include Tae-Hyuk Ahn, Amanda F. Cashen, Marcus P. Watkins, Malachi Griffith, Obi L. Griffith, Sweta Desai, Kami J. Maddocks, Zachary L. Skidmore, Alina Schmidt and Todd A. Fehniger and has published in prestigious journals such as Blood, Cancer Research and Biology Direct.

In The Last Decade

Matthew Mosior

2 papers receiving 47 citations

Peers

Countries citing papers authored by Matthew Mosior

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Mosior

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Mosior

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

All Works

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3 of 3 papers shown

#	Work	Indexed citations
1	Abstract 6: Comprehensive single-cell transcriptomic analysis of a mouse model of bladder cancer identifies endothelial cells as a principal target of interferon gamma during response to combined PD-1, CTLA-4 immune checkpoint inhibitor treatment 2023 ·Cancer Research ·Sharon L. Freshour, Bryan Fisk, (unknown), (unknown), Matthew Mosior, Catrina C. Fronick, (unknown), Obi L. Griffith, Vivek Arora, Malachi Griffith	0
2	Phase 1/dose expansion trial of brentuximab vedotin and lenalidomide in relapsed or refractory diffuse large B-cell lymphoma 2021 ·Blood ·Jeffrey P. Ward, Melissa M. Berrien-Elliott, Felicia Gomez, Jingqin Luo, Michelle Becker‐Hapak, Amanda F. Cashen, Nina D. Wagner‐Johnston, Kami J. Maddocks, Matthew Mosior, Mark P. Foster, Kilannin Krysiak, Alina Schmidt, Zachary L. Skidmore, Sweta Desai, Marcus P. Watkins, Anne Fischer, Malachi Griffith, Obi L. Griffith, Todd A. Fehniger, Nancy L. Bartlett	23
3	Massive metagenomic data analysis using abundance-based machine learning 2019 ·Biology Direct ·(unknown), (unknown), Matthew Mosior, Tae-Hyuk Ahn	24

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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