Andrew Rutenberg

Andrew Rutenberg

Dalhousie University

H-index: 28

North America-Canada

About Andrew Rutenberg

Andrew Rutenberg, With an exceptional h-index of 28 and a recent h-index of 19 (since 2020), a distinguished researcher at Dalhousie University, specializes in the field of Biological Physics.

His recent articles reflect a diverse array of research interests and contributions to the field:

Dynamical network stability analysis of multiple biological ages provides a framework for understanding the aging process

Network topologies for maximal organismal health span and lifespan

Network dynamical stability analysis reveals key “mallostatic” natural variables that erode homeostasis and drive age-related decline of health

Using deep-learning to obtain calibrated individual disease and ADL damage transition probabilities between successive ELSA waves

Predictive modeling of damage and repair for disease and activity of daily living status in ELSA dataset using machine learning models

Torsion and bistability of double-twist elastomers

Modelling lifespan reduction in an exogenous damage model of generic disease

Network dynamical stability analysis of homeostasis reveals" mallostasis": biological equilibria drifting towards worsening health with age

Andrew Rutenberg Information

University

Position

Professor of Physics

Citations(all)

3251

Citations(since 2020)

1202

Cited By

2471

hIndex(all)

28

hIndex(since 2020)

19

i10Index(all)

58

i10Index(since 2020)

35

Email

University Profile Page

Dalhousie University

Google Scholar

View Google Scholar Profile

Andrew Rutenberg Skills & Research Interests

Biological Physics

Top articles of Andrew Rutenberg

Title

Journal

Author(s)

Publication Date

Dynamical network stability analysis of multiple biological ages provides a framework for understanding the aging process

The Journals of Gerontology, Series A: Biological Sciences and Medical Sciences

Glen Pridham

Andrew D Rutenberg

2024/1/11

Network topologies for maximal organismal health span and lifespan

Chaos: An Interdisciplinary Journal of Nonlinear Science

Garrett Stubbings

Andrew Rutenberg

2023/2/1

Network dynamical stability analysis reveals key “mallostatic” natural variables that erode homeostasis and drive age-related decline of health

Scientific Reports

Glen Pridham

Andrew D Rutenberg

2023/12/13

Using deep-learning to obtain calibrated individual disease and ADL damage transition probabilities between successive ELSA waves

bioRxiv

Emre Dil

Andrew Rutenberg

2023

Predictive modeling of damage and repair for disease and activity of daily living status in ELSA dataset using machine learning models

Joanna Mills Flemming

Laurent Kreplak

Andrew Rutenberg

2023/12/8

Torsion and bistability of double-twist elastomers

Soft Matter

Matthew P Leighton

Laurent Kreplak

Andrew D Rutenberg

2023

Modelling lifespan reduction in an exogenous damage model of generic disease

Scientific Reports

Rebecca Tobin

Glen Pridham

Andrew D Rutenberg

2023/9/28

Network dynamical stability analysis of homeostasis reveals" mallostasis": biological equilibria drifting towards worsening health with age

arXiv preprint arXiv:2306.12448

Glen Pridham

Andrew D Rutenberg

2023/6/20

Efficient representations of binarized health deficit data: the frailty index and beyond

Geroscience

Glen Pridham

Kenneth Rockwood

Andrew Rutenberg

2023/6

Anisotropic swelling due to hydration in fibrous biomaterials

arXiv preprint arXiv:2312.08771

Xander A Gouws

Laurent Kreplak

Andrew D Rutenberg

2023/12/14

Strategies for handling missing data that improve Frailty Index estimation and predictive power: lessons from the NHANES dataset

GeroScience

Glen Pridham

Kenneth Rockwood

Andrew Rutenberg

2022/4

Measurements of damage and repair in aging mice and humans reveals that robustness and resilience decrease with age, operate over broad timescales, and are affected differently …

bioRxiv

S Farrell

AE Kane

E Bisset

SE Howlett

AD Rutenberg

2022/3/3

Interpretable machine learning for high-dimensional trajectories of aging health

PLoS Computational Biology

Spencer Farrell

Arnold Mitnitski

Kenneth Rockwood

Andrew D Rutenberg

2022/1/10

Measurements of damage and repair of binary health attributes in aging mice and humans reveal that robustness and resilience decrease with age, operate over broad timescales …

Elife

Spencer Farrell

Alice E Kane

Elise Bisset

Susan E Howlett

Andrew D Rutenberg

2022/11/21

A complex systems approach to aging biology

Alan A Cohen

Luigi Ferrucci

Tamàs Fülöp

Dominique Gravel

Nan Hao

...

2022/7

The degree of frailty as a translational measure of health in aging

Susan E Howlett

Andrew D Rutenberg

Kenneth Rockwood

2021/8

The potential for complex computational models of aging

Spencer Farrell

Garrett Stubbings

Kenneth Rockwood

Arnold Mitnitski

Andrew Rutenberg

2021/1/1

Interpretable Machine Learning of High-Dimensional Aging Health Trajectories

Innovation in Aging

Spencer Farrell

Arnold Mitnitski

Kenneth Rockwood

Andrew Rutenberg

2021

Non-equilibrium growth and twist of cross-linked collagen fibrils

Soft Matter

Matthew P Leighton

Laurent Kreplak

Andrew D Rutenberg

2021

Chiral phase-coexistence in compressed double-twist elastomers

Soft Matter

Matthew P Leighton

Laurent Kreplak

Andrew David Rutenberg

2021

See List of Professors in Andrew Rutenberg University(Dalhousie University)

Co-Authors

H-index: 138
Kenneth Rockwood

Kenneth Rockwood

Dalhousie University

H-index: 72
A J Bray

A J Bray

Manchester University

H-index: 68
Arnold Mitnitski

Arnold Mitnitski

Dalhousie University

H-index: 54
Martin Grant

Martin Grant

McGill University

H-index: 49
Peter K. Kim

Peter K. Kim

University of Toronto

H-index: 40
Laurent Kreplak

Laurent Kreplak

Dalhousie University

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