Reference Citation Analysis: Find an Article, Find a Category, Find a Journal, Find a Scholar

For: Krishnan S, van Avesaat M, Troost FJ, Hendriks HF, de Graaf AA. A new flexible plug and play scheme for modeling, simulating, and predicting gastric emptying. Theor Biol Med Model 2014;11:28. [PMID: 24917054 PMCID: PMC4080776 DOI: 10.1186/1742-4682-11-28] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2013] [Accepted: 05/16/2014] [Indexed: 11/10/2022] Open

For:	Krishnan S, van Avesaat M, Troost FJ, Hendriks HF, de Graaf AA. A new flexible plug and play scheme for modeling, simulating, and predicting gastric emptying. Theor Biol Med Model 2014;11:28. [PMID: 24917054 PMCID: PMC4080776 DOI: 10.1186/1742-4682-11-28] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2013] [Accepted: 05/16/2014] [Indexed: 11/10/2022] Open

Number	Cited by Other Article(s)
1	Bellmann S, Krishnan S, de Graaf A, de Ligt RA, Pasman WJ, Minekus M, Havenaar R. Appetite ratings of foods are predictable with an in vitro advanced gastrointestinal model in combination with an in silico artificial neural network. Food Res Int 2019;122:77-86. [DOI: 10.1016/j.foodres.2019.03.051] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2018] [Revised: 03/22/2019] [Accepted: 03/23/2019] [Indexed: 01/26/2023] Abstract Collapse Key Words Collapse MESH Headings Collapse Grants Collapse Affiliation(s) Collapse Collaborators Collapse

Number

Cited by Other Article(s)

Bellmann S, Krishnan S, de Graaf A, de Ligt RA, Pasman WJ, Minekus M, Havenaar R. Appetite ratings of foods are predictable with an in vitro advanced gastrointestinal model in combination with an in silico artificial neural network. Food Res Int 2019;122:77-86. [DOI: 10.1016/j.foodres.2019.03.051] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2018] [Revised: 03/22/2019] [Accepted: 03/23/2019] [Indexed: 01/26/2023]