Tim Chico
Impact in
- Cell Biology top 1%
- Zebrafish Biomedical Research Applications
- Cellular Mechanics and Interactions
- Health Informatics top 5%
Papers in
- Cell Biology 28
- Zebrafish Biomedical Research Applications 27
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- Artificial Intelligence in Healthcare and Education 7
- Co-authors
- David C. Crossman (10 shared papers)Jovana Serbanovic‐Canic (8 shared papers)Paul Charles Evans (8 shared papers)Timothy Ellam (4 shared papers)Victoria C. Ridger (2 shared papers)Peter Novodvorský (4 shared papers)Céline Souilhol (2 shared papers)Maria Fragiadaki (1 shared paper)
- Journals
- Arteriosclerosis Thrombosis and Vascular Biology (5 papers)Sensors (4 papers)PLoS ONE (3 papers)British Journal of Sports Medicine (3 papers)Heart (3 papers)
- Partner nations
- United KingdomUnited StatesNetherlands
In The Last Decade
Tim Chico
84 papers receiving 2.8k citations
Tim Chico's Hit Papers
Peers
Comparison fields: 5 of 131
- Cell Biology 672
- Health Informatics 59
- Nephrology 153
- Immunology 292
- Cardiology and Cardiovascular Medicine 245
Countries citing papers authored by Tim Chico
This map shows the geographic impact of Tim Chico'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 Tim Chico with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Chico more than expected).
Fields of papers citing papers by Tim Chico
This network shows the impact of papers produced by Tim Chico. 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 Tim Chico. The network helps show where Tim Chico may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Chico, 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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Endothelial responses to shear stress in atherosclerosis: a novel role for developmental genes Hit paper breakdown → | 2019 | 377 |
| 2 | 2011 | 168 | |
| 3 | 2016 | 123 | |
| 4 | 2011 | 117 | |
| 5 | 2022 | 117 | |
| 6 | 2021 | 112 | |
| 7 | 2008 | 109 | |
| 8 | 2020 | 102 | |
| 9 | 2017 | 98 | |
| 10 | 2014 | 94 | |
| 11 | The Lancet Commission on rethinking coronary artery disease: moving from ischaemia to atheroma Hit paper breakdown → | 2025 | 83 |
| 12 | 2023 | 78 | |
| 13 | 2019 | 77 | |
| 14 | 2013 | 62 | |
| 15 | 2007 | 60 | |
| 16 | 2019 | 60 | |
| 17 | 2012 | 48 | |
| 18 | 2016 | 48 | |
| 19 | 2013 | 42 | |
| 20 | 2014 | 42 |
About Tim Chico
Tim Chico is a scholar working on Cell Biology, Health Informatics, Health Information Management, Immunology and Molecular Biology, having authored 86 papers that have together received 2.8k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (27 papers), Angiogenesis and VEGF in Cancer (8 papers), Artificial Intelligence in Healthcare and Education (7 papers), Atherosclerosis and Cardiovascular Diseases (6 papers), Developmental Biology and Gene Regulation (5 papers), Artificial Intelligence in Healthcare (5 papers), Barrier Structure and Function Studies (4 papers) and Mobile Health and mHealth Applications (4 papers). The work is most often cited by research in Cell Biology (672 citations), Health Informatics (59 citations), Nephrology (153 citations), Immunology (292 citations) and Cardiology and Cardiovascular Medicine (245 citations). Tim Chico has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include David C. Crossman, Jovana Serbanovic‐Canic, Paul Charles Evans, Timothy Ellam, Victoria C. Ridger, Peter Novodvorský, Céline Souilhol, Maria Fragiadaki, Hannah Grace Roddie and Philip William Ingham. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, Sensors, PLoS ONE, British Journal of Sports Medicine and Heart.
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.