Matthew E. Cuellar
Impact in
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- Chemical Synthesis and Analysis
- Glutathione Transferases and Polymorphisms
- Genomics, phytochemicals, and oxidative stress
- Epigenetics and DNA Methylation
- Protein Degradation and Inhibitors
- Histone Deacetylase Inhibitors Research
Papers in
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- RNA and protein synthesis mechanisms 4
- Machine Learning in Bioinformatics 3
- Glutathione Transferases and Polymorphisms 3
- Chemical Synthesis and Analysis 3
- Genomics, phytochemicals, and oxidative stress 2
- Epigenetics and DNA Methylation 2
- Protein Structure and Dynamics 2
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- Computational Drug Discovery Methods 3
- Co-authors
- Marcey L. Waters (3 shared papers)Michael A. Walters (9 shared papers)Jessica M. Strasser (7 shared papers)Jayme L. Dahlin (5 shared papers)Jonathan B. Baell (4 shared papers)Kathryn M. Nelson (4 shared papers)Gurpreet Singh (4 shared papers)Nghi Nguyen (2 shared papers)
- Journals
- Journal of Medicinal Chemistry (3 papers)European Journal of Medicinal Chemistry (2 papers)Scientific Reports (1 paper)Chemical Communications (1 paper)ACS Pharmacology & Translational Science (1 paper)
- Partner nations
- United StatesAustraliaGermany
In The Last Decade
Matthew E. Cuellar
13 papers receiving 352 citations
Peers
Comparison fields: 5 of 66
- Molecular Biology 255
- Biochemistry 26
- Organic Chemistry 84
- Spectroscopy 37
- Computational Theory and Mathematics 32
Countries citing papers authored by Matthew E. Cuellar
This map shows the geographic impact of Matthew E. Cuellar'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 E. Cuellar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew E. Cuellar more than expected).
Fields of papers citing papers by Matthew E. Cuellar
This network shows the impact of papers produced by Matthew E. Cuellar. 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 E. Cuellar. The network helps show where Matthew E. Cuellar may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew E. Cuellar, 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 | 2017 | 77 | |
| 2 | 2006 | 75 | |
| 3 | 2010 | 73 | |
| 4 | 2017 | 44 | |
| 5 | 2020 | 19 | |
| 6 | 2020 | 18 | |
| 7 | 2018 | 14 | |
| 8 | 2011 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2018 | 7 | |
| 11 | 2011 | 4 | |
| 12 | 2023 | 3 | |
| 13 | 2022 | 3 | |
| 14 | 2025 | 0 |
About Matthew E. Cuellar
Matthew E. Cuellar is a scholar working on Molecular Biology, Computational Theory and Mathematics, Organic Chemistry, Immunology and Pharmacology, having authored 14 papers that have together received 356 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (4 papers), Machine Learning in Bioinformatics (3 papers), Glutathione Transferases and Polymorphisms (3 papers), Computational Drug Discovery Methods (3 papers), Chemical Synthesis and Analysis (3 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Epigenetics and DNA Methylation (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Molecular Biology (255 citations), Biochemistry (26 citations), Organic Chemistry (84 citations), Spectroscopy (37 citations) and Computational Theory and Mathematics (32 citations). Matthew E. Cuellar has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Marcey L. Waters, Michael A. Walters, Jessica M. Strasser, Jayme L. Dahlin, Jonathan B. Baell, Kathryn M. Nelson, Gurpreet Singh, Nghi Nguyen, Jonathan H. Shrimp and Dalia Baršytė-Lovejoy. Their work appears in journals such as Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, Scientific Reports, Chemical Communications and ACS Pharmacology & Translational Science.
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.