Trevor G Marshall
- Pathology and Forensic Medicine top 10%
- Molecular Biology
- Nutrition and Dietetics top 10%
- Physiology
- Immunology
- Co-authors
- Amy D. ProalPaul AlbertRobert LeeInge LindsethCindy JamesKusiel PerlmanA. M. AlbisserPaolo Pozzilli
- Topics
- Vitamin D Research Studies (5 papers)Diabetes and associated disorders (3 papers)Vitamin C and Antioxidants Research (3 papers)
- Journals
- Annals of the New York Academy of SciencesIEEE Transactions on Biomedical EngineeringBioEssays
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Trevor G Marshall
20 papers receiving 616 citations
Peers
Comparison fields: 5 of 115
- Pathology and Forensic Medicine 188
- Molecular Biology 180
- Nutrition and Dietetics 102
- Physiology 96
- Immunology 92
Countries citing papers authored by Trevor G Marshall
This map shows the geographic impact of Trevor G Marshall'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 Trevor G Marshall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trevor G Marshall more than expected).
Fields of papers citing papers by Trevor G Marshall
This network shows the impact of papers produced by Trevor G Marshall. 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 Trevor G Marshall. The network helps show where Trevor G Marshall may publish in the future.
Co-authorship network of co-authors of Trevor G Marshall
This figure shows the co-authorship network connecting the top 25 collaborators of Trevor G Marshall. A scholar is included among the top collaborators of Trevor G Marshall 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 Trevor G Marshall. Trevor G Marshall 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 | 56 | |
| 3 | Re-framing the theory of autoimmunity in the era of the microbiome: persistent pathogens, autoantibodies, and molecular mimicry. | 14 |
| 4 | Microbe-microbe and host-microbe interactions drive microbiome dysbiosis and inflammatory processes. | 31 |
| 5 | 11 | |
| 6 | 2 | |
| 7 | 13 | |
| 8 | 63 | |
| 9 | 20 | |
| 10 | 43 | |
| 11 | 54 | |
| 12 | 40 | |
| 13 | 51 | |
| 14 | 129 | |
| 15 | 40 | |
| 16 | 50 | |
| 17 | The future of personal computing | 3 |
| 18 | Real-world RISCs | 2 |
| 19 | 8 | |
| 20 | 1 |
About Trevor G Marshall
Trevor G Marshall is a scholar working on Immunology, Behavioral Neuroscience and Emergency Medical Services, having authored 22 papers that have together received 659 indexed citations. Recurring topics across this work include Vitamin D Research Studies (5 papers), Diabetes and associated disorders (3 papers) and Vitamin C and Antioxidants Research (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (188 citations), Nutrition and Dietetics (102 citations) and Biological Psychiatry (13 citations). Trevor G Marshall has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Amy D. Proal, Paul Albert, Robert Lee, Inge Lindseth, Cindy James, Kusiel Perlman, A. M. Albisser, Paolo Pozzilli, Olga Golubnitschaja and Harry W. Schroeder. Their work appears in journals such as Annals of the New York Academy of Sciences, IEEE Transactions on Biomedical Engineering and BioEssays.
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.