Charles M Lieber

USPTO Granted Patents = 67 (Patent Applications = 15)

CIPO Patents = 4

EPO Patents = 9 (Patent Applications = 8)

Average Co-Inventor Count = 3.3

ph-index = 24

Forward Citations = 3,730(Granted Patents)

Forward Citations (Not Self Cited) = 3,185(Dec 10, 2025)

Inventors with similar research interests:

Location History:

Cambridge, MA (US) (2010)
Lexington, MA (US) (1993 - 2023)

Company Filing History:

California Institute of Technology

University of Hawai'i

Massachusetts Institute of Technology

patents

9. 1 out of 1,036

Children's Medical Center Corporation

patents

where one patent can have more than one assignee

Years Active: 1993-2023

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Areas of Expertise:

Nanopore Sensing

Nanoscale Wires

Nanoelectronic Components

Molecular Sensors

Nanosensors

Field-Effect Transistors

Graphene Structures

Electrical Crossbar Memory

Holographic Optical Tweezers

Transition Metal Oxide Nanowires

Branched Nanoscale Wires

Data Storage

67 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 11768174 - Method for nanopore sensing with local electrical potential measurement (2023-09-26),

2. 11644437 - Nanopore sensing by local electrical potential measurement (2023-05-09),

3. 11067534 - Multi-channel nanopore sensing by local electrical potential measurement (2021-07-20),

4. 10436747 - Nanopore sensing by local electrical potential measurement (2019-10-08),

5. 10435817 - Controlled growth of nanoscale wires (2019-10-08),

6. 10369255 - Scaffolds comprising nanoelectronic components for cells, tissues, and other applications (2019-08-06),

7. 10355229 - Methods and systems for scaffolds comprising nanoelectronic components (2019-07-16),

8. 10119955 - High-resolution molecular sensor (2018-11-06),

9. 10049871 - Anisotropic deposition in nanoscale wires (2018-08-14),

10. 9903862 - Nanosensors and related technologies (2018-02-27),

11. 9786850 - Methods and systems for scaffolds comprising nanoelectronic components (2017-10-10),

12. 9702849 - Nanopore sensing by local electrical potential measurement (2017-07-11),

13. 9638717 - Nanoscale sensors for intracellular and other applications (2017-05-02),

14. 9595685 - Nanoscale wires, nanoscale wire FET devices, and nanotube-electronic hybrid devices for sensing and other applications (2017-03-14),

15. 9541522 - Nanoscale field-effect transistors for biomolecular sensors and other applications (2017-01-10),

Title: The Innovative Mind of Charles M. Lieber

Introduction: Charles M. Lieber, a renowned inventor based in Lexington, MA (US), is a pioneering figure in the field of nanoscience and nanotechnology. His groundbreaking work has significantly impacted various industries and has led to numerous patents that have revolutionized the way we perceive technology.

Latest Patents: Charles M. Lieber holds a multitude of patents in the field of nanotechnology, including patents related to nanowire technology, nanoscale devices, and nanoelectronics. His innovative ideas continue to shape the future of technology and inspire new generations of inventors.

Career Highlights: With a distinguished career spanning several decades, Charles M. Lieber has made significant contributions to the scientific community. He is a leading researcher at Harvard University, where he serves as the Joshua and Beth Friedman University Professor. Lieber's work has been recognized with numerous awards and honors, solidifying his reputation as a trailblazer in the field of nanoscience.

Collaborations: Throughout his career, Charles M. Lieber has collaborated with top researchers, scientists, and institutions worldwide. His collaborative efforts have resulted in groundbreaking discoveries and have paved the way for innovative advancements in nanotechnology. Lieber's ability to work across disciplines has led to the development of cutting-edge technologies with far-reaching implications.

Conclusion: In conclusion, Charles M. Lieber's passion for innovation and his relentless pursuit of scientific excellence have established him as a visionary inventor

This text is generated by artificial intelligence and may not be accurate.