World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
39
Citations
6056
World Ranking
7703
National Ranking
392

Overview

Edmund J. Crampin was affiliated with the University of Melbourne in Australia. Their research predominantly focused on the field of Biochemistry, Genetics and Molecular Biology, with a significant concentration on Molecular Biology. Other key subfields of study included Cardiology and Cardiovascular Medicine, Biomedical Engineering, Cell Biology, and Biomaterials.

The scientist's work addressed a variety of specialized topics. These included:

  • Gene Regulatory Network Analysis
  • Microbial Metabolic Engineering and Bioproduction
  • Bioinformatics and Genomic Networks
  • Cardiac electrophysiology and arrhythmias
  • Nanoparticle-Based Drug Delivery
  • Ion channel regulation and function
  • Field-Flow Fractionation Techniques

Edmund J. Crampin contributed frequently to certain publication venues. Their most common outlets were:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • PLoS Computational Biology
  • Mathematical Biosciences
  • Journal of Theoretical Biology
  • Journal of The Royal Society Interface

The scientist collaborated extensively with several co-authors over their career. Frequent collaborators included:

  • Michael Pan
  • Stuart T. Johnston
  • P.J. Gawthrop
  • Kenneth Tran
  • David Nickerson

Among their recent research publications were:

  • Modular assembly of dynamic models in systems biology, 2021, PLoS Computational Biology
  • Understanding nano-engineered particle-cell interactions: biological insights from mathematical models, 2021, Nanoscale Advances
  • Spatio-temporal analysis of nanoparticles in live tumor spheroids impacted by cell origin and density, 2021, Journal of Controlled Release
  • A few clarifications on MIRIBEL, 2020, Nature Nanotechnology
  • Physically-plausible modelling of biomolecular systems: A simplified, energy-based model of the mitochondrial electron transport chain, 2020, Journal of Theoretical Biology

Best Publications

  • Minimum information requested in the annotation of biochemical models (MIRIAM)

    Nicolas Le Novère;Andrew Finney;Michael Hucka;Upinder S. Bhalla

  • Minimum information reporting in bio-nano experimental literature.

    Matthew Faria;Mattias Björnmalm;Kristofer J. Thurecht;Stephen J. Kent

  • Reaction and Diffusion on Growing Domains: Scenarios for Robust Pattern Formation

    Edmund J. Crampin;Eamonn A. Gaffney;Philip K. Maini

  • Computational physiology and the Physiome Project.

    Edmund J. Crampin;Edmund J. Crampin;Matthew Halstead;Peter Hunter;Poul Nielsen

  • Systems Biology: An Approach

    P Kohl;E J Crampin;T A Quinn;D Noble

  • Mathematical and computational techniques to deduce complex biochemical reaction mechanisms.

    E.J. Crampin;S. Schnell;P.E. McSharry

  • Pattern formation in reaction-diffusion models with nonuniform domain growth.

    E. J. Crampin;W. W. Hackborn;P. K. Maini

  • Minimum Information About a Simulation Experiment (MIASE)

    Dagmar Waltemath;Richard R. Adams;Daniel A. Beard;Frank T. Bergmann;Frank T. Bergmann

  • Multiscale computational modelling of the heart

    N. P. Smith;D. P. Nickerson;E. J. Crampin;P. J. Hunter

  • Development of models of active ion transport for whole-cell modelling: cardiac sodium-potassium pump as a case study.

    Nicolas Smith;E J Crampin;E J Crampin

  • Combinatorial Targeting by MicroRNAs Co-ordinates Post-transcriptional Control of EMT.

    Joseph Cursons;Katherine A. Pillman;Kaitlin G. Scheer;Philip A. Gregory;Philip A. Gregory

  • Bioinformatics, multiscale modeling and the IUPS Physiome Project

    Peter J. Hunter;Edmund J. Crampin;Poul M. F. Nielsen

  • A Thermodynamic Model of the Cardiac Sarcoplasmic/Endoplasmic Ca2+ (SERCA) Pump

    Kenneth Tran;Nicolas P. Smith;Denis S. Loiselle;Edmund J. Crampin

  • MCMC Can Detect Nonidentifiable Models

    Ivo Siekmann;James Sneyd;Edmund J. Crampin

  • Gene network inference and visualization tools for biologists: application to new human transcriptome datasets.

    Daniel Hurley;Hiromitsu Araki;Yoshinori Tamada;Ben Dunmore

  • A Kinetic Model for Type I and II IP3R Accounting for Mode Changes

    Ivo Siekmann;Larry E. Wagner;David Yule;Edmund J. Crampin

  • A Framework to Account for Sedimentation and Diffusion in Particle-Cell Interactions.

    Jiwei Cui;Matthew Faria;Mattias Björnmalm;Yi Ju

  • MCMC Estimation of Markov Models for Ion Channels

    Ivo Siekmann;Larry E. Wagner;David Yule;Colin Fox

  • The balance between inactivation and activation of the Na+-K+ pump underlies the triphasic accumulation of extracellular K+ during myocardial ischemia.

    Jonna R. Terkildsen;Edmund J. Crampin;Nicolas P. Smith

  • A dynamic model of excitation-contraction coupling during acidosis in cardiac ventricular myocytes

    Edmund J. Crampin;Nicolas P. Smith

  • Mode Transitions in a Model Reaction–Diffusion System Driven by Domain Growth and Noise

    Iain Barrass;Edmund J. Crampin;Edmund J. Crampin;Philip K. Maini

  • Energy-based analysis of biochemical cycles using bond graphs.

    Peter J. Gawthrop;Edmund J. Crampin

  • Computational biology of cardiac myocytes: proposed standards for the physiome.

    Nicolas P. Smith;Edmund J. Crampin;Steven A. Niederer;James B. Bassingthwaighte

Frequent Co-Authors

Peter J. Gawthrop
Peter J. Gawthrop University of Melbourne
Nicolas P. Smith
Nicolas P. Smith University of Auckland
Peter Hunter
Peter Hunter University of Auckland
Poul M. F. Nielsen
Poul M. F. Nielsen University of Auckland
David I. Yule
David I. Yule University of Rochester
Cristin G. Print
Cristin G. Print University of Auckland
Eric Hanssen
Eric Hanssen University of Melbourne
Philip K. Maini
Philip K. Maini University of Oxford
Frank Caruso
Frank Caruso University of Melbourne

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Considering a career in Engineering and Technology? It’s important to know that complementary fields such as business, administration, and leadership can broaden your opportunities in today’s workforce. Many students are choosing flexible online programs to combine technical skills with professional development. For instance, an online administration degree can provide essential organizational and communication skills useful in tech-driven workplaces.

To advance your understanding of business operations, you might explore an online business administration degree. For those interested in managing teams or driving change within tech organizations, a masters in organizational leadership online can offer advanced skills in strategic decision-making and leadership theory.

Meanwhile, professionals targeting executive roles in technology-driven industries could benefit from an mba in operations management online. Each of these online degree pathways can complement your engineering or technology background and help you build a diverse, future-ready career.

Best Scientists Citing Edmund J. Crampin

Recently Published Articles