Tim Chico

3.6k citations
68 papers · 2.3k · 1 hit paper · h-index 26

Impact in

    • Zebrafish Biomedical Research Applications
  • Nephrology top 5%
    • Parathyroid Disorders and Treatments

Papers in

    • Congenital heart defects research 15
    • Angiogenesis and VEGF in Cancer 11
    • Kruppel-like factors research 4
    • Zebrafish Biomedical Research Applications 26

Tim Chico

64 papers receiving 2.2k citations

Tim Chico's Hit Papers

Endothelial responses to shear stress in atherosclerosis: a novel role for developmental genes 2019 · 334 citations
3340+2+4Years since publication100200300

Peers

Tim Chico
Comparison fields: 5 of 150
  • Cell Biology 587
  • Nephrology 144
  • Health Informatics 27
  • Immunology 329
  • Cancer Research 226
Replace Koji Ikeda with:
Koji Ikeda Japan
Ingeborg Stalmans Belgium
David J. Carey United States
Dong Li China
Benjamin Meder Germany
Yu‐Ting Huang Taiwan
Marc N. Wein United States
Akihiko Mabuchi Japan
Mark C. Gillies Australia
Tim Chico relative to Koji Ikeda Japan Koji Ikeda's profile →
Citations per field
00.5×10×13.5×
Koji Ikeda · 1×
Citations per year

Countries citing papers authored by Tim Chico

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 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 →
2019334
2 2011162
3 2016116
4 2011108
5 2008102
6 202195
7 201790
8 202289
9 202089
10 201488
11 201972
12 201362
13 202360
14 201958
15 200754
16 201438
17 201337
18 201536
19 201535
20 200935

About Tim Chico

Tim Chico is a scholar working on Molecular Biology, Cell Biology, Cardiology and Cardiovascular Medicine, Surgery and Immunology, having authored 68 papers that have together received 2.3k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (26 papers), Congenital heart defects research (15 papers), Angiogenesis and VEGF in Cancer (11 papers), Telemedicine and Telehealth Implementation (4 papers), Non-Invasive Vital Sign Monitoring (4 papers), Kruppel-like factors research (4 papers), Cardiac Health and Mental Health (4 papers) and Vitamin D Research Studies (3 papers). The work is most often cited by research in Cell Biology (587 citations), Nephrology (144 citations), Health Informatics (27 citations), Immunology (329 citations) and Cancer Research (226 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 C. Evans, Timothy Ellam, Victoria Ridger, Peter Novodvorský, Céline Souilhol, Hannah Roddie, Maria Fragiadaki and Caroline Gray. Their work appears in journals such as Sensors, Arteriosclerosis Thrombosis and Vascular Biology, Disease Models & Mechanisms, PLoS ONE 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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