Mark Read

2.7k total citations
43 papers, 1.1k citations indexed

About

Mark Read is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Mark Read has authored 43 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 9 papers in Genetics and 8 papers in Immunology. Recurrent topics in Mark Read's work include Gut microbiota and health (10 papers), Gene Regulatory Network Analysis (10 papers) and T-cell and B-cell Immunology (7 papers). Mark Read is often cited by papers focused on Gut microbiota and health (10 papers), Gene Regulatory Network Analysis (10 papers) and T-cell and B-cell Immunology (7 papers). Mark Read collaborates with scholars based in Australia, United Kingdom and United States. Mark Read's 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 Henrique Veiga‐Fernandes and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Mark Read

42 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark Read Australia 16 519 213 144 82 80 43 1.1k
Fernando Gómez Spain 20 343 0.7× 357 1.7× 89 0.6× 43 0.5× 96 1.2× 106 1.8k
Guozhong Li China 12 921 1.8× 84 0.4× 48 0.3× 64 0.8× 99 1.2× 28 1.7k
Yi Xie China 24 452 0.9× 101 0.5× 55 0.4× 159 1.9× 106 1.3× 64 1.5k
Jorng‐Tzong Horng Taiwan 28 1.4k 2.6× 150 0.7× 71 0.5× 173 2.1× 123 1.5× 135 2.6k
Yuji Ishida Japan 28 645 1.2× 328 1.5× 59 0.4× 125 1.5× 127 1.6× 137 2.6k
Martin Hölzer Germany 22 672 1.3× 80 0.4× 35 0.2× 140 1.7× 86 1.1× 106 1.6k
Zhanwen Li United States 20 862 1.7× 62 0.3× 30 0.2× 48 0.6× 106 1.3× 39 1.3k
Luís G. Gonçalves Portugal 21 522 1.0× 488 2.3× 50 0.3× 11 0.1× 131 1.6× 67 1.8k
Fabien Crauste France 18 303 0.6× 255 1.2× 160 1.1× 53 0.6× 92 1.1× 51 1.1k
Chan‐Il Park South Korea 23 652 1.3× 893 4.2× 44 0.3× 77 0.9× 113 1.4× 179 1.9k

Countries citing papers authored by Mark Read

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Mark Read

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Read. A scholar is included among the top collaborators of Mark Read 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 Mark Read. Mark Read is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tan, Jian, Duan Ni, Gabriela Veronica Pinget, et al.. (2022). Dietary protein increases T-cell-independent sIgA production through changes in gut microbiota-derived extracellular vesicles. Nature Communications. 13(1). 4336–4336. 59 indexed citations
2.
Read, Mark, et al.. (2022). High throughput genome scale modeling predicts microbial vitamin requirements contribute to gut microbiome community structure. Gut Microbes. 14(1). 2118831–2118831. 14 indexed citations
3.
Putri, Givanna, Jonathan H. Chung, Felix Marsh‐Wakefield, et al.. (2022). TrackSOM : Mapping immune response dynamics through clustering of time‐course cytometry data. Cytometry Part A. 103(1). 54–70. 1 indexed citations
4.
Tan, Jian, Duan Ni, Jibran A. Wali, et al.. (2021). Dietary carbohydrate, particularly glucose, drives B cell lymphopoiesis and function. iScience. 24(8). 102835–102835. 21 indexed citations
5.
Ashhurst, Thomas M., Felix Marsh‐Wakefield, Givanna Putri, et al.. (2021). Integration, exploration, and analysis of high‐dimensional single‐cell cytometry data using Spectre. Cytometry Part A. 101(3). 237–253. 82 indexed citations
6.
Lamm, Noa, Mark Read, Max Nobis, et al.. (2020). Nuclear F-actin counteracts nuclear deformation and promotes fork repair during replication stress. Nature Cell Biology. 22(12). 1460–1470. 97 indexed citations
7.
Putri, Givanna, Mark Read, Irena Koprinska, et al.. (2019). ChronoClust: Density-based clustering and cluster tracking in high-dimensional time-series data. Knowledge-Based Systems. 174. 9–26. 11 indexed citations
8.
Moran, Imogen, Akira Nguyen, Weng Hua Khoo, et al.. (2018). Memory B cells are reactivated in subcapsular proliferative foci of lymph nodes. Nature Communications. 9(1). 3372–3372. 83 indexed citations
9.
10.
Read, Mark, Kieran Alden, Louis M. Rose, & Jon Timmis. (2016). Automated multi-objective calibration of biological agent-based simulations. Journal of The Royal Society Interface. 13(122). 20160543–20160543. 14 indexed citations
11.
Cosgrove, Jason, J. Butler, Kieran Alden, et al.. (2015). Agent-Based Modeling in Systems Pharmacology. CPT Pharmacometrics & Systems Pharmacology. 4(11). 615–629. 40 indexed citations
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14.
Levi, Paul, et al.. (2013). Collective-adaptive Lévy flight for underwater multi-robot exploration. 456–462. 43 indexed citations
15.
Greaves, Richard B., Mark Read, Jon Timmis, et al.. (2013). In silico investigation of novel biological pathways: The role of CD200 in regulation of T cell priming in experimental autoimmune encephalomyelitis. Biosystems. 112(2). 107–121. 9 indexed citations
16.
Williams, Richard A., Richard B. Greaves, Mark Read, et al.. (2013). In silico investigation into dendritic cell regulation of CD8Treg mediated killing of Th1 cells in murine experimental autoimmune encephalomyelitis. BMC Bioinformatics. 14(S6). S9–S9. 15 indexed citations
17.
Read, Mark, Paul S. Andrews, Jon Timmis, et al.. (2013). Determining Disease Intervention Strategies Using Spatially Resolved Simulations. PLoS ONE. 8(11). e80506–e80506. 10 indexed citations
18.
Alden, Kieran, Mark Read, Jon Timmis, et al.. (2013). Correction: Spartan: A Comprehensive Tool for Understanding Uncertainty in Simulations of Biological Systems. PLoS Computational Biology. 9(8). 8 indexed citations
19.
Stepney, Susan, Paul S. Andrews, & Mark Read. (2012). Proceedings of the 2012 Workshop on Complex Systems Modelling and Simulation. 7 indexed citations
20.
Read, Mark, Paul S. Andrews, Jon Timmis, & Vipin Kumar. (2011). Techniques for grounding agent-based simulations in the real domain: a case study in experimental autoimmune encephalomyelitis. Mathematical and Computer Modelling of Dynamical Systems. 18(1). 67–86. 39 indexed citations

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.

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