Matthew E. Albertolle

20 papers receiving 529 citations

Peers

Matthew E. Albertolle
Comparison fields: 5 of 87
  • Pharmacology 89
  • Reproductive Medicine 73
  • Biochemistry 33
  • Immunology 90
  • Pathology and Forensic Medicine 68
Replace Jane Hamlett with:
Jane Hamlett United Kingdom
Martin J. Smit Netherlands
Zhifeng Yu United States
Martin Wurm Austria
Ramadevi Subramani United States
Xiaoqun Ye China
Antje Rottmann Germany
Zhenquan Wei China
Sarah Ciccone Italy
Nobuyoshi Chiba Japan
Matthew E. Albertolle relative to Jane Hamlett United Kingdom Jane Hamlett's profile →
Citations per field
00.5×5.5×
Jane Hamlett · 1×
Citations per year

Countries citing papers authored by Matthew E. Albertolle

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Matthew E. Albertolle Line = papers co-authored together Matthew E. Albertolle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201597
2 201881
3 201373
4 201542
5 201330
6 201728
7 201728
8 201424
9 201624
10 201823
11 201716
12 201714
13 201511
14 20249
15 20219
16 20197
17 20196
18 20235
19 20195
20 20243

About Matthew E. Albertolle

Matthew E. Albertolle is a scholar working on Molecular Biology, Pharmacology, Biochemistry, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 535 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (5 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Amino Acid Enzymes and Metabolism (2 papers), Salivary Gland Disorders and Functions (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Peptidase Inhibition and Analysis (1 paper) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Pharmacology (89 citations), Reproductive Medicine (73 citations), Biochemistry (33 citations), Immunology (90 citations) and Pathology and Forensic Medicine (68 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, Susan J. Fisher, Thanh T.N. Phan, Richard K. Niles, Stephen L. Hauser, Jaishree Bankoti and H.‐Christian von Büdingen. Their work appears in journals such as Journal of Biological Chemistry, Molecular & Cellular Proteomics, Clinical Proteomics, Journal of Clinical Medicine and Journal of Proteome Research.

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.

Explore authors with similar magnitude of impact