Cornell Allen

891 total citations
22 papers, 693 citations indexed

About

Cornell Allen is a scholar working on Molecular Biology, Surgery and Immunology. According to data from OpenAlex, Cornell Allen has authored 22 papers receiving a total of 693 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Surgery and 7 papers in Immunology. Recurrent topics in Cornell Allen's work include CAR-T cell therapy research (6 papers), Helicobacter pylori-related gastroenterology studies (6 papers) and CRISPR and Genetic Engineering (5 papers). Cornell Allen is often cited by papers focused on CAR-T cell therapy research (6 papers), Helicobacter pylori-related gastroenterology studies (6 papers) and CRISPR and Genetic Engineering (5 papers). Cornell Allen collaborates with scholars based in United States and Japan. Cornell Allen's co-authors include Madhusudan V. Peshwa, Rama Shivakumar, Linhong Li, Joseph C. Fratantoni, Angelia Viley, Duane T. Smoot, Sergey Dzekunov, Harry L. Malech, Suk See De Ravin and Hassan Ashktorab and has published in prestigious journals such as Blood, Gastroenterology and Science Translational Medicine.

In The Last Decade

Cornell Allen

21 papers receiving 672 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cornell Allen United States 13 378 274 257 218 104 22 693
Dobrin Draganov United States 10 243 0.6× 187 0.7× 238 0.9× 71 0.3× 55 0.5× 16 569
Estela Noguera-Ortega United States 11 210 0.6× 400 1.5× 261 1.0× 80 0.4× 82 0.8× 17 647
Amy Cuthbert United States 7 185 0.5× 109 0.4× 318 1.2× 149 0.7× 89 0.9× 10 613
Nikolas T. Martin Canada 11 238 0.6× 429 1.6× 431 1.7× 397 1.8× 142 1.4× 13 909
So Jung Kong South Korea 10 236 0.6× 324 1.2× 434 1.7× 133 0.6× 32 0.3× 16 681
Cheryl A. Carlson United States 16 376 1.0× 291 1.1× 72 0.3× 325 1.5× 61 0.6× 23 710
Manlio Fusciello Finland 15 263 0.7× 264 1.0× 236 0.9× 183 0.8× 27 0.3× 25 564
David O. Holtz United States 10 235 0.6× 222 0.8× 261 1.0× 57 0.3× 94 0.9× 20 681
Jorge Schettini United States 13 299 0.8× 228 0.8× 340 1.3× 95 0.4× 41 0.4× 14 686

Countries citing papers authored by Cornell Allen

Since Specialization
Citations

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

Fields of papers citing papers by Cornell Allen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cornell Allen. 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 Cornell Allen. The network helps show where Cornell Allen may publish in the future.

Co-authorship network of co-authors of Cornell Allen

This figure shows the co-authorship network connecting the top 25 collaborators of Cornell Allen. A scholar is included among the top collaborators of Cornell Allen 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 Cornell Allen. Cornell Allen 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.
Uchida, Naoya, Linhong Li, Claire Drysdale, et al.. (2021). Preclinical evaluation for engraftment of CD34+ cells gene-edited at the sickle cell disease locus in xenograft mouse and non-human primate models. Cell Reports Medicine. 2(4). 100247–100247. 17 indexed citations
2.
3.
Uchida, Naoya, Linhong Li, Jackson Gamer, et al.. (2019). Preclinical Evaluation for Engraftment of Gene-Edited CD34+ Cells with a Sickle Cell Disease Mutation in a Rhesus Transplantation Model. Blood. 134(Supplement_1). 609–609. 2 indexed citations
4.
Hung, Chien‐Fu, Linhong Li, Ying Ma, et al.. (2018). Development of Anti-Human Mesothelin-Targeted Chimeric Antigen Receptor Messenger RNA–Transfected Peripheral Blood Lymphocytes for Ovarian Cancer Therapy. Human Gene Therapy. 29(5). 614–625. 68 indexed citations
5.
6.
Allen, Cornell, et al.. (2014). CGMP-compliant, clinical scale, non-viral platform for efficient gene editing using CRISPR/Cas9. Cytotherapy. 16(4). S37–S37. 10 indexed citations
7.
Li, Linhong, Cornell Allen, Rama Shivakumar, & Madhusudan V. Peshwa. (2012). Large Volume Flow Electroporation of mRNA: Clinical Scale Process. Methods in molecular biology. 969. 127–138. 21 indexed citations
8.
Witting, Scott R., Aparna Jasti, Cornell Allen, et al.. (2011). Efficient Large Volume Lentiviral Vector Production Using Flow Electroporation. Human Gene Therapy. 23(2). 243–249. 26 indexed citations
9.
Li, Lin, Cornell Allen, Rama Shivakumar, et al.. (2009). Expression of chimeric antigen receptors in natural killer cells with a regulatory-compliant non-viral method. Cancer Gene Therapy. 17(3). 147–154. 118 indexed citations
10.
Liu, Linda N., Rama Shivakumar, Cornell Allen, & Joseph C. Fratantoni. (2008). Delivery of Whole Tumor Lysate into Dendritic Cells for Cancer Vaccination. Methods in molecular biology. 423. 139–153. 17 indexed citations
11.
Weiss, Jonathan M., et al.. (2005). Efficient Responses in a Murine Renal Tumor Model by Electroloading Dendritic Cells With Whole-Tumor Lysate. Journal of Immunotherapy. 28(6). 542–550. 12 indexed citations
12.
Biagi, E., Cornell Allen, Rama Shivakumar, et al.. (2005). Rapid and efficient nonviral gene delivery of CD154 to primary chronic lymphocytic leukemia cells. Cancer Gene Therapy. 13(2). 215–224. 18 indexed citations
13.
Johnson, Keith, K-W Peng, Cornell Allen, Stephen J. Russell, & Evanthia Galanis. (2003). Targeting the cytotoxicity of fusogenic membrane glycoproteins in gliomas through protease–substrate interaction. Gene Therapy. 10(9). 725–732. 12 indexed citations
14.
Ashktorab, Hassan, Amel Ahmed, Xin Wei Wang, et al.. (2003). p53 and p14 Increase Sensitivity of Gastric Cells to H. Pylori-Induced Apoptosis. Digestive Diseases and Sciences. 48(7). 1284–1291. 12 indexed citations
15.
Li, Linhong, Rama Shivakumar, Cornell Allen, et al.. (2002). Highly Efficient, Large Volume Flow Electroporation. Technology in Cancer Research & Treatment. 1(5). 341–349. 50 indexed citations
16.
Ashktorab, Hassan, et al.. (2001). Helicobacter pylori induces ROS and ERK activity in gastric epithelial cells with and without p53. Gastroenterology. 120(5). A658–A658. 1 indexed citations
17.
Ahmed, Amel, Duane T. Smoot, Curla S. Walters, et al.. (2000). Helicobacter pylori inhibits gastric cell cycle progression. Microbes and Infection. 2(10). 1159–1169. 44 indexed citations
18.
Smoot, Duane T., Cornell Allen, Milton R. Brown, et al.. (2000). Human gastric epithelial cell lines derived from primary cultures of normal gastric epithelial cells. Gastroenterology. 118(4). A540–A541. 6 indexed citations
19.
Smoot, Duane T., et al.. (2000). A method for estabilishing primary cultures of human gastric epithelial cells. Methods in Cell Science. 22(2-3). 133–136. 29 indexed citations
20.
Smoot, Duane T., et al.. (1999). Effects of Helicobacter Pylori on Proliferation of Gastric Epithelial Cells in Vitro. The American Journal of Gastroenterology. 94(6). 1508–1511. 24 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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