Matthew Cannon
Impact in
- Agronomy and Crop Science top 10%
- Reproductive Physiology in Livestock
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- Reproductive System and Pregnancy
Papers in
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- Biomedical Text Mining and Ontologies 2
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- Reproductive Physiology in Livestock 7
- Co-authors
- Joy L. Pate (8 shared papers)Malachi Griffith (2 shared papers)Kori Kuzma (2 shared papers)Joshua F. McMichael (1 shared paper)Elaine R. Mardis (1 shared paper)Adam Coffman (1 shared paper)Alex H. Wagner (2 shared papers)Kelsy C. Cotto (1 shared paper)
- Journals
- Blood (4 papers)Biology of Reproduction (3 papers)Reproductive Biology and Endocrinology (2 papers)Reproduction (2 papers)Journal of Reproductive Immunology (1 paper)
- Partner nations
- United StatesPolandChina
In The Last Decade
Matthew Cannon
20 papers receiving 412 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Agronomy and Crop Science 89
- Immunology 136
- Reproductive Medicine 42
- Hematology 51
- Equine 7
Countries citing papers authored by Matthew Cannon
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
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-authors
The 25 scholars most cited alongside Matthew Cannon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | DGIdb 5.0: rebuilding the drug–gene interaction database for precision medicine and drug discovery platforms Hit paper breakdown → | 2023 | 142 |
| 2 | 2012 | 56 | |
| 3 | 2014 | 39 | |
| 4 | 2020 | 37 | |
| 5 | 2003 | 26 | |
| 6 | Using the electronic medical record to improve asthma severity documentation and treatment among family medicine residents. | 2010 | 26 |
| 7 | 2007 | 14 | |
| 8 | 2003 | 12 | |
| 9 | 2003 | 12 | |
| 10 | 2007 | 10 | |
| 11 | 1998 | 9 | |
| 12 | 2011 | 8 | |
| 13 | 2018 | 8 | |
| 14 | 2006 | 7 | |
| 15 | 2020 | 4 | |
| 16 | 2005 | 3 | |
| 17 | 2023 | 1 | |
| 18 | 2015 | 1 | |
| 19 | 2013 | 1 | |
| 20 | 2018 | 1 |
About Matthew Cannon
Matthew Cannon is a scholar working on Molecular Biology, Agronomy and Crop Science, Immunology, Genetics and Equine, having authored 20 papers that have together received 417 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (7 papers), Hemoglobinopathies and Related Disorders (3 papers), Veterinary Equine Medical Research (3 papers), Acute Myeloid Leukemia Research (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Reproductive System and Pregnancy (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Agronomy and Crop Science (89 citations), Immunology (136 citations), Reproductive Medicine (42 citations), Hematology (51 citations) and Equine (7 citations). Matthew Cannon has collaborated with scholars based in United States, Poland and China. Frequent co-authors include Joy L. Pate, Malachi Griffith, Kori Kuzma, Joshua F. McMichael, Elaine R. Mardis, Adam Coffman, Alex H. Wagner, Kelsy C. Cotto, John S. Davis and Obi L. Griffith. Their work appears in journals such as Blood, Biology of Reproduction, Reproductive Biology and Endocrinology, Reproduction and Journal of Reproductive Immunology.
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.