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Last Name
Institution

Connection

Paul Kulesa to Computer Simulation

This is a "connection" page, showing publications Paul Kulesa has written about Computer Simulation.

 
Connection Strength
 
 
 
1.220
 
  1. Kulesa PM, Teddy JM, Smith M, Alexander R, Cooper CH, Lansford R, McLennan R. Multispectral fingerprinting for improved in vivo cell dynamics analysis. BMC Dev Biol. 2010 Sep 24; 10:101.
    View in: PubMed
    Score: 0.365
  2. McLennan R, Giniunaite R, Hildebrand K, Teddy JM, Kasemeier-Kulesa JC, Bolanos L, Baker RE, Maini PK, Kulesa PM. Colec12 and Trail signaling confine cranial neural crest cell trajectories and promote collective cell migration. Dev Dyn. 2023 05; 252(5):629-646.
    View in: PubMed
    Score: 0.215
  3. McKinney MC, McLennan R, Giniunaite R, Baker RE, Maini PK, Othmer HG, Kulesa PM. Visualizing mesoderm and neural crest cell dynamics during chick head morphogenesis. Dev Biol. 2020 05 15; 461(2):184-196.
    View in: PubMed
    Score: 0.175
  4. McLennan R, Schumacher LJ, Morrison JA, Teddy JM, Ridenour DA, Box AC, Semerad CL, Li H, McDowell W, Kay D, Maini PK, Baker RE, Kulesa PM. VEGF signals induce trailblazer cell identity that drives neural crest migration. Dev Biol. 2015 Nov 01; 407(1):12-25.
    View in: PubMed
    Score: 0.128
  5. McLennan R, Schumacher LJ, Morrison JA, Teddy JM, Ridenour DA, Box AC, Semerad CL, Li H, McDowell W, Kay D, Maini PK, Baker RE, Kulesa PM. Neural crest migration is driven by a few trailblazer cells with a unique molecular signature narrowly confined to the invasive front. Development. 2015 Jun 01; 142(11):2014-25.
    View in: PubMed
    Score: 0.126
  6. Wynn ML, Rupp P, Trainor PA, Schnell S, Kulesa PM. Follow-the-leader cell migration requires biased cell-cell contact and local microenvironmental signals. Phys Biol. 2013 Jun; 10(3):035003.
    View in: PubMed
    Score: 0.110
  7. Wynn ML, Kulesa PM, Schnell S. Computational modelling of cell chain migration reveals mechanisms that sustain follow-the-leader behaviour. J R Soc Interface. 2012 Jul 07; 9(72):1576-88.
    View in: PubMed
    Score: 0.100
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.