Beau R. Webber

3.5k total citations · 1 hit paper
55 papers, 1.9k citations indexed

About

Beau R. Webber is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Beau R. Webber has authored 55 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 24 papers in Oncology and 13 papers in Immunology. Recurrent topics in Beau R. Webber's work include CRISPR and Genetic Engineering (25 papers), CAR-T cell therapy research (23 papers) and Immune Cell Function and Interaction (12 papers). Beau R. Webber is often cited by papers focused on CRISPR and Genetic Engineering (25 papers), CAR-T cell therapy research (23 papers) and Immune Cell Function and Interaction (12 papers). Beau R. Webber collaborates with scholars based in United States, Germany and Canada. Beau R. Webber's co-authors include Branden S. Moriarity, Walker S. Lahr, Mitchell G. Kluesner, Jakub Tolar, Mark J. Osborn, Amber McElroy, Juan E. Abrahante, John Garbe, Derek Nedveck and Bruce R. Blazar and has published in prestigious journals such as Nature Communications, Blood and The Journal of Immunology.

In The Last Decade

Beau R. Webber

50 papers receiving 1.9k citations

Hit Papers

EditR: A Method to Quantify Base Editing from Sanger Sequ... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beau R. Webber United States 20 1.4k 526 459 296 234 55 1.9k
Brian S. Garrison United States 14 1.3k 1.0× 248 0.5× 403 0.9× 341 1.2× 183 0.8× 20 1.8k
Paula Rı́o Spain 25 1.5k 1.1× 449 0.9× 532 1.2× 320 1.1× 120 0.5× 68 2.0k
Fabienne Cocchiarella Italy 15 977 0.7× 545 1.0× 386 0.8× 329 1.1× 158 0.7× 17 1.6k
Geulah Livshits United States 13 877 0.6× 433 0.8× 186 0.4× 425 1.4× 141 0.6× 18 1.5k
Michael Naso United States 14 1.1k 0.8× 290 0.6× 556 1.2× 313 1.1× 285 1.2× 28 1.8k
Megan Riddle United States 19 739 0.5× 320 0.6× 302 0.7× 361 1.2× 617 2.6× 43 1.7k
Bian Hu China 17 1.1k 0.8× 389 0.7× 360 0.8× 196 0.7× 53 0.2× 30 1.5k
Uimook Choi United States 22 1.1k 0.8× 523 1.0× 644 1.4× 478 1.6× 52 0.2× 44 1.7k
Ivo J. Huijbers Netherlands 24 954 0.7× 595 1.1× 205 0.4× 315 1.1× 162 0.7× 43 1.6k
Andreas Reik United States 20 2.5k 1.9× 706 1.3× 794 1.7× 336 1.1× 55 0.2× 47 3.2k

Countries citing papers authored by Beau R. Webber

Since Specialization
Citations

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

Fields of papers citing papers by Beau R. Webber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Beau R. Webber. 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 Beau R. Webber. The network helps show where Beau R. Webber may publish in the future.

