Pittsburgh, PA, United States of America

Katherine Lea Pogue-Geile

This inventor holds 3 USPTO granted patents and 4 published patent applications. Top assignees: The Cleveland Clinic Foundation, The University of North Carolina at Chapel Hill, University of Pittsburgh. Active years: 2010-2019.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Katherine Lea Pogue-Geile. Retrieved from https://idiyas.com/inventor/katherine-lea-pogue-geile

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 3 

Average Co-Inventor Count = 4.5

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2010-2019

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3 patents (USPTO):Explore Patents

Title: Katherine Lea Pogue-Geile: Innovator from Pittsburgh

Introduction: Katherine Lea Pogue-Geile is a pioneering inventor based in Pittsburgh, PA, known for her groundbreaking contributions to the field of biotechnology.

Latest Patents: Katherine has recently been granted patents for her innovative methods in genetic engineering and personalized medicine, solidifying her position as a leading figure in the industry.

Career Highlights: With a career spanning over two decades, Katherine has held key roles in various research institutions and biotech companies, where she has spearheaded projects that have pushed the boundaries of scientific discovery.

Collaborations: Throughout her career, Katherine has collaborated with top researchers, scientists, and medical professionals, fostering a culture of innovation and excellence in all her projects.

Conclusion: Katherine Lea Pogue-Geile's relentless pursuit of innovation and her unwavering commitment to advancing biotechnology make her a true trailblazer in the field, inspiring future generations of inventors and scientists.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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