Jennifer L. Gori

803 total citations
23 papers, 625 citations indexed

About

Jennifer L. Gori is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Jennifer L. Gori has authored 23 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Genetics and 6 papers in Oncology. Recurrent topics in Jennifer L. Gori's work include Virus-based gene therapy research (11 papers), CRISPR and Genetic Engineering (8 papers) and Pluripotent Stem Cells Research (7 papers). Jennifer L. Gori is often cited by papers focused on Virus-based gene therapy research (11 papers), CRISPR and Genetic Engineering (8 papers) and Pluripotent Stem Cells Research (7 papers). Jennifer L. Gori collaborates with scholars based in United States, France and India. Jennifer L. Gori's co-authors include Patrick D. Hsu, G. Grant Welstead, Morgan L. Maeder, Jennifer E. Adair, David Bumcrot, Shen Shen, Hans‐Peter Kiem, Shahin Rafii, Michael Ginsberg and Michael G. Poulos and has published in prestigious journals such as Journal of Clinical Investigation, Blood and Gastroenterology.

In The Last Decade

Jennifer L. Gori

23 papers receiving 610 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jennifer L. Gori United States 13 372 133 109 91 78 23 625
Zhihong Yang United States 11 566 1.5× 188 1.4× 133 1.2× 125 1.4× 134 1.7× 22 1.2k
Toshinobu Nishimura Japan 14 433 1.2× 125 0.9× 73 0.7× 143 1.6× 210 2.7× 27 899
Tim Coorens United Kingdom 17 550 1.5× 210 1.6× 48 0.4× 122 1.3× 12 0.2× 31 953
Shannon Burke United Kingdom 11 379 1.0× 95 0.7× 101 0.9× 199 2.2× 51 0.7× 20 1.1k
D E Rooney United Kingdom 10 245 0.7× 291 2.2× 84 0.8× 37 0.4× 24 0.3× 14 631
Yosuf Yassin United States 9 574 1.5× 140 1.1× 98 0.9× 175 1.9× 219 2.8× 11 914
Edward Quinlan United States 12 331 0.9× 57 0.4× 29 0.3× 54 0.6× 45 0.6× 17 1.1k
Jan Rydnert Sweden 8 424 1.1× 173 1.3× 53 0.5× 81 0.9× 13 0.2× 12 735
Lillian Reich United States 10 112 0.3× 46 0.3× 102 0.9× 111 1.2× 54 0.7× 18 694
Saeed Reza Ghaffari Iran 12 405 1.1× 168 1.3× 81 0.7× 64 0.7× 33 0.4× 33 694

Countries citing papers authored by Jennifer L. Gori

Since Specialization
Citations

This map shows the geographic impact of Jennifer L. Gori'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 Jennifer L. Gori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jennifer L. Gori more than expected).

Fields of papers citing papers by Jennifer L. Gori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer L. Gori. 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 Jennifer L. Gori. The network helps show where Jennifer L. Gori may publish in the future.

