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Keywords
Last Name
Institution

Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Stefano Allesina and Mercedes Pascual.

 
Connection Strength
 
 
 
1.774
 
  1. Allesina S, Pascual M. Googling food webs: can an eigenvector measure species' importance for coextinctions? PLoS Comput Biol. 2009 Sep; 5(9):e1000494.
    View in: PubMed
    Score: 0.407
  2. Allesina S, Pascual M. Food web models: a plea for groups. Ecol Lett. 2009 Jul; 12(7):652-62.
    View in: PubMed
    Score: 0.398
  3. Allesina S, Alonso D, Pascual M. A general model for food web structure. Science. 2008 May 02; 320(5876):658-61.
    View in: PubMed
    Score: 0.371
  4. Michalska-Smith MJ, Sander EL, Pascual M, Allesina S. Understanding the role of parasites in food webs using the group model. J Anim Ecol. 2018 05; 87(3):790-800.
    View in: PubMed
    Score: 0.181
  5. Baskerville EB, Dobson AP, Bedford T, Allesina S, Anderson TM, Pascual M. Spatial guilds in the Serengeti food web revealed by a Bayesian group model. PLoS Comput Biol. 2011 Dec; 7(12):e1002321.
    View in: PubMed
    Score: 0.120
  6. Dobson A, Allesina S, Lafferty K, Pascual M. The assembly, collapse and restoration of food webs. Philos Trans R Soc Lond B Biol Sci. 2009 Jun 27; 364(1524):1803-6.
    View in: PubMed
    Score: 0.101
  7. Gyawali B, Parsad S, Feinberg BA, Nabhan C. Real-World Evidence and Randomized Studies in the Precision Oncology Era: The Right Balance. JCO Precis Oncol. 2017 Nov; 1:1-5.
    View in: PubMed
    Score: 0.090
  8. Peacor SD, Allesina S, Riolo RL, Pascual M. Phenotypic plasticity opposes species invasions by altering fitness surface. PLoS Biol. 2006 Oct; 4(11):e372.
    View in: PubMed
    Score: 0.083
  9. Lafferty KD, Allesina S, Arim M, Briggs CJ, De Leo G, Dobson AP, Dunne JA, Johnson PT, Kuris AM, Marcogliese DJ, Martinez ND, Memmott J, Marquet PA, McLaughlin JP, Mordecai EA, Pascual M, Poulin R, Thieltges DW. Parasites in food webs: the ultimate missing links. Ecol Lett. 2008 Jun; 11(6):533-46.
    View in: PubMed
    Score: 0.023
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.