Florence M. Chardon

1.6k citations
12 papers · 851 indexed · 3 hit papers · h-index 8
Topics
CRISPR and Genetic Engineering (7 papers)Single-cell and spatial transcriptomics (4 papers)Chromosomal and Genetic Variations (2 papers)

In The Last Decade

Florence M. Chardon

10 papers receiving 845 citations

Hit Papers

High-content CRISPR screening202120262022202420222021202250100150200250

Peers

Florence M. Chardon
Comparison fields: 5 of 84
  • Molecular Biology 742
  • Genetics 162
  • Oncology 123
  • Plant Science 59
  • Cancer Research 58
Replace Kendall R Sanson with:
Kendall R Sanson United States
Ruth E. Hanna United States
Ryan J. Cecchi United States
Wendy Magis United States
Matthew A. Coelho United Kingdom
Sandeep K. Botla Germany
Hiroko Koike-Yusa United Kingdom
Jordan Pinder Canada
Elizabeth Frias Switzerland
King L. Hung United States
Florence M. Chardon relative to Kendall R Sanson United States Kendall R Sanson's profile →
Citations per field
00.5×1.5×1.9×
Kendall R Sanson · 1×
Citations per year

Countries citing papers authored by Florence M. Chardon

Since Specialization
Citations

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

Fields of papers citing papers by Florence M. Chardon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florence M. Chardon

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 0
2 0
3 3
4 14
5 35
6
High-content CRISPR screeningbreakdown →
276
7 86
8
High-content CRISPR screeningbreakdown →
170
9
Precise genomic deletions using paired prime editingbreakdown →
179
10 9
11 4
12 75

About Florence M. Chardon

Florence M. Chardon is a scholar working on Biophysics, Molecular Biology and Neurology, having authored 12 papers that have together received 851 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (7 papers), Single-cell and spatial transcriptomics (4 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Aging (42 citations), Business and International Management (34 citations) and Molecular Biology (742 citations). Florence M. Chardon has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Jay Shendure, Beth Martin, Riza M. Daza, Choli Lee, Junhong Choi, Wei Chen, Chase C. Suiter, Thomas M. Norman, Lei S. Qi and Jonathan S. Weissman. Their work appears in journals such as Nature, Cell and Nature Communications.

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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