Matthew E. Albertolle
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
- Reproductive Medicine top 10%
- Ovarian function and disorders
Papers in
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- Advanced biosensing and bioanalysis techniques 2
- DNA Repair Mechanisms 1
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- Pharmacogenetics and Drug Metabolism 5
- Co-authors
- F. Peter Guengerich (8 shared papers)Katherine Williams (6 shared papers)A.M. Zamah (1 shared paper)H. Ewa Witkowska (5 shared papers)Thanh T.N. Phan (2 shared papers)Susan J. Fisher (6 shared papers)Richard K. Niles (5 shared papers)Jaishree Bankoti (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Clinical Proteomics (2 papers)Molecular & Cellular Proteomics (2 papers)Analytical Biochemistry (1 paper)Journal of NeuroVirology (1 paper)
- Partner nations
- United StatesAustraliaSouth Korea
In The Last Decade
Matthew E. Albertolle
20 papers receiving 568 citations
Peers
Comparison fields: 5 of 88
- Pharmacology 92
- Reproductive Medicine 60
- Biochemistry 35
- Immunology 82
- Pathology and Forensic Medicine 66
Countries citing papers authored by Matthew E. Albertolle
This map shows the geographic impact of Matthew E. Albertolle'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. Albertolle 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. Albertolle more than expected).
Fields of papers citing papers by Matthew E. Albertolle
This network shows the impact of papers produced by Matthew E. Albertolle. 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. Albertolle. The network helps show where Matthew E. Albertolle may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew E. Albertolle, 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 | 2015 | 101 | |
| 2 | 2018 | 88 | |
| 3 | 2013 | 75 | |
| 4 | 2015 | 49 | |
| 5 | 2013 | 32 | |
| 6 | 2017 | 30 | |
| 7 | 2017 | 29 | |
| 8 | 2016 | 28 | |
| 9 | 2014 | 25 | |
| 10 | 2018 | 25 | |
| 11 | 2017 | 17 | |
| 12 | 2017 | 15 | |
| 13 | 2024 | 13 | |
| 14 | 2015 | 11 | |
| 15 | 2021 | 11 | |
| 16 | 2019 | 8 | |
| 17 | 2023 | 6 | |
| 18 | 2019 | 6 | |
| 19 | 2019 | 5 | |
| 20 | 2024 | 3 |
About Matthew E. Albertolle
Matthew E. Albertolle is a scholar working on Molecular Biology, Pharmacology, Biochemistry, Cellular and Molecular Neuroscience and Oncology, having authored 20 papers that have together received 577 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (5 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Amino Acid Enzymes and Metabolism (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), DNA Repair Mechanisms (1 paper), Gestational Diabetes Research and Management (1 paper) and Endometriosis Research and Treatment (1 paper). The work is most often cited by research in Pharmacology (92 citations), Reproductive Medicine (60 citations), Biochemistry (35 citations), Immunology (82 citations) and Pathology and Forensic Medicine (66 citations). Matthew E. Albertolle has collaborated with scholars based in United States, Australia and South Korea. Frequent co-authors include F. Peter Guengerich, Katherine Williams, A.M. Zamah, H. Ewa Witkowska, Thanh T.N. Phan, Susan J. Fisher, Richard K. Niles, Jaishree Bankoti, H.‐Christian von Büdingen and Stephen L. Hauser. Their work appears in journals such as Journal of Biological Chemistry, Clinical Proteomics, Molecular & Cellular Proteomics, Analytical Biochemistry and Journal of NeuroVirology.
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.