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D-Index & Metrics

Biology and Biochemistry

D-Index
57
Citations
38124
World Ranking
13498
National Ranking
5724

Overview

Michael P. Cummings is affiliated with the University of Maryland, College Park in the United States. Their research spans multiple disciplines primarily within Medicine and Biochemistry, Genetics and Molecular Biology.

The scientist's work predominantly focuses on the following subfields:

  • Molecular Biology
  • Genetics
  • Pulmonary and Respiratory Medicine
  • Endocrinology, Diabetes and Metabolism
  • Neurology

Research topics frequently covered by Michael P. Cummings include:

  • Machine Learning in Bioinformatics
  • Diabetes Management and Research
  • Parkinson's Disease Mechanisms and Treatments
  • Diabetes and associated disorders
  • Pancreatic function and diabetes
  • Vaccines and immunoinformatics approaches
  • Malaria Research and Control

Michael P. Cummings has contributed to several peer-reviewed papers, among them:

  • "An updated systematic review of interventions to increase awareness of mental health and well-being in athletes, coaches, officials and parents" (2022) published in Systematic Reviews
  • "Murine Tissue-Resident PDGFRα+ Fibro-Adipogenic Progenitors Spontaneously Acquire Osteogenic Phenotype in an Altered Inflammatory Environment" (2020) published in Journal of Bone and Mineral Research
  • "Machine learning-driven multifunctional peptide engineering for sustained ocular drug delivery" (2023) published in Nature Communications
  • "A critical assessment of gene catalogs for metagenomic analysis" (2021) published in Bioinformatics
  • "Routine Islet Autoantibody Testing in Clinically Diagnosed Adult-Onset Type 1 Diabetes Can Help Identify Misclassification and the Possibility of Successful Insulin Cessation" (2022) published in Diabetes Care

Frequent coauthors collaborating with Michael P. Cummings include:

  • Renee Ti Chou
  • Angus G. Jones
  • Hermione Price
  • Jessica A. Goodheart
  • Anita Hill

Michael P. Cummings regularly publishes in specialized venues such as:

  • Diabetes Care
  • npj Systems Biology and Applications
  • Sensors
  • Journal of Diabetes Science and Technology
  • Systematic Reviews

Best Publications

  • PAUP* [Phylogenetic Analysis Using Parsimony (and Other Methods)]

    Michael P. Cummings

  • PHYLIP (Phylogeny Inference Package)

    Michael P. Cummings

  • BEAGLE: An Application Programming Interface and High-Performance Computing Library for Statistical Phylogenetics

    Daniel L. Ayres;Aaron E. Darling;Derrick J. Zwickl;Peter Beerli

  • Independent Emergence of Artemisinin Resistance Mutations Among Plasmodium falciparum in Southeast Asia

    Shannon Takala-Harrison;Christopher G. Jacob;Cesar Arze;Michael P. Cummings

  • Sampling properties of DNA sequence data in phylogenetic analysis.

    M P Cummings;S P Otto;J Wakeley

  • copia-like retrotransposons are ubiquitous among plants

    Daniel F. Voytas;Michael P. Cummings;Andrzej Konieczny;Frederick M. Ausubel

  • MEGA (Molecular Evolutionary Genetics Analysis)

    Michael P. Cummings

  • A Large-Scale, Higher-Level, Molecular Phylogenetic Study of the Insect Order Lepidoptera (Moths and Butterflies)

    Jerome C. Regier;Charles Mitter;Andreas Zwick;Adam L. Bazinet

  • Comparing bootstrap and posterior probability values in the four-taxon case.

    Michael P. Cummings;Scott A. Handley;Daniel S. Myers;David L. Reed

  • Toward reconstructing the evolution of advanced moths and butterflies (Lepidoptera: Ditrysia): an initial molecular study

    Jerome C. Regier;Andreas Zwick;Michael P. Cummings;Akito Y. Kawahara

  • Genetic loci associated with delayed clearance of Plasmodium falciparum following artemisinin treatment in Southeast Asia

    Shannon Takala-Harrison;Taane G Clark;Christopher G Jacob;Michael P Cummings

  • Phylogeny and Evolution of Lepidoptera.

    Charles Mitter;Donald R. Davis;Michael P. Cummings

  • A GENEALOGICAL APPROACH TO QUANTIFYING LINEAGE DIVERGENCE

    Michael P. Cummings;Maile C. Neel;Kerry L. Shaw;Kerry L. Shaw

  • A Gateway for Phylogenetic Analysis Powered by Grid Computing Featuring GARLI 2.0

    Adam L. Bazinet;Derrick J. Zwickl;Michael P. Cummings

  • Resolving Arthropod Phylogeny: Exploring Phylogenetic Signal within 41 kb of Protein-Coding Nuclear Gene Sequence

    Jerome C. Regier;Jeffrey W. Shultz;Austen R. D. Ganley;April Hussey

  • Extreme Polymorphism in a Vaccine Antigen and Risk of Clinical Malaria: Implications for Vaccine Development

    Shannon L. Takala;Drissa Coulibaly;Mahamadou A. Thera;Adrian H. Batchelor

  • A superfamily of Arabidopsis thaliana retrotransposons.

    A. Konieczny;D. F. Voytas;M. P. Cummings;F. M. Ausubel

  • BEAGLE 3: Improved Performance, Scaling, and Usability for a High-Performance Computing Library for Statistical Phylogenetics.

    Daniel L Ayres;Michael P Cummings;Guy Baele;Aaron E Darling

  • The evolution of plant nuclear genes

    Michael T. Clegg;Michael P. Cummings;Mary L. Durbin

  • BEAST (Bayesian Evolutionary Analysis by Sampling Trees)

    Michael P. Cummings

Frequent Co-Authors

Jerome C. Regier
Jerome C. Regier University of Maryland, College Park
Charles Mitter
Charles Mitter University of Maryland, College Park
Akito Y. Kawahara
Akito Y. Kawahara Florida Museum of Natural History
Christopher V. Plowe
Christopher V. Plowe University of Maryland, Baltimore
Allen Gilbert Collins
Allen Gilbert Collins National Museum of Natural History
Arjen M. Dondorp
Arjen M. Dondorp Mahidol Oxford Tropical Medicine Research Unit
Andrew Rambaut
Andrew Rambaut University of Edinburgh
Frederick M. Ausubel
Frederick M. Ausubel Harvard University
Dominic P. Kwiatkowski
Dominic P. Kwiatkowski University of Oxford
Martín García-Varela
Martín García-Varela National Autonomous University of Mexico

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