Matthew M. Hewitt

647 total citations
8 papers, 507 citations indexed

About

Matthew M. Hewitt is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Matthew M. Hewitt has authored 8 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 2 papers in Oncology. Recurrent topics in Matthew M. Hewitt's work include CAR-T cell therapy research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Biomedical and Engineering Education (1 paper). Matthew M. Hewitt is often cited by papers focused on CAR-T cell therapy research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Biomedical and Engineering Education (1 paper). Matthew M. Hewitt collaborates with scholars based in United States, Australia and South Africa. Matthew M. Hewitt's co-authors include Lisa M. Schwiebert, Gordon D. Brown, Inês Faro‐Trindade, Allison E. Metz, Jessica L. Werner, Chad Steele, Trenton R. Schoeb, Dawn Horn, Francis J. Golder and James F. McLeod and has published in prestigious journals such as The Journal of Immunology, Journal of Pharmacology and Experimental Therapeutics and American Journal of Physiology-Lung Cellular and Molecular Physiology.

In The Last Decade

Matthew M. Hewitt

8 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew M. Hewitt United States 7 225 180 134 115 91 8 507
Rongya Yang China 12 126 0.6× 128 0.7× 30 0.2× 57 0.5× 143 1.6× 39 493
Jung‐Hyun Choi South Korea 17 183 0.8× 210 1.2× 60 0.4× 27 0.2× 207 2.3× 44 631
Steven P. Templeton United States 13 194 0.9× 113 0.6× 87 0.6× 41 0.4× 83 0.9× 25 422
Duncan Lejtenyi Canada 9 128 0.6× 105 0.6× 162 1.2× 22 0.2× 41 0.5× 21 364
Eliseu Frank de Araújo Brazil 18 268 1.2× 420 2.3× 386 2.9× 24 0.2× 158 1.7× 23 772
Chengye Che China 16 139 0.6× 116 0.6× 196 1.5× 27 0.2× 150 1.6× 35 625
Alison J. Eastman United States 14 139 0.6× 223 1.2× 106 0.8× 44 0.4× 132 1.5× 28 546
Laurie A. Whittaker United States 11 75 0.3× 61 0.3× 173 1.3× 180 1.6× 111 1.2× 14 570
Shahida Shahana Sweden 9 147 0.7× 108 0.6× 47 0.4× 66 0.6× 133 1.5× 13 409
Andrew J. McDermott United States 14 312 1.4× 221 1.2× 173 1.3× 33 0.3× 301 3.3× 21 760

Countries citing papers authored by Matthew M. Hewitt

Since Specialization
Citations

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

Fields of papers citing papers by Matthew M. Hewitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew M. Hewitt

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

All Works

8 of 8 papers shown
1.
Hewitt, Matthew M., et al.. (2024). Filling the gap: the workforce of tomorrow for CGT manufacturing as the sector advances. Cytotherapy. 26(6). 540–545. 10 indexed citations
2.
Abraham, Eytan, et al.. (2021). Cell therapy products are revolutionizing multiple therapeutic areas; to maintain this pace of innovation, manufacturing solutions must adapt. Current Opinion in Biomedical Engineering. 20. 100340–100340. 6 indexed citations
3.
Hewitt, Matthew M., et al.. (2021). Cell therapy manufacturing: process analytic technologies needed to achieve flexible, feedback-driven automation. Current Opinion in Biomedical Engineering. 20. 100358–100358. 8 indexed citations
4.
Hewitt, Matthew M., Gregory N. Adams, Stuart B. Mazzone, et al.. (2016). Pharmacology of Bradykinin-Evoked Coughing in Guinea Pigs. Journal of Pharmacology and Experimental Therapeutics. 357(3). 620–628. 33 indexed citations
5.
Golder, Francis J., Matthew M. Hewitt, & James F. McLeod. (2013). Respiratory stimulant drugs in the post-operative setting. Respiratory Physiology & Neurobiology. 189(2). 395–402. 37 indexed citations
6.
Werner, Jessica L., Allison E. Metz, Dawn Horn, et al.. (2009). Requisite Role for the Dectin-1 β-Glucan Receptor in Pulmonary Defense against Aspergillus fumigatus. The Journal of Immunology. 182(8). 4938–4946. 334 indexed citations
7.
Nicola, Teodora, James S. Hagood, Mark MacEwen, et al.. (2009). Loss of Thy-1 inhibits alveolar development in the newborn mouse lung. American Journal of Physiology-Lung Cellular and Molecular Physiology. 296(5). L738–L750. 56 indexed citations
8.
Hewitt, Matthew M., et al.. (2005). Effects of phosphate limitation on expression of genes involved in pyrimidine synthesis and salvaging in Arabidopsis. Plant Physiology and Biochemistry. 43(2). 91–99. 23 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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