World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
15871
World Ranking
5492
National Ranking
2507

Research.com Recognitions

  • 2018 - ACM Fellow For contributions to methods and tools that enable users to render data into actionable insights
  • 2011 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Katy Börner is affiliated with Indiana University in the United States. Their research encompasses the broader field of Biochemistry, Genetics, and Molecular Biology, with a particular focus on several specialized subfields. These subfields include Molecular Biology, Computer Vision and Pattern Recognition, Artificial Intelligence, Biophysics, and Information Systems and Management.

The research topics covered in Börner's work reflect a diverse set of interests centered on biological and computational methods. Major topics include Single-cell and Spatial Transcriptomics, Cell Image Analysis Techniques, Scientific Computing and Data Management, Biomedical Text Mining and Ontologies, AI in Cancer Detection, Cancer Genomics and Diagnostics, and Data Visualization and Analytics.

Börner has authored multiple papers, with recent notable publications including:

  • "Anatomical structures, cell types and biomarkers of the Human Reference Atlas," 2021, Nature Cell Biology
  • "NIH SenNet Consortium to map senescent cells throughout the human lifespan to understand physiological health," 2022, Nature Aging
  • "Viv: multiscale visualization of high-resolution multiplexed bioimaging data on the web," 2022, Nature Methods
  • "A user-friendly tool for cloud-based whole slide image segmentation with examples from renal histopathology," 2022, Communications Medicine
  • "Cadherin-11, Sparc-related modular calcium binding protein-2, and Pigment epithelium-derived factor are promising non-invasive biomarkers of kidney fibrosis," 2021, Kidney International

Frequent co-authors include Andreas Bueckle, Ellen M. Quardokus, Bruce W. Herr, Yashvardhan Jain, and Griffin M. Weber, each having collaborated on multiple projects with Börner.

Börner's contributions have been published across various venues, with consistent outputs in:

  • Zenodo (CERN European Organization for Nuclear Research)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • Nature Methods
  • PLoS ONE

The scientist has received recognition including the ACM Fellow award in 2018 for contributions to methods and tools that enable users to render data into actionable insights. Additionally, Börner was named a Fellow of the American Association for the Advancement of Science (AAAS) in 2011.

Best Publications

  • Visualizing knowledge domains

    Katy Börner;Chaomei Chen;Kevin W. Boyack

  • Science of science

    Santo Fortunato;Carl T. Bergstrom;Katy Börner;James A. Evans

  • Mapping the backbone of science

    Kevin W. Boyack;Richard Klavans;Katy Börner

  • Approaches to understanding and measuring interdisciplinary scientific research (IDR): A review of the literature

    Caroline S. Wagner;J. David Roessner;Kamau Bobb;Julie Thompson Klein

  • Mapping the Human Body at Cellular Resolution -- The NIH Common Fund Human BioMolecular Atlas Program

    Michael P Snyder;Shin Lin;Amanda Posgai;Mark Atkinson

  • Mapping knowledge domains

    Richard M. Shiffrin;Katy Börner

  • Network science

    Katy Börner;Soma Sanyal;Alessandro Vespignani

  • A Multi-Level Systems Perspective for the Science of Team Science

    Katy Börner;Noshir Contractor;Holly J. Falk-Krzesinski;Stephen M. Fiore

  • The simultaneous evolution of author and paper networks.

    Katy Börner;Jeegar T. Maru;Robert L. Goldstone

  • Mapping topics and topic bursts in PNAS.

    Ketan K. Mane;Katy Börner

  • Clustering More than Two Million Biomedical Publications: Comparing the Accuracies of Nine Text-Based Similarity Approaches

    Kevin W. Boyack;David Newman;David Newman;Russell J. Duhon;Richard Klavans

  • Data visualization literacy: Definitions, conceptual frameworks, exercises, and assessments

    Katy Börner;Andreas Bueckle;Michael Ginda

  • Studying the emerging global brain: Analyzing and visualizing the impact of co-authorship teams

    Katy Börner;Luca Dall'Asta;Weimao Ke;Alessandro Vespignani

  • Design and update of a classification system: the UCSD map of science.

    Katy Börner;Katy Börner;Richard Klavans;Michael Patek;Angela M. Zoss

  • Analysis of Network Clustering Algorithms and Cluster Quality Metrics at Scale.

    Scott Emmons;Stephen G. Kobourov;Mike Gallant;Katy Börner

  • Analyzing and visualizing the semantic coverage of Wikipedia and its authors

    Todd Holloway;Miran Bozicevic;Katy Börner

  • Investigating aspects of data visualization literacy using 20 information visualizations and 273 science museum visitors

    Katy Börner;Adam Maltese;Russell Nelson Balliet;Joe Heimlich

  • The human body at cellular resolution: the NIH Human Biomolecular Atlas Program

    Michael P. Snyder;Shin Lin

  • Long-Distance Interdisciplinarity Leads to Higher Scientific Impact

    Vincent Larivière;Stefanie Haustein;Katy Börner

  • Mapping the structure and evolution of chemistry research

    Kevin W. Boyack;Katy Börner;Richard Klavans

  • Indicator-assisted evaluation and funding of research: visualizing the influence of grants on the number and citation counts of research papers

    Kevin W. Boyack;Katy Börner

Frequent Co-Authors

Chaomei Chen
Chaomei Chen Drexel University
Kevin W. Boyack
Kevin W. Boyack SciTech Strategies
Ying Ding
Ying Ding The University of Texas at Austin
Alessandro Vespignani
Alessandro Vespignani Northeastern University
Vincent Larivière
Vincent Larivière University of Montreal
Stephen G. Kobourov
Stephen G. Kobourov University of Arizona
Li Shen
Li Shen University of Pennsylvania
Chris Reed
Chris Reed University of Dundee
Johan Bollen
Johan Bollen Indiana University
Brian Uzzi
Brian Uzzi Northwestern University

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