Jared Carlson-Stevermer

2.2k total citations
18 papers, 751 citations indexed

About

Jared Carlson-Stevermer is a scholar working on Molecular Biology, Genetics and Sociology and Political Science. According to data from OpenAlex, Jared Carlson-Stevermer has authored 18 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Sociology and Political Science. Recurrent topics in Jared Carlson-Stevermer's work include CRISPR and Genetic Engineering (13 papers), Pluripotent Stem Cells Research (6 papers) and Virus-based gene therapy research (3 papers). Jared Carlson-Stevermer is often cited by papers focused on CRISPR and Genetic Engineering (13 papers), Pluripotent Stem Cells Research (6 papers) and Virus-based gene therapy research (3 papers). Jared Carlson-Stevermer collaborates with scholars based in United States and Australia. Jared Carlson-Stevermer's co-authors include Krishanu Saha, Jennifer Oki, Kevin Holden, Meng Lou, Amr A. Abdeen, Jennifer M. Hayashi, Jan E. Carette, Ruofan Wang, Bastian Joehnk and Christopher M. Richards and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Jared Carlson-Stevermer

17 papers receiving 743 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jared Carlson-Stevermer United States 10 478 185 124 80 72 18 751
Jennifer Oki United States 5 1.2k 2.5× 230 1.2× 191 1.5× 122 1.5× 135 1.9× 5 1.5k
Daniela Roth United States 15 418 0.9× 121 0.7× 79 0.6× 116 1.4× 55 0.8× 20 785
Yanhui Xiang China 10 546 1.1× 103 0.6× 47 0.4× 37 0.5× 93 1.3× 15 792
Robert J. Ihry United States 7 847 1.8× 112 0.6× 237 1.9× 89 1.1× 53 0.7× 9 1.1k
Hongyong Zhang China 14 468 1.0× 58 0.3× 198 1.6× 56 0.7× 54 0.8× 41 772
Danny D. Nedialkova Germany 14 892 1.9× 200 1.1× 121 1.0× 52 0.7× 42 0.6× 19 1.2k
Marie Sondey United States 7 626 1.3× 112 0.6× 218 1.8× 52 0.7× 33 0.5× 10 806
Glenn Dawes United States 11 658 1.4× 90 0.5× 143 1.2× 40 0.5× 78 1.1× 12 915
Nancy Villa United States 19 593 1.2× 57 0.3× 236 1.9× 169 2.1× 86 1.2× 33 944
Juan I. Fuxman Bass United States 18 748 1.6× 54 0.3× 115 0.9× 66 0.8× 251 3.5× 48 1.1k

Countries citing papers authored by Jared Carlson-Stevermer

Since Specialization
Citations

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

Fields of papers citing papers by Jared Carlson-Stevermer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jared Carlson-Stevermer. 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 Jared Carlson-Stevermer. The network helps show where Jared Carlson-Stevermer may publish in the future.

Co-authorship network of co-authors of Jared Carlson-Stevermer

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

All Works

18 of 18 papers shown
1.
Williams, Caroline G., Alexander S. Jureka, Jesus A. Silvas, et al.. (2021). Inhibitors of VPS34 and fatty-acid metabolism suppress SARS-CoV-2 replication. Cell Reports. 36(5). 109479–109479. 77 indexed citations
2.
Wang, Ruofan, Camille R. Simoneau, Jessie Kulsuptrakul, et al.. (2020). Genetic Screens Identify Host Factors for SARS-CoV-2 and Common Cold Coronaviruses. Cell. 184(1). 106–119.e14. 260 indexed citations
3.
Carlson-Stevermer, Jared, et al.. (2020). Design of efficacious somatic cell genome editing strategies for recessive and polygenic diseases. Nature Communications. 11(1). 6277–6277. 28 indexed citations
4.
Carlson-Stevermer, Jared, Reed Kelso, Anastasia P. Kadina, et al.. (2020). CRISPRoff enables spatio-temporal control of CRISPR editing. Nature Communications. 11(1). 5041–5041. 51 indexed citations
5.
Carlson-Stevermer, Jared, et al.. (2019). Tracking and Predicting Human Somatic Cell Reprogramming Using Nuclear Characteristics. Biophysical Journal. 118(9). 2086–2102. 6 indexed citations
6.
Sun, Jichao, Jared Carlson-Stevermer, Utpal Das, et al.. (2018). CRISPR/Cas9 editing of APP C-terminus attenuates β-cleavage and promotes α-cleavage. Nature Communications. 10(1). 53–53. 79 indexed citations
7.
Mueller, Katherine P., Jared Carlson-Stevermer, & Krishanu Saha. (2018). Increasing the precision of gene editing in vitro, ex vivo, and in vivo. Current Opinion in Biomedical Engineering. 7. 83–90. 8 indexed citations
8.
Sun, Jichao, Jared Carlson-Stevermer, Utpal Das, et al.. (2018). A CRISPR/Cas9 Based Strategy to Manipulate the Alzheimerrs Amyloid Pathway. SSRN Electronic Journal.
9.
Carlson-Stevermer, Jared, et al.. (2017). Assembly of CRISPR ribonucleoproteins with biotinylated oligonucleotides via an RNA aptamer for precise gene editing. Nature Communications. 8(1). 1711–1711. 118 indexed citations
10.
Carlson-Stevermer, Jared & Krishanu Saha. (2017). Genome Editing in Human Pluripotent Stem Cells. Methods in molecular biology. 1590. 165–174. 6 indexed citations
11.
Carlson-Stevermer, Jared, et al.. (2016). 335. High Content Analysis Platform for Optimization of Lipid Mediated CRISPR-Cas9 Delivery Strategies in Human Cells. Molecular Therapy. 24. S133–S133. 1 indexed citations
12.
Carlson-Stevermer, Jared, et al.. (2016). High-Content Analysis of CRISPR-Cas9 Gene-Edited Human Embryonic Stem Cells. Stem Cell Reports. 6(1). 109–120. 22 indexed citations
13.
Carlson-Stevermer, Jared, et al.. (2016). 575. High Content Analysis of CRISPR-Cas9 Gene-Edited Human Embryonic Stem Cells. Molecular Therapy. 24. S229–S230. 1 indexed citations
14.
Nahum, Joshua, Peter Godfrey‐Smith, Brittany N. Harding, et al.. (2015). A tortoise–hare pattern seen in adapting structured and unstructured populations suggests a rugged fitness landscape in bacteria. Proceedings of the National Academy of Sciences. 112(24). 7530–7535. 54 indexed citations
15.
Carlson-Stevermer, Jared, et al.. (2015). High content analysis platform for optimization of lipid mediated CRISPR-Cas9 delivery strategies in human cells. Acta Biomaterialia. 34. 143–158. 22 indexed citations
16.
Cordie, Travis, Xin Jing, Jared Carlson-Stevermer, et al.. (2014). Nanofibrous Electrospun Polymers for Reprogramming Human Cells. Cellular and Molecular Bioengineering. 7(3). 379–393. 15 indexed citations
17.
Carlson-Stevermer, Jared, et al.. (2012). The role of deleterious mutations in the adaptation to a novel environment. 27–31. 1 indexed citations
18.
Carlson-Stevermer, Jared, et al.. (2012). The role of deleterious mutations in the adaptation to a novel environment. 27–31. 2 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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