Mark Read
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Modeling and Simulation top 5%
Papers in
-
- Gene Regulatory Network Analysis 12
- Gut microbiota and health 10
- Single-cell and spatial transcriptomics 5
- Genetics 9
- Evolution and Genetic Dynamics 6
- Co-authors
- Jon Timmis (24 shared papers)Paul S. Andrews (16 shared papers)Andrew Holmes (7 shared papers)Kieran Alden (7 shared papers)Vipin Kumar (9 shared papers)Mark Coles (5 shared papers)Nicholas J. C. King (7 shared papers)Stephen J. Simpson (3 shared papers)
- Journals
- Gut Microbes (3 papers)Journal of The Royal Society Interface (3 papers)PLoS Computational Biology (3 papers)Cytometry Part A (2 papers)Nature Communications (2 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Mark Read
49 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 141
- Immunology 218
- Modeling and Simulation 48
- Biological Psychiatry 19
- Molecular Biology 543
- Software 27
Countries citing papers authored by Mark Read
This map shows the geographic impact of Mark Read'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 Mark Read with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Read more than expected).
Fields of papers citing papers by Mark Read
This network shows the impact of papers produced by Mark Read. 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 Mark Read. The network helps show where Mark Read may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Read, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 150 | |
| 2 | 2020 | 103 | |
| 3 | 2021 | 88 | |
| 4 | 2011 | 86 | |
| 5 | 2018 | 85 | |
| 6 | 2013 | 78 | |
| 7 | 2022 | 63 | |
| 8 | 2013 | 49 | |
| 9 | 2011 | 45 | |
| 10 | 2015 | 45 | |
| 11 | 2017 | 40 | |
| 12 | 2019 | 39 | |
| 13 | 2020 | 27 | |
| 14 | 2021 | 24 | |
| 15 | 2016 | 19 | |
| 16 | 2010 | 19 | |
| 17 | 2016 | 16 | |
| 18 | 2013 | 16 | |
| 19 | 2018 | 16 | |
| 20 | 2022 | 15 |
About Mark Read
Mark Read is a scholar working on Molecular Biology, Genetics, Immunology, Physiology and Public Health, Environmental and Occupational Health, having authored 49 papers that have together received 1.2k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (12 papers), Gut microbiota and health (10 papers), T-cell and B-cell Immunology (7 papers), Diet and metabolism studies (6 papers), Evolution and Genetic Dynamics (6 papers), Immune Cell Function and Interaction (6 papers), Single-cell and spatial transcriptomics (5 papers) and Underwater Vehicles and Communication Systems (4 papers). The work is most often cited by research in Immunology (218 citations), Modeling and Simulation (48 citations), Biological Psychiatry (19 citations), Molecular Biology (543 citations) and Software (27 citations). Mark Read has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Jon Timmis, Paul S. Andrews, Andrew Holmes, Kieran Alden, Vipin Kumar, Mark Coles, Nicholas J. C. King, Stephen J. Simpson, Maté Biro and Thomas M. Ashhurst. Their work appears in journals such as Gut Microbes, Journal of The Royal Society Interface, PLoS Computational Biology, Cytometry Part A and Nature Communications.
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.