Ashley M. Jacobi

3.5k citations
25 papers · 1.9k indexed · 2 hit papers · h-index 17

Ashley M. Jacobi

25 papers receiving 1.9k citations

Hit Papers

CRISPR-Cas9 genome editing using targeted lipid nanoparti...4302018202620202023100200300400500

Peers

Ashley M. Jacobi
Comparison fields: 5 of 100
  • Business and International Management 92
  • Aging 77
  • Molecular Biology 1.5k
  • Genetics 366
  • Cancer Research 173
Replace Eva K. Brinkman with:
Eva K. Brinkman Netherlands
Jonathan D. Chesnut United States
Jiazhi Hu China
Richard L. Frock United States
Kendell Clement United States
Samagya Banskota United States
Michael A. Collingwood United States
Siyuan Tan United States
Tristan Tay United States
Russell C. DeKelver United States
Ashley M. Jacobi relative to Eva K. Brinkman Netherlands Eva K. Brinkman's profile →
Citations per field
00.5×1.5×
Eva K. Brinkman · 1×
Citations per year

Countries citing papers authored by Ashley M. Jacobi

Since Specialization
Citations

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

Fields of papers citing papers by Ashley M. Jacobi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ashley M. Jacobi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ashley M. Jacobi Line = papers co-authored together Ashley M. Jacobi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202341
2 20227
3 202113
4
CRISPR-Cas9 genome editing using targeted lipid nanoparticles for cancer therapybreakdown →
2020430
5 202042
6 202014
7 2019162
8
A high-fidelity Cas9 mutant delivered as a ribonucleoprotein complex enables efficient gene editing in human hematopoietic stem and progenitor cellsbreakdown →
2018541
9 201842
10 2017102
11 201628
12 201514
13 20149
14 20148
15 201384
16 201341
17 201341
18 201224
19 201210
20 201157

About Ashley M. Jacobi

Ashley M. Jacobi is a scholar working on Aging, Business and International Management and Molecular Biology, having authored 25 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (8 papers), CRISPR and Genetic Engineering (8 papers), RNA Interference and Gene Delivery (6 papers), Virus-based gene therapy research (3 papers), RNA regulation and disease (3 papers), Immune Response and Inflammation (3 papers), Cystic Fibrosis Research Advances (3 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Business and International Management (92 citations), Aging (77 citations) and Molecular Biology (1.5k citations). Ashley M. Jacobi has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Mark A. Behlke, Rolf Turk, Garrett R. Rettig, Dan Peer, Judy Lieberman, Zvi R. Cohen, Ranit Kedmi, Mollie S. Schubert, Michael A. Collingwood and Srinivas Ramishetti. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

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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