Peter Gee

2.2k total citations · 1 hit paper
27 papers, 1.4k citations indexed

About

Peter Gee is a scholar working on Molecular Biology, Virology and Infectious Diseases. According to data from OpenAlex, Peter Gee has authored 27 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Virology and 4 papers in Infectious Diseases. Recurrent topics in Peter Gee's work include CRISPR and Genetic Engineering (11 papers), Pluripotent Stem Cells Research (8 papers) and HIV Research and Treatment (6 papers). Peter Gee is often cited by papers focused on CRISPR and Genetic Engineering (11 papers), Pluripotent Stem Cells Research (8 papers) and HIV Research and Treatment (6 papers). Peter Gee collaborates with scholars based in Japan, United States and Australia. Peter Gee's co-authors include Akitsu Hotta, Huaigeng Xu, Tzipora Goldkorn, Tommer Ravid, Noriko Sasakawa, Yoshio Koyanagi, Miyuki Ono, Tatsuki Ueda, Fumiyo Kitaoka and Tomoko Takahashi and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Virology.

In The Last Decade

Peter Gee

27 papers receiving 1.4k citations

Hit Papers

Targeted Disruption of HLA Genes via CRISPR-Cas9 Generate... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Peter Gee Japan 18 961 269 230 186 169 27 1.4k
Gioacchin Iannolo Italy 21 938 1.0× 274 1.0× 241 1.0× 100 0.5× 122 0.7× 53 1.7k
Yan Fan United States 21 841 0.9× 316 1.2× 293 1.3× 200 1.1× 135 0.8× 37 1.5k
Matthew D. Gray United States 26 2.0k 2.0× 370 1.4× 336 1.5× 298 1.6× 182 1.1× 43 2.7k
Po-Ying Chan-Hui United States 11 1.3k 1.4× 468 1.7× 291 1.3× 349 1.9× 209 1.2× 15 2.2k
Gilles A. Spoden Germany 21 639 0.7× 304 1.1× 222 1.0× 74 0.4× 435 2.6× 23 1.4k
Paula Bertram United States 19 1.3k 1.4× 672 2.5× 97 0.4× 112 0.6× 280 1.7× 30 2.2k
Irina Y. Tcherepanova United States 20 706 0.7× 621 2.3× 417 1.8× 165 0.9× 81 0.5× 34 1.4k
Charles A. Nicolette United States 24 1.3k 1.3× 871 3.2× 579 2.5× 212 1.1× 103 0.6× 51 2.1k
S. Kaye Spratt United States 18 1.6k 1.7× 144 0.5× 270 1.2× 343 1.8× 122 0.7× 24 2.2k
Nanhong Tang China 16 440 0.5× 199 0.7× 191 0.8× 204 1.1× 126 0.7× 53 955

