Matthew T. Sorbara
- Molecular Biology top 5%
- Immunology top 5%
- Epidemiology top 5%
- Infectious Diseases top 5%
- Food Science top 5%
- Co-authors
- Stephen E. GirardinEric G. PamerDana J. PhilpottKenneth CroitoruSusan J. RobertsonIvan TattoliJing YangEmily Fontana
- Topics
- Gut microbiota and health (9 papers)Autophagy in Disease and Therapy (6 papers)Clostridium difficile and Clostridium perfringens research (5 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Matthew T. Sorbara
30 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Molecular Biology 1.6k
- Immunology 745
- Epidemiology 624
- Infectious Diseases 448
- Food Science 303
Countries citing papers authored by Matthew T. Sorbara
This map shows the geographic impact of Matthew T. Sorbara'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 T. Sorbara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew T. Sorbara more than expected).
Fields of papers citing papers by Matthew T. Sorbara
This network shows the impact of papers produced by Matthew T. Sorbara. 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 T. Sorbara. The network helps show where Matthew T. Sorbara may publish in the future.
Co-authorship network of co-authors of Matthew T. Sorbara
This figure shows the co-authorship network connecting the top 25 collaborators of Matthew T. Sorbara. A scholar is included among the top collaborators of Matthew T. Sorbara 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 T. Sorbara. Matthew T. Sorbara 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 | 2 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 67 | |
| 7 | 14 | |
| 8 | Functional and Genomic Variation between Human-Derived Isolates of Lachnospiraceae Reveals Inter- and Intra-Species Diversitybreakdown → | 292 |
| 9 | 94 | |
| 10 | 205 | |
| 11 | 71 | |
| 12 | 32 | |
| 13 | 4 | |
| 14 | 51 | |
| 15 | NOD proteins: regulators of inflammation in health and diseasebreakdown → | 502 |
| 16 | 104 | |
| 17 | 36 | |
| 18 | 232 | |
| 19 | 63 | |
| 20 | Population polymorphism of the GLO1 enzyme. Identification of two new variants. | 3 |
About Matthew T. Sorbara
Matthew T. Sorbara is a scholar working on Endocrinology, Molecular Medicine and Infectious Diseases, having authored 32 papers that have together received 2.9k indexed citations. Recurring topics across this work include Gut microbiota and health (9 papers), Autophagy in Disease and Therapy (6 papers) and Clostridium difficile and Clostridium perfringens research (5 papers). The work is most often cited by research in Endocrinology (283 citations), Immunology (745 citations) and Biological Psychiatry (62 citations). Matthew T. Sorbara has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Stephen E. Girardin, Eric G. Pamer, Dana J. Philpott, Kenneth Croitoru, Susan J. Robertson, Ivan Tattoli, Jing Yang, Emily Fontana, Eric R. Littmann and Ruth Seok. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and The EMBO Journal.
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.