World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
7693
World Ranking
9228
National Ranking
3929

Overview

Michael J. Paul is affiliated with the University of Colorado Boulder in the United States. Their research primarily spans the field of Biochemistry, Genetics and Molecular Biology with a focus on several subfields including Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Genetics, and Oncology.

Their recent publications cover a range of topics and include the following papers:

  • You Are What You Tweet: Analyzing Twitter for Public Health, 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • CryoEM and AI reveal a structure of SARS-CoV-2 Nsp2, a multifunctional protein involved in key host processes, 2021, bioRxiv (Cold Spring Harbor Laboratory)
  • Ligand bias in receptor tyrosine kinase signaling, 2020, Journal of Biological Chemistry
  • Quantifying the strength of heterointeractions among receptor tyrosine kinases from different subfamilies: Implications for cell signaling, 2020, Journal of Biological Chemistry
  • Probing Membrane Protein Association Using Concentration-Dependent Number and Brightness, 2020, Angewandte Chemie International Edition

Their frequent publication venues include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of Biological Chemistry
  • Nature Communications
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Angewandte Chemie International Edition

Coauthors who have collaborated often with Michael J. Paul are:

  • Natalia Jura
  • Kalina Hristova
  • Hayarpi Torosyan
  • Megan Lo
  • Kliment A. Verba

The main topics covered in their research consist of:

  • Axon Guidance and Neuronal Signaling
  • Receptor Mechanisms and Signaling
  • HER2/EGFR in Cancer Research
  • Lipid Membrane Structure and Behavior
  • Hedgehog Signaling Pathway Studies
  • RNA and protein synthesis mechanisms
  • Protein Kinase Regulation and GTPase Signaling

Best Publications

  • You Are What You Tweet: Analyzing Twitter for Public Health

    Michael J. Paul;Mark Dredze

  • National and local influenza surveillance through Twitter: an analysis of the 2012-2013 influenza epidemic

    David A. Broniatowski;Michael J. Paul;Mark Dredze

  • Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance.

    Mauricio Santillana;André T. Nguyen;Mark Dredze;Michael J. Paul

  • Separating Fact from Fear: Tracking Flu Infections on Twitter

    Alex Lamb;Michael J. Paul;Mark Dredze

  • Discovering health topics in social media using topic models.

    Michael J. Paul;Mark Dredze

  • Twitter improves influenza forecasting.

    Michael J. Paul;Mark Dredze;David Broniatowski

  • Carmen: A Twitter Geolocation System with Applications to Public Health

    Mark Dredze;Michael J. Paul;Shane Bergsma;Hieu Tran

  • Enhancing disease surveillance with novel data streams: challenges and opportunities

    Benjamin M. Althouse;Samuel V. Scarpino;Lauren Ancel Meyers;Lauren Ancel Meyers;John W. Ayers

  • Overview of the IWSLT 2010 evaluation campaign.

    Michael Paul;Marcello Federico;Sebastian Stüker

  • Summarizing Contrastive Viewpoints in Opinionated Text

    Michael Paul;ChengXiang Zhai;Roxana Girju

  • A two-dimensional topic-aspect model for discovering multi-faceted topics

    Michael Paul;Roxana Girju

  • Social media mining for public health monitoring and surveillance

    Michael J. Paul;Abeed Sarker;John S. Brownstein;Azadeh Nikfarjam

  • A large-scale quantitative analysis of latent factors and sentiment in online doctor reviews

    Byron C Wallace;Michael J Paul;Urmimala Sarkar;Thomas A Trikalinos

  • Social media as a sensor of air quality and public response in China.

    Shiliang Wang;Michael J Paul;Mark Dredze

  • Cross-Cultural Analysis of Blogs and Forums with Mixed-Collection Topic Models

    Michael Paul;Roxana Girju

  • Identifying and Categorizing Disaster-Related Tweets.

    Kevin Stowe;Michael J. Paul;Martha Palmer;Leysia Palen

  • Social Monitoring for Public Health

    Michael J. Paul;Mark Dredze;Gary Marchionini

  • Hierarchical Bayesian Models for Latent Attribute Detection in Social Media.

    Delip Rao;Michael J. Paul;Clayton Fink;David Yarowsky

  • Overview of the IWSLT04 Evaluation Campaign

    Yasuhiro Akiba;Marcello Federico;Noriko Kando;Hiromi Nakaiwa

  • Overview of the Fourth Social Media Mining for Health (SMM4H) Shared Tasks at ACL 2019

    Davy Weissenbacher;Abeed Sarker;Arjun Magge;Ashlynn Daughton

Frequent Co-Authors

Mark Dredze
Mark Dredze Johns Hopkins University
Eiichiro Sumita
Eiichiro Sumita National Institute of Information and Communications Technology
Jordan Boyd-Graber
Jordan Boyd-Graber University of Maryland, College Park
Byron C. Wallace
Byron C. Wallace Northeastern University
Satoshi Nakamura
Satoshi Nakamura Nara Institute of Science and Technology
Marcello Federico
Marcello Federico Amazon (United States)
John W. Peabody
John W. Peabody University of California, San Francisco
Ryen W. White
Ryen W. White Microsoft (United States)
Eric Horvitz
Eric Horvitz Microsoft (United States)
Luisa Bentivogli
Luisa Bentivogli Fondazione Bruno Kessler

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