The Effect of Co-authorship Network Density on the Performance of Postgraduate Programs
BBR: Brazilian Business Review, 2019 By focusing on the performance of research teams in the management area, this study analyzes the effect of the co-authorship of scientific publications on the performance of postgraduate programs (PPGs) in management.
Jandir Pauli +3 more
doaj +1 more source
Overview of Hofstede-Inspired Research Over the Past 40 Years: The Network Diversity Perspective
SAGE Open, 2020 Hofstede’s cultural value framework has inspired many empirical studies in various fields. Scholars have advanced our understanding of how the Hofstede value model is used. However, there remain a number of underexplored areas regarding the ways in which
Yan Zhou, Jong-Wook Kwon
doaj +1 more source
Economics of co-authorship [PDF]
Starting from the literature on the rising incidence of co-authorship in economics, choices about co-authorship are analyzed with a theoretical model, assuming that authors optimize the returns from publications.
Bruno, Bruno
core
Outstanding and ordinary scientists’ co-authorship networks in the early career phase
, 2021 How do scientists’ ego-centered co-authorship networks affect their research productivity and impact during the early career phase? Do co-authorship networks evolve differently for outstanding scientists vs. ordinary scientists?
Tang, Chaoying +3 more
core +1 more source
Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions
FEBS Letters, EarlyView.The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang +4 more
wiley +1 more source
REDES: Revista Hispana para el Análisis de Redes Sociales, 2010 A study of mainstream Mexican scientific production from 1900 to 1950 is presented. A methodological mixture is made with historiographical and bibliometrical network analysis elements.
Collazo Reyes, Francisco +2 more
doaj
Can co-authorship networks be used to predict author research impact? A machine-learning based analysis within the field of degenerative cervical myelopathy research. [PDF]
PLoS One, 2021 Grodzinski N, Grodzinski B, Davies BM.
europepmc +1 more source
Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential
FEBS Letters, EarlyView.Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta +3 more
wiley +1 more source
Structure‐forward targeting of claudins with synthetic binders
FEBS Letters, EarlyView.Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley +1 more source
Analysis of University Researcher Collaboration Networks using co-authorship
Social network analysis gives evidence for the connections between groups of individuals. It is these connections that channel flow of information and the sharing of knowledge.
Yao, Jiadi
core +1 more source