Jennifer M. Cherone

2.0k citations
8 papers · 1.4k indexed · 1 hit paper · h-index 5
Topics
CRISPR and Genetic Engineering (4 papers)Advanced biosensing and bioanalysis techniques (3 papers)Pluripotent Stem Cells Research (2 papers)

In The Last Decade

Jennifer M. Cherone

8 papers receiving 1.3k citations

Hit Papers

Genetic engineering of human pluripotent cells using TALE...20112026201620212011250500750

Peers

Jennifer M. Cherone
Comparison fields: 5 of 75
  • Molecular Biology 1.3k
  • Genetics 276
  • Cell Biology 147
  • Cellular and Molecular Neuroscience 124
  • Plant Science 113
Replace Marcus B. Noyes with:
Marcus B. Noyes United States
Emily K. Mis United States
C. H. Alvin Hong Kong
Jarryd M. Campbell United States
Russell C. DeKelver United States
Hiromi Miura Japan
Elizabeth A. Boydston United States
Michelle E. McClements United Kingdom
Juan Pablo Fernández United States
H. Steve Zhang United States
Jennifer M. Cherone relative to Marcus B. Noyes United States Marcus B. Noyes's profile →
Citations per field
00.5×1.6×
Marcus B. Noyes · 1×
Citations per year

Countries citing papers authored by Jennifer M. Cherone

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer M. Cherone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer M. Cherone

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 3
2 4
3 25
4 150
5 1
6 114
7
Genetic engineering of human pluripotent cells using TALE nucleasesbreakdown →
894
8 186

About Jennifer M. Cherone

Jennifer M. Cherone is a scholar working on Immunology and Allergy, Genetics and Molecular Biology, having authored 8 papers that have together received 1.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Aging (54 citations), Business and International Management (46 citations) and Molecular Biology (1.3k citations). Jennifer M. Cherone has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Bryan Zeitler, Jeffrey C. Miller, Fyodor D. Urnov, Edward J. Rebar, Philip D. Gregory, Yolanda Santiago, Qing Gao, Sarah J. Hinkley, Rudolf Jaenisch and Dirk Hockemeyer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Nature Cell Biology.

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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