D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Engineering and Technology D-index 32 Citations 4,932 136 World Ranking 6772 National Ranking 297

Overview

What is he best known for?

The fields of study he is best known for:

  • Gene
  • Enzyme
  • Biochemistry

His primary areas of investigation include Bioinformatics, Biological system, Physiome, Algorithm and ATP hydrolysis. His Bioinformatics research is multidisciplinary, incorporating elements of CellML, Biophysical Phenomena, Computational biology and Documentation. His biological study spans a wide range of topics, including Conservation law, Prior information and Biochemical Phenomena.

His research in Physiome intersects with topics in Genetic profile, Torso, Breathing, Ion channel and Integrative physiology. As a part of the same scientific study, Edmund J. Crampin usually deals with the Algorithm, concentrating on Turing and frequently concerns with Pattern formation and Domain. His ATP hydrolysis research is multidisciplinary, incorporating perspectives in Active Ion Transport, Ion transporter, Sodium-Potassium-Exchanging ATPase and Membrane potential.

His most cited work include:

  • Minimum information requested in the annotation of biochemical models (MIRIAM) (482 citations)
  • Reaction and Diffusion on Growing Domains: Scenarios for Robust Pattern Formation (252 citations)
  • Computational physiology and the Physiome Project. (210 citations)

What are the main themes of his work throughout his whole career to date?

Edmund J. Crampin mainly investigates Biophysics, Biological system, Cell biology, Bond graph and Computational biology. His Biophysics research includes elements of Calcium, Endoplasmic reticulum, Biochemistry, Contraction and Cytosol. His work deals with themes such as Myocyte and Receptor, which intersect with Calcium.

His Biological system research is multidisciplinary, relying on both Energy consumption, Elementary reaction and Bioinformatics. His Cell biology research includes themes of Endocrinology and Keratinocyte. In his work, Inference is strongly intertwined with Gene regulatory network, which is a subfield of Computational biology.

He most often published in these fields:

  • Biophysics (18.45%)
  • Biological system (13.59%)
  • Cell biology (12.14%)

What were the highlights of his more recent work (between 2018-2021)?

  • Biophysics (18.45%)
  • Calcium (8.74%)
  • Bond graph (13.11%)

In recent papers he was focusing on the following fields of study:

Edmund J. Crampin spends much of his time researching Biophysics, Calcium, Bond graph, Ryanodine receptor and Statistical physics. His studies deal with areas such as ATPase, SERCA, Transporter, Nanoparticle and Membrane as well as Biophysics. Edmund J. Crampin combines subjects such as Nanotechnology, Contraction, Papillary muscle and Isometric exercise with his study of Calcium.

Computation is closely connected to Lattice in his research, which is encompassed under the umbrella topic of Statistical physics. His work in Systems biology addresses issues such as Python, which are connected to fields such as Toolchain and Software engineering. His study brings together the fields of Precision and recall and Biological system.

Between 2018 and 2021, his most popular works were:

  • Link between Low-Fouling and Stealth: A Whole Blood Biomolecular Corona and Cellular Association Analysis on Nanoengineered Particles (19 citations)
  • Physically-plausible modelling of biomolecular systems: A simplified, energy-based model of the mitochondrial electron transport chain. (10 citations)
  • A thermodynamic framework for modelling membrane transporters. (9 citations)

In his most recent research, the most cited papers focused on:

  • Gene
  • Enzyme
  • Biochemistry

Biological system, Statistical physics, Lattice, Systems biology and Reaction–diffusion system are his primary areas of study. His Biological system study incorporates themes from Treatment side effects and Cell subpopulations. His Statistical physics research incorporates elements of Spatial ecology, Gating, Markov model and Calcium-induced calcium release.

Edmund J. Crampin integrates many fields, such as Lattice and engineering, in his works. The study incorporates disciplines such as Transporter, ATPase and Software engineering in addition to Systems biology. His research on Reaction–diffusion system often connects related topics like Computation.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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

Nicolas Le Novère;Andrew Finney;Michael Hucka;Upinder S. Bhalla.
Nature Biotechnology (2005)

661 Citations

Minimum information reporting in bio-nano experimental literature.

Matthew Faria;Mattias Björnmalm;Kristofer J. Thurecht;Stephen J. Kent.
Nature Nanotechnology (2018)

399 Citations

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

Edmund J. Crampin;Eamonn A. Gaffney;Philip K. Maini.
Bulletin of Mathematical Biology (1999)

383 Citations

Computational physiology and the Physiome Project.

Edmund J. Crampin;Edmund J. Crampin;Matthew Halstead;Peter Hunter;Poul Nielsen.
Experimental Physiology (2004)

324 Citations

Systems Biology: An Approach

P Kohl;E J Crampin;T A Quinn;D Noble.
Clinical Pharmacology & Therapeutics (2010)

264 Citations

Mathematical and computational techniques to deduce complex biochemical reaction mechanisms.

E.J. Crampin;S. Schnell;P.E. McSharry.
Progress in Biophysics & Molecular Biology (2004)

208 Citations

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

E. J. Crampin;W. W. Hackborn;P. K. Maini.
Bulletin of Mathematical Biology (2002)

185 Citations

Minimum Information About a Simulation Experiment (MIASE)

Dagmar Waltemath;Richard R. Adams;Daniel A. Beard;Frank T. Bergmann;Frank T. Bergmann.
PLOS Computational Biology (2011)

147 Citations

Multiscale computational modelling of the heart

N. P. Smith;D. P. Nickerson;E. J. Crampin;P. J. Hunter.
Acta Numerica (2004)

146 Citations

Bioinformatics, multiscale modeling and the IUPS Physiome Project

Peter J. Hunter;Edmund J. Crampin;Poul M. F. Nielsen.
Briefings in Bioinformatics (2008)

109 Citations

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Best Scientists Citing Edmund J. Crampin

Peter Hunter

Peter Hunter

University of Auckland

Publications: 64

Nicolas Le Novère

Nicolas Le Novère

Babraham Institute

Publications: 55

Philip K. Maini

Philip K. Maini

University of Oxford

Publications: 44

Alfio Quarteroni

Alfio Quarteroni

Polytechnic University of Milan

Publications: 40

Nicolas P. Smith

Nicolas P. Smith

University of Auckland

Publications: 38

Michael Hucka

Michael Hucka

California Institute of Technology

Publications: 36

Pedro Mendes

Pedro Mendes

University of Connecticut

Publications: 35

Frank Caruso

Frank Caruso

University of Melbourne

Publications: 34

Jacky L. Snoep

Jacky L. Snoep

Vrije Universiteit Amsterdam

Publications: 32

Erik W. Thompson

Erik W. Thompson

Queensland University of Technology

Publications: 29

Edda Klipp

Edda Klipp

Humboldt-Universität zu Berlin

Publications: 29

Eamonn A. Gaffney

Eamonn A. Gaffney

University of Oxford

Publications: 28

Matthew J. Simpson

Matthew J. Simpson

Queensland University of Technology

Publications: 24

Douglas B. Kell

Douglas B. Kell

University of Liverpool

Publications: 21

Olaf Wolkenhauer

Olaf Wolkenhauer

University of Rostock

Publications: 21

Stephen J. Kent

Stephen J. Kent

University of Melbourne

Publications: 20

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