Kelcee A. Everette

1.6k citations
7 papers · 789 indexed · 3 hit papers · h-index 5
Topics
CRISPR and Genetic Engineering (6 papers)Hemoglobinopathies and Related Disorders (3 papers)Advanced biosensing and bioanalysis techniques (2 papers)
Partner nations
United StatesGreece

In The Last Decade

Kelcee A. Everette

7 papers receiving 773 citations

Hit Papers

Engineered pegRNAs improve prime editing efficiency2021202620222024202120232023100200300400

Peers

Kelcee A. Everette
Comparison fields: 5 of 43
  • Molecular Biology 736
  • Genetics 231
  • Plant Science 91
  • Business and International Management 58
  • Genetics 54
Replace Meirui An with:
Meirui An United States
Jason M. Gehrke United States
Alvin Hsu United States
Giulia Maule Italy
Friederike Knipping United States
Charles D. Yeh United States
Gue‐Ho Hwang South Korea
Samuel B. Hayward United States
Zhiquan Liu China
Kelcee A. Everette relative to Meirui An United States Meirui An's profile →
Citations per field
00.5×2.7×
Meirui An · 1×
Citations per year

Countries citing papers authored by Kelcee A. Everette

Since Specialization
Citations

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

Fields of papers citing papers by Kelcee A. Everette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kelcee A. Everette. 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 Kelcee A. Everette. The network helps show where Kelcee A. Everette may publish in the future.

Co-authorship network of co-authors of Kelcee A. Everette

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 51
2
Ex vivo prime editing of patient haematopoietic stem cells rescues sickle-cell disease phenotypes after engraftment in micebreakdown →
85
3
Phage-assisted evolution and protein engineering yield compact, efficient prime editorsbreakdown →
161
4 24
5 1
6
Engineered pegRNAs improve prime editing efficiencybreakdown →
463
7 4

About Kelcee A. Everette

Kelcee A. Everette is a scholar working on Genetics, Virology and Molecular Biology, having authored 7 papers that have together received 789 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (6 papers), Hemoglobinopathies and Related Disorders (3 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Business and International Management (58 citations), Aging (43 citations) and Molecular Biology (736 citations). Kelcee A. Everette has collaborated with scholars based in United States and Greece. Frequent co-authors include Peyton B. Randolph, Meirui An, Gregory A. Newby, Peter J. Chen, Andrew V. Anzalone, Alvin Hsu, Simon P. Shen, David Liu, Jonathan C. Chen and James W. Nelson. Their work appears in journals such as Cell, Blood and Nature Biotechnology.

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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