Kenneth Cornetta
- Hematology top 0.5%
- Hematopoietic Stem Cell Transplantation 23
- Genetics top 0.5%
- Virus-based gene therapy research 90
- Oncology top 1%
- CAR-T cell therapy research 37
- Genetics top 1%
- Virus-based gene therapy research 90
- Immunology top 2%
- Immunotherapy and Immune Responses 12
-
- CRISPR and Genetic Engineering 47
- RNA Interference and Gene Delivery 31
- Viral Infectious Diseases and Gene Expression in Insects 16
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- Cytomegalovirus and herpesvirus research 10
- Co-authors
- W. French AndersonRichard A. MorganR. Michael BlaeseRobert HromasKenneth W. CulverPaul AebersoldSteven A. RosenbergMichael T. Lotze
- Cited by
- HematologyGeneticsOncology
- Partner nations
- United StatesKenyaFrance
In The Last Decade
Kenneth Cornetta
165 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Hematology 1.3k
- Genetics 3.1k
- Oncology 2.4k
- Genetics 677
- Immunology 1.3k
Countries citing papers authored by Kenneth Cornetta
This map shows the geographic impact of Kenneth Cornetta's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kenneth Cornetta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth Cornetta more than expected).
Fields of papers citing papers by Kenneth Cornetta
This network shows the impact of papers produced by Kenneth Cornetta. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kenneth Cornetta. The network helps show where Kenneth Cornetta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kenneth Cornetta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 20 | |
| 2 | 2023 | 7 | |
| 3 | 2021 | 0 | |
| 4 | 2017 | 0 | |
| 5 | Design and Potential of Non-Integrating Lentiviral Vectors | 2014 | 3 |
| 6 | 2013 | 4 | |
| 7 | 2012 | 81 | |
| 8 | 2012 | 9 | |
| 9 | 2011 | 114 | |
| 10 | 2010 | 35 | |
| 11 | 2008 | 8 | |
| 12 | 2007 | 29 | |
| 13 | 2004 | 10 | |
| 14 | 2000 | 39 | |
| 15 | 1999 | 47 | |
| 16 | 1999 | 2 | |
| 17 | 1995 | 2 | |
| 18 | 1995 | 73 | |
| 19 | 1991 | 28 | |
| 20 | 1990 | 89 |
About Kenneth Cornetta
Kenneth Cornetta is a scholar working on Genetics, Hematology, Oncology, Genetics and Immunology, having authored 171 papers that have together received 7.1k indexed citations. Recurring topics across this work include Virus-based gene therapy research (90 papers), CRISPR and Genetic Engineering (47 papers), CAR-T cell therapy research (37 papers), RNA Interference and Gene Delivery (31 papers), Hematopoietic Stem Cell Transplantation (23 papers), Viral Infectious Diseases and Gene Expression in Insects (16 papers), Immunotherapy and Immune Responses (12 papers) and Cytomegalovirus and herpesvirus research (10 papers). The work is most often cited by research in Hematology (1.3k citations), Genetics (3.1k citations), Oncology (2.4k citations), Genetics (677 citations) and Immunology (1.3k citations). Kenneth Cornetta has collaborated with scholars based in United States, Kenya and France. Frequent co-authors include W. French Anderson, Richard A. Morgan, R. Michael Blaese, Robert Hromas, Kenneth W. Culver, Paul Aebersold, Steven A. Rosenberg, Michael T. Lotze, Lakshmi Sastry and Robert C. Moen. Their work appears in journals such as Human Gene Therapy, Blood, Molecular Therapy, Gene Therapy and Bone Marrow Transplantation.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.