Peter Gee
Impact in
- Virology top 5%
- HIV Research and Treatment
Papers in
- Co-authors
- Akitsu Hotta (10 shared papers)Huaigeng Xu (7 shared papers)Noriko Sasakawa (5 shared papers)Tommer Ravid (3 shared papers)Tzipora Goldkorn (3 shared papers)Miyuki Ono (2 shared papers)Yoshio Koyanagi (6 shared papers)Yoshinori Yoshida (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Journal of Virology (2 papers)Nature Communications (2 papers)Stem Cell Reports (1 paper)Current HIV Research (1 paper)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Peter Gee
29 papers receiving 1.8k citations
Peter Gee's Hit Papers
Peers
Comparison fields: 5 of 104
- Virology 194
- Business and International Management 50
- Aging 40
- Molecular Biology 1.3k
- Immunology 271
Countries citing papers authored by Peter Gee
This map shows the geographic impact of Peter Gee'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 Peter Gee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Gee more than expected).
Fields of papers citing papers by Peter Gee
This network shows the impact of papers produced by Peter Gee. 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 Peter Gee. The network helps show where Peter Gee may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Gee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Targeted Disruption of HLA Genes via CRISPR-Cas9 Generates iPSCs with Enhanced Immune Compatibility Hit paper breakdown → | 2019 | 458 |
| 2 | Extracellular nanovesicles for packaging of CRISPR-Cas9 protein and sgRNA to induce therapeutic exon skipping Hit paper breakdown → | 2020 | 297 |
| 3 | 2019 | 143 | |
| 4 | 2013 | 142 | |
| 5 | 2002 | 98 | |
| 6 | 2004 | 77 | |
| 7 | 2003 | 74 | |
| 8 | 2010 | 71 | |
| 9 | 2008 | 56 | |
| 10 | 2015 | 55 | |
| 11 | 2014 | 54 | |
| 12 | 2013 | 51 | |
| 13 | 2010 | 41 | |
| 14 | 2021 | 39 | |
| 15 | 2011 | 36 | |
| 16 | 2015 | 35 | |
| 17 | 2017 | 30 | |
| 18 | 2018 | 29 | |
| 19 | 2018 | 22 | |
| 20 | 2021 | 19 |
About Peter Gee
Peter Gee is a scholar working on Aging, Virology, Molecular Biology, Infectious Diseases and Immunology, having authored 29 papers that have together received 1.9k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (13 papers), Pluripotent Stem Cells Research (8 papers), HIV Research and Treatment (4 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), RNA Interference and Gene Delivery (3 papers), RNA regulation and disease (3 papers), Herpesvirus Infections and Treatments (3 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Virology (194 citations), Business and International Management (50 citations), Aging (40 citations), Molecular Biology (1.3k citations) and Immunology (271 citations). Peter Gee has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Akitsu Hotta, Huaigeng Xu, Noriko Sasakawa, Tommer Ravid, Tzipora Goldkorn, Miyuki Ono, Yoshio Koyanagi, Yoshinori Yoshida, Shin Kaneko and Tatsuki Ueda. Their work appears in journals such as Journal of Biological Chemistry, Journal of Virology, Nature Communications, Stem Cell Reports and Current HIV Research.
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.