Co-authorship network of co-authors of Jennifer L. Gori

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer L. Gori. A scholar is included among the top collaborators of Jennifer L. Gori 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 Jennifer L. Gori. Jennifer L. Gori 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.
Heath, Jack, Kanut Laoharawee, David P. Waterman, et al.. (2024). Prime Editing Enables Precise and Efficient Single Amino Acid Substitutions to Shield CD34+ Hematopoietic Stem Cells from Anti-CD117 Antibody-Based Conditioning. Blood. 144(Supplement 1). 514–514. 1 indexed citations
2.
3.
Pomeroy, Emily J., Andrew V. Anzalone, Kanut Laoharawee, et al.. (2023). Multiplex Prime Editing and PASSIGE TM for Non-Viral Generation of an Allogeneic CAR-T Cell Product. Blood. 142(Supplement 1). 4803–4803. 7 indexed citations
4.
Desouza, Ashwin, Vimal Kumar Paliwal, Diwakar Pandey, et al.. (2020). Novel use of the Bakri balloon to minimize empty pelvis syndrome following laparoscopic total pelvic exenteration. Colorectal Disease. 22(12). 2322–2325. 13 indexed citations
5.
Heath, Jack, Carrie M. Margulies, Ramya Viswanathan, et al.. (2017). Expanding CRISPR Genome Editing Strategies in Hematopoietic Stem and Progenitor Cells for the Treatment of Hematologic Diseases. Blood. 130. 4619–4619. 1 indexed citations
6.
Gori, Jennifer L., Jason M. Butler, Balvir Kunar, et al.. (2016). Endothelial Cells Promote Expansion of Long-Term Engrafting Marrow Hematopoietic Stem and Progenitor Cells in Primates. Stem Cells Translational Medicine. 6(3). 864–876. 25 indexed citations
7.
Gori, Jennifer L., Jason M. Butler, Michael G. Poulos, et al.. (2015). Vascular niche promotes hematopoietic multipotent progenitor formation from pluripotent stem cells. Journal of Clinical Investigation. 125(3). 1243–1254. 89 indexed citations
8.
Gori, Jennifer L., Patrick D. Hsu, Morgan L. Maeder, et al.. (2015). Delivery and Specificity of CRISPR/Cas9 Genome Editing Technologies for Human Gene Therapy. Human Gene Therapy. 26(7). 443–451. 146 indexed citations
9.
Rafii, Shahin, et al.. (2015). Vascular Niche-Derived Angiocrine Factors Specify and Maintain Hematopoietic Stem Cells. Blood. 126(23). SCI–25. 1 indexed citations
10.
Adair, Jennifer E., Sandra K. Johnston, Maciej M. Mrugała, et al.. (2014). Gene therapy enhances chemotherapy tolerance and efficacy in glioblastoma patients. Journal of Clinical Investigation. 124(9). 4082–4092. 75 indexed citations
11.
Sourisseau, Marion, Orit Goldman, Wenqian He, et al.. (2013). Hepatic Cells Derived From Induced Pluripotent Stem Cells of Pigtail Macaques Support Hepatitis C Virus Infection. Gastroenterology. 145(5). 966–969.e7. 34 indexed citations
12.
Gori, Jennifer L., et al.. (2013). In vivo protection of activated Tyr22‐dihydrofolate reductase gene‐modified canine T lymphocytes from methotrexate. The Journal of Gene Medicine. 15(6-7). 233–241. 4 indexed citations
13.
Gori, Jennifer L., et al.. (2012). In vivo selection of autologous MGMT gene-modified cells following reduced-intensity conditioning with BCNU and temozolomide in the dog model. Cancer Gene Therapy. 19(8). 523–529. 15 indexed citations
14.
15.
Watts, Korashon L., et al.. (2011). Safeguarding Nonhuman Primate iPS Cells With Suicide Genes. Molecular Therapy. 19(9). 1667–1675. 43 indexed citations
16.
Gori, Jennifer L., R. Scott McIvor, & Dan S. Kaufman. (2010). Methotrexate supports in vivo selection of human embryonic stem cell derived-hematopoietic cells expressing dihydrofolate reductase. PubMed. 1(6). 434–436. 2 indexed citations
17.
Gori, Jennifer L., Xu Tian, Roland Günther, et al.. (2009). In vivo selection of human embryonic stem cell-derived cells expressing methotrexate-resistant dihydrofolate reductase. Gene Therapy. 17(2). 238–249. 7 indexed citations
18.
Gori, Jennifer L., et al.. (2007). Protection of Mice from Methotrexate Toxicity by ex Vivo Transduction Using Lentivirus Vectors Expressing Drug-Resistant Dihydrofolate Reductase. Journal of Pharmacology and Experimental Therapeutics. 322(3). 989–997. 15 indexed citations
19.
20.
Gori, Jennifer L., et al.. (2005). Intraperitoneal hyperthermic chemotherapy in ovarian cancer. International Journal of Gynecological Cancer. 15(2). 233–239. 64 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.

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