Mark Norman Read

2.8k citations
52 papers · 2.0k · h-index 19

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Genetics top 5%
    • Forensic and Genetic Research
    • Genetic diversity and population structure

Papers in

    • Gene Regulatory Network Analysis 12
    • Gut microbiota and health 11
    • Single-cell and spatial transcriptomics 5
    • Microbial Metabolic Engineering and Bioproduction 4
    • T-cell and B-cell Immunology 8
    • Immune Cell Function and Interaction 7

Mark Norman Read

52 papers receiving 2.0k citations

Peers

Mark Norman Read
Comparison fields: 5 of 164
  • Immunology 368
  • Genetics 409
  • Biological Psychiatry 33
  • Modeling and Simulation 52
  • Infectious Diseases 197
Replace Konrad Rawlik with:
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Keith Noto United States
Birte Kehr Germany
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Jingxiang Li China
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Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by Mark Norman Read

Since Specialization
Citations

This map shows the geographic impact of Mark Norman 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 Norman 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 Norman Read more than expected).

Fields of papers citing papers by Mark Norman Read

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Norman 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 Norman Read. The network helps show where Mark Norman Read may publish in the future.

Co-authors

The 25 scholars most cited alongside Mark Norman Read, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark Norman Read Line = papers co-authored together Mark Norman Read links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001388
2 2022186
3 2016152
4 2021123
5 2020114
6 2021111
7 201892
8 201187
9 201381
10 202277
11 202074
12 201350
13 201546
14 201144
15 201742
16 201939
17 202029
18 202126
19 201620
20 201018

About Mark Norman Read

Mark Norman Read is a scholar working on Molecular Biology, Immunology, Genetics, Modeling and Simulation and Physiology, having authored 52 papers that have together received 2.0k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (12 papers), Gut microbiota and health (11 papers), T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (7 papers), Evolution and Genetic Dynamics (6 papers), Diet and metabolism studies (6 papers), Single-cell and spatial transcriptomics (5 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). The work is most often cited by research in Immunology (368 citations), Genetics (409 citations), Biological Psychiatry (33 citations), Modeling and Simulation (52 citations) and Infectious Diseases (197 citations). Mark Norman Read has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Jon Timmis, Paul S. Andrews, Andrew J. Holmes, Kieran Alden, Vipin Kumar, Nicholas Jonathan Cole King, Mark Christopher Coles, Stephen James Simpson, Thomas M. Ashhurst and Givanna Haryono Putri. Their work appears in journals such as Gut Microbes, Journal of The Royal Society Interface, Cytometry Part A, PLoS Computational Biology 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.

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