Matthew J. Belousoff
- Structural Biology top 2%
- Molecular Medicine top 2%
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms 24
- Receptor Mechanisms and Signaling 18
- DNA and Nucleic Acid Chemistry 8
- Advanced biosensing and bioanalysis techniques 6
- Endocrinology top 5%
-
- Neuropeptides and Animal Physiology 13
-
- Bacterial Genetics and Biotechnology 16
-
- Metal complexes synthesis and properties 9
-
- Bacteriophages and microbial interactions 8
Matthew J. Belousoff
76 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 119
- Structural Biology 92
- Molecular Medicine 175
- Molecular Biology 1.6k
- Endocrinology 105
- Cellular and Molecular Neuroscience 372
Countries citing papers authored by Matthew J. Belousoff
This map shows the geographic impact of Matthew J. Belousoff'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 J. Belousoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew J. Belousoff more than expected).
Fields of papers citing papers by Matthew J. Belousoff
This network shows the impact of papers produced by Matthew J. Belousoff. 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 J. Belousoff. The network helps show where Matthew J. Belousoff may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Matthew J. Belousoff, 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 | 2025 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 12 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 42 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 53 | |
| 9 | 2022 | 49 | |
| 10 | 2021 | 6 | |
| 11 | 2021 | 63 | |
| 12 | 2021 | 21 | |
| 13 | 2021 | 47 | |
| 14 | 2021 | 35 | |
| 15 | 2020 | 23 | |
| 16 | 2020 | 7 | |
| 17 | 2020 | 46 | |
| 18 | 2018 | 3 | |
| 19 | On the development towards the modern world: A plausible role of uncoded peptides in the rnaworld | 2010 | 5 |
| 20 | Linking the RNA world to modern life: The proto-ribosome conception | 2010 | 4 |
About Matthew J. Belousoff
Matthew J. Belousoff is a scholar working on Structural Biology, Molecular Biology and Endocrinology, having authored 77 papers that have together received 2.5k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (24 papers), Receptor Mechanisms and Signaling (18 papers), Bacterial Genetics and Biotechnology (16 papers), Neuropeptides and Animal Physiology (13 papers), Metal complexes synthesis and properties (9 papers), DNA and Nucleic Acid Chemistry (8 papers), Bacteriophages and microbial interactions (8 papers) and Advanced biosensing and bioanalysis techniques (6 papers). The work is most often cited by research in Structural Biology (92 citations), Molecular Medicine (175 citations) and Molecular Biology (1.6k citations). Matthew J. Belousoff has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include Leone Spiccia, Bim Graham, Trevor Lithgow, Denise Wootten, Patrick M. Sexton, Radostin Danev, Ada Yonath, Anat Bashan, Gilles Gasser and Arthur Christopoulos. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.