James Tyrrell

17 papers receiving 1.9k citations

James Tyrrell's Hit Papers

Mechanical compression drives cancer cells toward invasive phenotype 2011 · 494 citations
4940+5+11Years since publication100200300400500

Peers

James Tyrrell
Comparison fields: 5 of 121
  • Biophysics 194
  • Cell Biology 432
  • Modeling and Simulation 90
  • Biomedical Engineering 850
  • Cancer Research 233
Replace Ryan M. Lanning with:
Ryan M. Lanning United States
William J. Polacheck United States
Jessie S. Jeon South Korea
Giorgio Seano United States
Minhwan Chung South Korea
Maria Vinci Italy
Kristin M. Riching United States
Irene M. Aspalter United Kingdom
Ioannis K. Zervantonakis United States
Keehoon Jung South Korea
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Citations per field
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Citations per year

Countries citing papers authored by James Tyrrell

Since Specialization
Citations

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

Fields of papers citing papers by James Tyrrell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James Tyrrell. 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 James Tyrrell. The network helps show where James Tyrrell may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Three-dimensional microscopy of the tumor microenvironment in vivo using optical frequency domain imaging
Hit paper breakdown →
2009584
2
Mechanical compression drives cancer cells toward invasive phenotype
Hit paper breakdown →
2011494
3 2007282
4 2010184
5 2008155
6 2007112
7 200997
8 200525
9 201823
10 20046
11 20065
12 20102
13 20072
14
Bibliotheca politica : the first complete edition containing the fourteenth dialogue of 1702
19791
15 20151
16 20161
17 20161
18 19771
19 20250
20 20140

About James Tyrrell

James Tyrrell is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Ophthalmology, Oncology and Computational Mechanics, having authored 20 papers that have together received 2.0k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Barrier Structure and Function Studies (2 papers), Cancer Cells and Metastasis (2 papers), Lattice Boltzmann Simulation Studies (2 papers), Cell Image Analysis Techniques (2 papers), European Political History Analysis (1 paper) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Biophysics (194 citations), Cell Biology (432 citations), Modeling and Simulation (90 citations), Biomedical Engineering (850 citations) and Cancer Research (233 citations). James Tyrrell has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Lance L. Munn, Dai Fukumura, Ryan M. Lanning, Janet M. Tse, Sarah A. Wilcox‐Adelman, Gang Cheng, Yves Boucher, Triantafyllos Stylianopoulos, Guillermo J. Tearney and Timothy P. Padera. Their work appears in journals such as Nature Medicine, PLoS ONE, Blood, Microvascular Research and IEEE Transactions on Medical Imaging.

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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