Jason M. Gehrke

3.4k total citations · 3 hit papers
9 papers, 1.0k citations indexed

About

Jason M. Gehrke is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Jason M. Gehrke has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Oncology. Recurrent topics in Jason M. Gehrke's work include CRISPR and Genetic Engineering (7 papers), Virus-based gene therapy research (4 papers) and CAR-T cell therapy research (3 papers). Jason M. Gehrke is often cited by papers focused on CRISPR and Genetic Engineering (7 papers), Virus-based gene therapy research (4 papers) and CAR-T cell therapy research (3 papers). Jason M. Gehrke collaborates with scholars based in United States, China and United Kingdom. Jason M. Gehrke's co-authors include Daniel E. Bauer, Jing Zeng, Yuxuan Wu, Luca Pinello, J. Keith Joung, Kendell Clement, Lauren Young, Nicole M. Gaudelli, Dieter K. Lam and Seung‐Joo Lee and has published in prestigious journals such as Nature Medicine, Genes & Development and SHILAP Revista de lepidopterología.

In The Last Decade

Jason M. Gehrke

9 papers receiving 1.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Directed evolution of adenine base editors with increased activity and therapeutic application

2020 341 citations Nicole M. Gaudelli, Dieter K. Lam et al. Nature Biotechnology profile →
An APOBEC3A-Cas9 base editor with minimized bystander and off-target activities

2018 331 citations Jason M. Gehrke, Kendell Clement et al. Nature Biotechnology profile →
Improved cytosine base editors generated from TadA variants

2023 79 citations Dieter K. Lam, Patrícia R. Feliciano et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jason M. Gehrke United States	6	973	320	99	98	96	9	1.0k
Kelcee A. Everette United States	5	736 0.8×	231 0.7×	44 0.4×	91 0.9×	42 0.4×	7	789
Samuel B. Hayward United States	8	897 0.9×	398 1.2×	180 1.8×	56 0.6×	63 0.7×	9	947
Jose Malagon-Lopez United States	4	1.0k 1.1×	246 0.8×	70 0.7×	107 1.1×	42 0.4×	5	1.1k
Andrew Kennedy United States	6	962 1.0×	238 0.7×	130 1.3×	29 0.3×	50 0.5×	8	1.0k
Christine Kaeppel Germany	8	724 0.7×	483 1.5×	135 1.4×	34 0.3×	54 0.6×	8	863
Beeke Wienert Australia	14	1.0k 1.1×	250 0.8×	63 0.6×	57 0.6×	40 0.4×	16	1.2k
Meirui An United States	5	824 0.8×	255 0.8×	42 0.4×	88 0.9×	37 0.4×	6	883
Elliot O. Eton United States	4	659 0.7×	189 0.6×	56 0.6×	85 0.9×	37 0.4×	6	720
Giulia Maule Italy	9	641 0.7×	143 0.4×	33 0.3×	40 0.4×	27 0.3×	13	725
Alvin Hsu United States	6	691 0.7×	192 0.6×	44 0.4×	91 0.9×	36 0.4×	8	744

Countries citing papers authored by Jason M. Gehrke

Since Specialization

Citations

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

Fields of papers citing papers by Jason M. Gehrke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason M. Gehrke. 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 Jason M. Gehrke. The network helps show where Jason M. Gehrke may publish in the future.

Co-authorship network of co-authors of Jason M. Gehrke

This figure shows the co-authorship network connecting the top 25 collaborators of Jason M. Gehrke. A scholar is included among the top collaborators of Jason M. Gehrke 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 Jason M. Gehrke. Jason M. Gehrke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Lam, Dieter K., Patrícia R. Feliciano, Amena Arif, et al.. (2023). Improved cytosine base editors generated from TadA variants. Nature Biotechnology. 41(5). 686–697. 79 indexed citations breakdown →

2.

Yang, Yinmeng, Ryan Murray, Faith Musenge, et al.. (2021). 155 CD5 knockout enhances the potency of multiplex base-edited allogeneic anti-CD5 CAR T-cell therapy for the treatment of T-cell malignancies. Regular and Young Investigator Award Abstracts. A165–A165. 2 indexed citations

3.

Zeng, Jing, Yuxuan Wu, Chunyan Ren, et al.. (2020). Therapeutic base editing of human hematopoietic stem cells. Nature Medicine. 26(4). 535–541. 205 indexed citations

4.

Gaudelli, Nicole M., Dieter K. Lam, Holly A. Rees, et al.. (2020). Directed evolution of adenine base editors with increased activity and therapeutic application. Nature Biotechnology. 38(7). 892–900. 341 indexed citations breakdown →

5.

Gehrke, Jason M., Aaron Edwards, Ryan Murray, et al.. (2020). 111 Highly efficient multiplexed base editing enables development of universal CD7-targeting CAR-T Cells to treat T-ALL. SHILAP Revista de lepidopterología. A69.1–A69. 1 indexed citations

6.

Gehrke, Jason M., Aaron Edwards, Ryan Murray, et al.. (2019). Highly Efficient Multiplexed Base Editing with Minimized Off-Targets for the Development of Universal CAR-T Cells to Treat Pediatric T-ALL. Blood. 134(Supplement_1). 5127–5127. 2 indexed citations

7.

Zeng, Jing, Yuxuan Wu, Chunyan Ren, et al.. (2019). Therapeutic Base Editing of Human Hematopoietic Stem Cells. Blood. 134(Supplement_1). 612–612. 27 indexed citations

8.

Gehrke, Jason M., Kendell Clement, Yuxuan Wu, et al.. (2018). An APOBEC3A-Cas9 base editor with minimized bystander and off-target activities. Nature Biotechnology. 36(10). 977–982. 331 indexed citations breakdown →

9.

Xue, Yong, Christopher Van, Suman Pradhan, et al.. (2015). The Ino80 complex prevents invasion of euchromatin into silent chromatin. Genes & Development. 29(4). 350–355. 36 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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