Average Co-Inventor Count = 4.24
ph-index = 7
The patent ph-index is calculated by counting the number of publications for which an author has been cited by other authors at least that same number of times.
Company Filing History:
1. Histogenics Corporation (13 from 21 patents)
2. Leland Stanford Junior University (4 from 5,313 patents)
3. Ocugen, Inc. (2 from 7 patents)
4. The United States Government as Represented by the Department of Veterans Affairs (1 from 897 patents)
5. Claesson, Hans Peter (0 patent)
19 patents:
1. 12344860 - Cell-support matrix having narrowly defined uniformly vertically and non-randomly organized porosity and pore density and a method for preparation thereof
2. 11648102 - Method for use of a double-structured tissue implant for treatment of tissue
3. 10900017 - Cell-support matrix having narrowly defined uniformly vertically and non-randomly organized porosity and pore density and a method for preparation thereof
4. 10842610 - Method for use of a double-structured tissue implant for treatment of tissue defects
5. 9993326 - Method for use of a double-structured tissue implant for treatment of tissue defects
6. 9687590 - Double-structured tissue implant and a method for preparation and use thereof
7. 9421304 - Method for improvement of differentiation of mesenchymal stem cells using a double-structured tissue implant
8. 9393195 - Systems for cartilage repair
9. 9149562 - Method for use of a double-structured tissue implant for treatment of tissue defects
10. 8906686 - Method for preparation of implantable constructs
11. 8685107 - Double-structured tissue implant and a method for preparation and use thereof
12. 8070810 - Method for repair and reconstruction of ruptured ligaments or tendons and for treatment of ligament and tendon injuries
13. 8070827 - Method for use of a double-structured tissue implant for treatment of tissue defects
14. 7892799 - Method for in vivo, ex vivo and in vitro repair and regeneration of cartilage
15. 7835559 - Method and apparatus for quantitative and comparative analysis of image intensities in radiographs