Michael G. Watson

1.6k citations
14 papers · 364 · h-index 9

Impact in

Papers in

    • Atherosclerosis and Cardiovascular Diseases 5
    • Immune cells in cancer 4
    • Adipokines, Inflammation, and Metabolic Diseases 3

Michael G. Watson

14 papers receiving 353 citations

Peers

Michael G. Watson
Comparison fields: 5 of 68
  • Modeling and Simulation 79
  • Astronomy and Astrophysics 106
  • Ocean Engineering 45
  • Rehabilitation 17
  • Nuclear and High Energy Physics 30
Replace Nao Nitta with:
Nao Nitta Japan
Masako Sugihara‐Seki Japan
Jiawen Luo China
Shiqi Zhou China
W. W. Johnson United States
Eric S. Diffenderfer United States
S. Xing China
Hiroshi Yoshitake Japan
Weiyuan Liu China
Peter De Coster Belgium
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Citations per field
00.5×10×15×20×22.5×
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Citations per year

Countries citing papers authored by Michael G. Watson

Since Specialization
Citations

This map shows the geographic impact of Michael G. Watson'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 Michael G. Watson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael G. Watson more than expected).

Fields of papers citing papers by Michael G. Watson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael G. Watson. 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 Michael G. Watson. The network helps show where Michael G. Watson may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael G. Watson, 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 Michael G. Watson Line = papers co-authored together Michael G. Watson links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 1986107
2 201053
3 201238
4 201237
5 201630
6
A two-phase model of early fibrous cap formation in atherosclerosis
201830
7 201829
8 201716
9 202310
10 19964
11 20243
12 20243
13 20123
14 20251

About Michael G. Watson

Michael G. Watson is a scholar working on Immunology, Epidemiology, Modeling and Simulation, Molecular Biology and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 364 indexed citations. Recurring topics across this work include Atherosclerosis and Cardiovascular Diseases (5 papers), Immune cells in cancer (4 papers), Mathematical Biology Tumor Growth (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Hydrocarbon exploration and reservoir analysis (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Hydraulic Fracturing and Reservoir Analysis (2 papers) and Enhanced Oil Recovery Techniques (2 papers). The work is most often cited by research in Modeling and Simulation (79 citations), Astronomy and Astrophysics (106 citations), Ocean Engineering (45 citations), Rehabilitation (17 citations) and Nuclear and High Energy Physics (30 citations). Michael G. Watson has collaborated with scholars based in United Kingdom, Australia and Slovakia. Frequent co-authors include K. O. Mason, N. White, Mark A. J. Chaplain, Christopher A. Mitchell, Steven Robert McDougall, S. R. McDougall, Mary R. Myerscough, Igor Bondino, Helen M. Byrne and Maria J. C. Machado. Their work appears in journals such as Bulletin of Mathematical Biology, Monthly Notices of the Royal Astronomical Society, Journal of Petroleum Science and Engineering, Lecture notes in physics and Journal of The Royal Society Interface.

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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