Matthew Hobbs
- Molecular Biology top 5%
- Genetics top 1%
- Ecology top 2%
- Endocrinology top 0.5%
- Plant Science top 5%
- Co-authors
- John S. MattickPeter R. ReevesGordon StevensonHuber R. WarnerCynthia B. WhitchurchV. KrishnapillaiBrian P. DalrympleChris Whitfield
- Topics
- Bacterial Genetics and Biotechnology (15 papers)Genetic and phenotypic traits in livestock (12 papers)Genomics and Phylogenetic Studies (10 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaJournal of Virology
- Partner nations
- AustraliaUnited StatesUnited Kingdom
In The Last Decade
Matthew Hobbs
41 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 110
- Molecular Biology 1.8k
- Genetics 1.5k
- Ecology 846
- Endocrinology 685
- Plant Science 452
Countries citing papers authored by Matthew Hobbs
This map shows the geographic impact of Matthew Hobbs'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 Hobbs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew Hobbs more than expected).
Fields of papers citing papers by Matthew Hobbs
This network shows the impact of papers produced by Matthew Hobbs. 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 Hobbs. The network helps show where Matthew Hobbs may publish in the future.
Co-authorship network of co-authors of Matthew Hobbs
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Hobbs. A scholar is included among the top collaborators of Matthew Hobbs based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthew Hobbs. Matthew Hobbs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 69 | |
| 7 | A transcriptome resource for the koala (Phascolarctos cinereus) and its use in the investigation of koala retrovirus transcription and sequence diversity | 1 |
| 8 | 43 | |
| 9 | 12 | |
| 10 | 15 | |
| 11 | 49 | |
| 12 | 33 | |
| 13 | 8 | |
| 14 | 263 | |
| 15 | 20 | |
| 16 | 151 | |
| 17 | 112 | |
| 18 | 311 | |
| 19 | 232 | |
| 20 | 53 |
About Matthew Hobbs
Matthew Hobbs is a scholar working on Genetics, Endocrinology and Microbiology, having authored 44 papers that have together received 3.3k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (15 papers), Genetic and phenotypic traits in livestock (12 papers) and Genomics and Phylogenetic Studies (10 papers). The work is most often cited by research in Endocrinology (685 citations), Genetics (1.5k citations) and Molecular Medicine (227 citations). Matthew Hobbs has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include John S. Mattick, Peter R. Reeves, Gordon Stevenson, Huber R. Warner, Cynthia B. Whitchurch, V. Krishnapillai, Brian P. Dalrymple, Chris Whitfield, David L. Coplin and Duncan J. Maskell. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of Virology.
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.