Co-authorship network of co-authors of Beau R. Webber

This figure shows the co-authorship network connecting the top 25 collaborators of Beau R. Webber. A scholar is included among the top collaborators of Beau R. Webber 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 Beau R. Webber. Beau R. Webber 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.
Heltemes-Harris, Lynn, Todd P. Knutson, Yinjie Qiu, et al.. (2025). Leukemia escapes immunity by imposing a type 1 regulatory program on neoantigen-specific CD4+ T cells. Blood. 146(23). 2779–2793.
2.
Kluesner, Mitchell G., Emily J. Pomeroy, Joseph G. Skeate, et al.. (2025). Precision enhancement of CAR-NK cells through non-viral engineering and highly multiplexed base editing. Journal for ImmunoTherapy of Cancer. 13(5). e009560–e009560. 8 indexed citations
4.
Laoharawee, Kanut, et al.. (2024). Engineering memory T cells as a platform for long-term enzyme replacement therapy in lysosomal storage disorders. Molecular Therapy. 32(11). 3865–3878.
5.
Menegatti, Silvia, Sheila López‐Cobo, Sandrine Heurtebise-Chrétien, et al.. (2024). Ablation of FAS confers allogeneic CD3– CAR T cells with resistance to rejection by T cells and natural killer cells. Nature Biomedical Engineering. 8(12). 1651–1664. 7 indexed citations
6.
Sangala, Jules, Philippa R Kennedy, Emily J. Pomeroy, et al.. (2023). Ablation of SYK Kinase from Expanded Primary Human NK Cells via CRISPR/Cas9 Enhances Cytotoxicity and Cytokine Production. The Journal of Immunology. 210(8). 1108–1122. 6 indexed citations
7.
Lahr, Walker S., et al.. (2023). CRISPR-Cas9 base editors and their current role in human therapeutics. Cytotherapy. 25(3). 270–276. 11 indexed citations
8.
Spartz, Ellen J., Walker S. Lahr, Yun You, et al.. (2023). Germline T cell receptor exchange results in physiological T cell development and function. Nature Communications. 14(1). 528–528. 2 indexed citations
9.
Kluesner, Mitchell G., Tomoyuki Koga, Miller Huang, et al.. (2022). Developing Bottom-Up Induced Pluripotent Stem Cell Derived Solid Tumor Models Using Precision Genome Editing Technologies. The CRISPR Journal. 5(4). 517–535. 3 indexed citations
10.
Tabdanov, Erdem D., Alexander X. Cartagena‐Rivera, Emily J. Pomeroy, et al.. (2021). Engineering T cells to enhance 3D migration through structurally and mechanically complex tumor microenvironments. Nature Communications. 12(1). 2815–2815. 90 indexed citations
11.
Kluesner, Mitchell G., Walker S. Lahr, Cara-lin Lonetree, et al.. (2021). CRISPR-Cas9 cytidine and adenosine base editing of splice-sites mediates highly-efficient disruption of proteins in primary and immortalized cells. Nature Communications. 12(1). 2437–2437. 74 indexed citations
12.
Osborn, Mark J., Gregory A. Newby, Amber McElroy, et al.. (2019). Base Editor Correction of COL7A1 in Recessive Dystrophic Epidermolysis Bullosa Patient-Derived Fibroblasts and iPSCs. Journal of Investigative Dermatology. 140(2). 338–347.e5. 75 indexed citations
13.
Pomeroy, Emily J., John Hunzeker, Mitchell G. Kluesner, et al.. (2019). A Genetically Engineered Primary Human Natural Killer Cell Platform for Cancer Immunotherapy. Molecular Therapy. 28(1). 52–63. 139 indexed citations
14.
Johnson, Matthew J., Kanut Laoharawee, Walker S. Lahr, Beau R. Webber, & Branden S. Moriarity. (2018). Engineering of Primary Human B cells with CRISPR/Cas9 Targeted Nuclease. Scientific Reports. 8(1). 12144–12144. 62 indexed citations
15.
Matson, Jacob P., ‎Raluca Dumitru, Philip Coryell, et al.. (2017). Rapid DNA replication origin licensing protects stem cell pluripotency. eLife. 6. 64 indexed citations
16.
Webber, Beau R., Ron McElmurry, Cindy Eide, et al.. (2017). Rapid generation of Col7a1−/− mouse model of recessive dystrophic epidermolysis bullosa and partial rescue via immunosuppressive dermal mesenchymal stem cells. Laboratory Investigation. 97(10). 1218–1224. 29 indexed citations
17.
Osborn, Mark J., Cara-lin Lonetree, Beau R. Webber, et al.. (2016). CRISPR/Cas9 Targeted Gene Editing and Cellular Engineering in Fanconi Anemia. Stem Cells and Development. 25(20). 1591–1603. 26 indexed citations
18.
Webber, Beau R. & Jakub Tolar. (2015). From Marrow to Matrix: Novel Gene and Cell Therapies for Epidermolysis Bullosa. Molecular Therapy. 23(6). 987–992. 9 indexed citations
19.
Osborn, Mark J., Richard Gabriel, Beau R. Webber, et al.. (2014). Fanconi Anemia Gene Editing by the CRISPR/Cas9 System. Human Gene Therapy. 26(2). 114–126. 91 indexed citations
20.
Webber, Beau R., Michelina Iacovino, Si Ho Choi, et al.. (2013). DNA methylation of Runx1 regulatory regions correlates with transition from primitive to definitive hematopoietic potential in vitro and in vivo. Blood. 122(17). 2978–2986. 16 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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