Gan-Yuan Zhong

USPTO Granted Patents = 24 (Patent Applications = 3)

CIPO Patents = 1 (Patent Applications = 2)

EPO Patents = 2

Average Co-Inventor Count = 10.2

ph-index = 5

Forward Citations = 106(Granted Patents)

Company Filing History:

24 out of 6,583

Pioneer Hi-bred International, Inc.

patents

22 out of 16,338

E.i. Dupont De Nemours and Company

where one patent can have more than one assignee

Years Active: 2002-2021

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24 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 11053544 - Corn event DAS-59122-7 and methods for detection thereof (2021-07-06),

2. 9879321 - Corn event DAS-59122-7 and methods for detection thereof (2018-01-30),

3. 9137957 - Producing maize plants having a high oil phenotype using a marker locus genetically linked with a QTL6 region (2015-09-22),

4. 8952223 - Corn event DAS-59122-7 and methods for detection thereof (2015-02-10),

5. 8748576 - Compositions and polyeptides related to type 1 diacylgycerol O-acyltransferase (DGAT) (2014-06-10),

6. 8592653 - Corn event DAS-59122-7 and methods for detection thereof (2013-11-26),

7. 8319010 - Methods of producing maize plants having a high oil phenotype by detecting a marker locus genetically linked with a QTL6 region (2012-11-27),

8. RE43373 - Corn event DAS-59122-7 and methods for detection thereof (2012-05-07),

9. 8084208 - Method of identifying maize plants having increased oil content using quantitative trait locus 6 (QTL6) (2011-12-27),

10. 7981677 - Identifying a high oil phenotype in maize by detecting a marker locus genetically linked with a QTL6 region (2011-07-19),

11. 7956246 - Corn event DAS-59122-7 and methods for detection thereof (2011-06-07),

12. 7932033 - Corn event DAS-59122-7 and methods for detection thereof (2011-04-26),

13. 7928296 - Maize event DP-098140-6 and compositions and methods for the identification and/or detection thereof (2011-04-19),

14. 7897342 - Corn event DAS-59122-7 and methods for detection thereof (2011-03-01),

15. 7888495 - Corn event DAS-59122-7 and methods for detection thereof (2011-02-15),

Title: Gan-Yuan Zhong: A Pioneer in Transgenic Insect Resistant Maize Research

Introduction

Gan-Yuan Zhong is a prominent inventor located in Urbandale, Iowa, USA. With an impressive portfolio of 24 patents, he has made significant contributions to the field of agricultural biotechnology, particularly in the development of transgenic plants.

Latest Patents

Among his notable patents is the latest innovation titled "Corn event DAS-59122-7 and methods for detection thereof." This invention focuses on DNA compositions that relate to transgenic insect-resistant maize plants. It provides assays for detecting the presence of the maize DAS-59122-7 event based on the DNA sequence of the recombinant construct inserted into the maize genome, along with the flanking DNA sequences. Additionally, it includes kits and conditions useful for conducting these assays, showcasing a robust approach to enhancing agricultural resilience and productivity.

Career Highlights

Gan-Yuan Zhong has had a fruitful career, working with leading companies in the agricultural sector. Noteworthy among these are Pioneer Hi-Bred International, Inc. and E.I. DuPont De Nemours and Company. His work within these organizations has allowed him to focus on innovative solutions that address challenges within the agriculture industry.

Collaborations

Throughout his career, Gan-Yuan Zhong has collaborated with esteemed colleagues such as Jimei Wang and James Wayne Bing. These collaborations reflect a productive synergy that has contributed to his successful research and inventions in the realm of transgenic plant development.

Conclusion

Gan-Yuan Zhong stands out as a vital figure in innovations pertaining to transgenic insect-resistant maize, with a significant body of patents that reflect his expertise and dedication to agricultural advancements. His contributions not only enhance food security but also provide valuable tools for researchers and farmers alike in the ever-evolving landscape of agriculture.

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