Countries citing papers authored by Peter Gee

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Peter Gee

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Gee. A scholar is included among the top collaborators of Peter Gee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Peter Gee. Peter Gee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Matsumoto, Tomoko, Takayuki Kondo, Kayoko Tsukita, et al.. (2024). Enrichment of Allelic Editing Outcomes by Prime Editing in Induced Pluripotent Stem Cells. The CRISPR Journal. 7(5). 293–304. 2 indexed citations
2.
Deguchi, Sayaka, Takuya Yamamoto, Peter Gee, et al.. (2024). SARS-CoV-2-induced disruption of a vascular bed in a microphysiological system caused by type-I interferon from bronchial organoids. Lab on a Chip. 24(16). 3863–3879. 5 indexed citations
3.
Deguchi, Sayaka, Rina Hashimoto, Ayaka Sakamoto, et al.. (2023). Elucidation of the liver pathophysiology of COVID-19 patients using liver-on-a-chips. PNAS Nexus. 2(3). pgad029–pgad029. 12 indexed citations
4.
Gee, Peter, et al.. (2022). Preparation of NanoMEDIC Extracellular Vesicles to Deliver CRISPR-Cas9 Ribonucleoproteins for Genomic Exon Skipping. Methods in molecular biology. 2587. 427–453. 3 indexed citations
6.
Lung, Mandy Siu Yu, Huaigeng Xu, Noriko Sasakawa, et al.. (2021). Efficient ssODN-Mediated Targeting by Avoiding Cellular Inhibitory RNAs through Precomplexed CRISPR-Cas9/sgRNA Ribonucleoprotein. Stem Cell Reports. 16(4). 985–996. 34 indexed citations
7.
Yoshimi, Kazuto, Yuya Okuzaki, Peter Gee, et al.. (2019). CRISPR-Cas3 induces broad and unidirectional genome editing in human cells. Nature Communications. 10(1). 5302–5302. 130 indexed citations
8.
Xu, Huaigeng, Bo Wang, Miyuki Ono, et al.. (2019). Targeted Disruption of HLA Genes via CRISPR-Cas9 Generates iPSCs with Enhanced Immune Compatibility. Cell stem cell. 24(4). 566–578.e7. 411 indexed citations breakdown →
9.
Ishida, Kentaro, Huaigeng Xu, Noriko Sasakawa, et al.. (2018). Site-specific randomization of the endogenous genome by a regulatable CRISPR-Cas9 piggyBac system in human cells. Scientific Reports. 8(1). 310–310. 20 indexed citations
10.
Gee, Peter, Mandy Siu Yu Lung, Noriko Sasakawa, et al.. (2018). Efficient mRNA delivery system utilizing chimeric VSVG-L7Ae virus-like particles. Biochemical and Biophysical Research Communications. 505(4). 1097–1102. 26 indexed citations
11.
Ebina, Hirotaka, Peter Gee, & Yoshio Koyanagi. (2015). Perspectives of Genome-Editing Technologies for HIV Therapy. Current HIV Research. 14(1). 2–8. 3 indexed citations
12.
Li, Hongmei Lisa, Peter Gee, Kentaro Ishida, & Akitsu Hotta. (2015). Efficient genomic correction methods in human iPS cells using CRISPR–Cas9 system. Methods. 101. 27–35. 49 indexed citations
13.
Hollenbaugh, Joseph A., Peter Gee, Jonathon L. Baker, et al.. (2013). Host Factor SAMHD1 Restricts DNA Viruses in Non-Dividing Myeloid Cells. PLoS Pathogens. 9(6). e1003481–e1003481. 136 indexed citations
14.
Sato, Kei, Peter Gee, & Yoshio Koyanagi. (2012). Vpu and BST2: Still Not There Yet?. Frontiers in Microbiology. 3. 131–131. 11 indexed citations
15.
Gee, Peter, et al.. (2011). Silent barrage. 407–408. 3 indexed citations
16.
Gee, Peter, Seiji P. Yamamoto, Yuka Kanemura, et al.. (2011). APOBEC1-Mediated Editing and Attenuation of Herpes Simplex Virus 1 DNA Indicate That Neurons Have an Antiviral Role during Herpes Simplex Encephalitis. Journal of Virology. 85(19). 9726–9736. 35 indexed citations
17.
Kobayashi, Tomoko, Hirotaka Ode, Takeshi Yoshida, et al.. (2010). Identification of Amino Acids in the Human Tetherin Transmembrane Domain Responsible for HIV-1 Vpu Interaction and Susceptibility. Journal of Virology. 85(2). 932–945. 70 indexed citations
18.
Gee, Peter, Pong Kian Chua, Klaus Klumpp, et al.. (2008). Essential Role of the N-terminal Domain in the Regulation of RIG-I ATPase Activity. Journal of Biological Chemistry. 283(14). 9488–9496. 53 indexed citations
19.
Ravid, Tommer, et al.. (2004). c-Cbl-mediated Ubiquitinylation Is Required for Epidermal Growth Factor Receptor Exit from the Early Endosomes. Journal of Biological Chemistry. 279(35). 37153–37162. 76 indexed citations
20.
Ravid, Tommer, Colleen Sweeney, Peter Gee, Kermit L. Carraway, & Tzipora Goldkorn. (2002). Epidermal Growth Factor Receptor Activation under Oxidative Stress Fails to Promote c-Cbl Mediated Down-regulation. Journal of Biological Chemistry. 277(34). 31214–31219. 94 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026