Matthew Cannon

1.1k total citations · 1 hit paper
20 papers, 417 citations indexed

About

Matthew Cannon is a scholar working on Molecular Biology, Agronomy and Crop Science and Immunology. According to data from OpenAlex, Matthew Cannon has authored 20 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Agronomy and Crop Science and 6 papers in Immunology. Recurrent topics in Matthew Cannon's work include Reproductive Physiology in Livestock (7 papers), Veterinary Equine Medical Research (3 papers) and Hemoglobinopathies and Related Disorders (3 papers). Matthew Cannon is often cited by papers focused on Reproductive Physiology in Livestock (7 papers), Veterinary Equine Medical Research (3 papers) and Hemoglobinopathies and Related Disorders (3 papers). Matthew Cannon collaborates with scholars based in United States, Poland and China. Matthew Cannon's co-authors include Joy L. Pate, John S. Davis, Obi L. Griffith, Adam Coffman, James Stevenson, Susanna Kiwala, Joshua F. McMichael, Alex H. Wagner, Malachi Griffith and Kelsy C. Cotto and has published in prestigious journals such as Nucleic Acids Research, Blood and Biology of Reproduction.

In The Last Decade

Matthew Cannon

20 papers receiving 412 citations

Hit Papers

DGIdb 5.0: rebuilding the drug–gene interaction database ... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Cannon United States 10 136 133 89 54 51 20 417
Z Finci‐Yeheskel Israel 11 149 1.1× 59 0.4× 96 1.1× 134 2.5× 44 0.9× 14 396
Kengo Manase Japan 14 76 0.6× 108 0.8× 51 0.6× 226 4.2× 33 0.6× 19 534
Carl G. Beling United States 12 101 0.7× 133 1.0× 82 0.9× 99 1.8× 14 0.3× 22 525
Aralee Galway United States 10 60 0.4× 145 1.1× 60 0.7× 246 4.6× 36 0.7× 16 599
Alejandro Sica United States 7 214 1.6× 166 1.2× 9 0.1× 16 0.3× 35 0.7× 21 462
Ali Salmassi Germany 15 288 2.1× 74 0.6× 95 1.1× 196 3.6× 14 0.3× 36 576
R. Graf Germany 14 90 0.7× 93 0.7× 9 0.1× 46 0.9× 17 0.3× 45 558
Weirong Shang United States 11 182 1.3× 123 0.9× 11 0.1× 61 1.1× 13 0.3× 21 359
Felix Stonek Austria 11 119 0.9× 83 0.6× 10 0.1× 89 1.6× 14 0.3× 14 477

Countries citing papers authored by Matthew Cannon

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Cannon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Cannon

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Cannon. A scholar is included among the top collaborators of Matthew Cannon 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 Cannon. Matthew Cannon 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.
Cannon, Matthew, James Stevenson, Adam Coffman, et al.. (2023). DGIdb 5.0: rebuilding the drug–gene interaction database for precision medicine and drug discovery platforms. Nucleic Acids Research. 52(D1). D1227–D1235. 142 indexed citations breakdown →
2.
Cannon, Matthew, James Stevenson, Kori Kuzma, et al.. (2023). Normalization of drug and therapeutic concepts with Thera-Py. JAMIA Open. 6(4). ooad093–ooad093. 1 indexed citations
3.
Cannon, Matthew, Hannah Phillips, Katie Williams, et al.. (2020). Large-Scale Drug Screen Identifies FDA-Approved Drugs for Repurposing in Sickle-Cell Disease. Journal of Clinical Medicine. 9(7). 2276–2276. 4 indexed citations
4.
Brinton, Lindsey T., Pu Zhang, Katie Williams, et al.. (2020). Synergistic effect of BCL2 and FLT3 co-inhibition in acute myeloid leukemia. Journal of Hematology & Oncology. 13(1). 139–139. 37 indexed citations
5.
Cannon, Matthew, et al.. (2018). The Other 45: Improving Patients' Chronic Disease Self-Management and Medical Students’ Communication Skills. Journal of Osteopathic Medicine. 118(11). 703–712. 8 indexed citations
6.
Cannon, Matthew, et al.. (2018). High-Throughput Mirna Analysis Suggests Pro-Inflammatory Profile in Sickle Cell Disease. Blood. 132(Supplement 1). 1077–1077. 1 indexed citations
8.
El‐Gamal, Dalia, Katie Williams, Matthew Cannon, et al.. (2014). PKC-β as a therapeutic target in CLL: PKC inhibitor AEB071 demonstrates preclinical activity in CLL. Blood. 124(9). 1481–1491. 39 indexed citations
9.
Cannon, Matthew, Dalia El‐Gamal, Payal Desai, et al.. (2013). Targeting The PRMT5 Enzyme To Induce γ-Globin Gene Derepression In Sickle Cell Anemia. Blood. 122(21). 1007–1007. 1 indexed citations
10.
Ndiaye, Kalidou, Daniel Poole, Sadhat Walusimbi, et al.. (2012). Progesterone effects on lymphocytes may be mediated by membrane progesterone receptors. Journal of Reproductive Immunology. 95(1-2). 15–26. 56 indexed citations
11.
Bobe, Gerd, et al.. (2011). Conjugated linoleic acid decreases prostaglandin synthesis in bovine luteal cells in vitro. Molecular Reproduction and Development. 78(5). 328–336. 8 indexed citations
12.
Davis, Angela, et al.. (2010). Using the electronic medical record to improve asthma severity documentation and treatment among family medicine residents.. PubMed. 42(5). 334–7. 26 indexed citations
13.
Cannon, Matthew, John S. Davis, & Joy L. Pate. (2007). The class II major histocompatibility complex molecule BoLA-DR is expressed by endothelial cells of the bovine corpus luteum. Reproduction. 133(5). 991–1003. 10 indexed citations
14.
Cannon, Matthew, John S. Davis, & Joy L. Pate. (2007). Expression of costimulatory molecules in the bovine corpus luteum. Reproductive Biology and Endocrinology. 5(1). 5–5. 14 indexed citations
16.
Cannon, Matthew & Joy L. Pate. (2005). Indoleamine 2,3-Dioxygenase Participates in the Interferon-gamma-Induced Cell Death Process in Cultured Bovine Luteal Cells1. Biology of Reproduction. 74(3). 552–559. 3 indexed citations
17.
Cannon, Matthew & Joy L. Pate. (2003). The role of major histocompatibility complex molecules in luteal function. Reproductive Biology and Endocrinology. 1(1). 93–93. 12 indexed citations
18.
Cannon, Matthew, Margaret G. Petroff, & Joy L. Pate. (2003). Effects of Prostaglandin F2α and Progesterone on the Ability of Bovine Luteal Cells to Stimulate T Lymphocyte Proliferation1. Biology of Reproduction. 69(2). 695–700. 26 indexed citations
19.
Cannon, Matthew & Joy L. Pate. (2003). Expression and Regulation of Interferon γ-Inducible Proteasomal Subunits LMP7 and LMP10 in the Bovine Corpus Luteum1. Biology of Reproduction. 68(4). 1447–1454. 12 indexed citations
20.
Cannon, Matthew & Alfred R. Menino. (1998). Changes in the bovine zona pellucida induced by plasmin or embryonic plasminogen activator. Molecular Reproduction and Development. 51(3). 330–338. 9 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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