Charlotte Tibbit

1.6k citations
10 papers · 1.1k indexed · 1 hit paper · h-index 9
Topics
CRISPR and Genetic Engineering (5 papers)Genetic Syndromes and Imprinting (2 papers)Epigenetics and DNA Methylation (2 papers)

In The Last Decade

Charlotte Tibbit

10 papers receiving 1.1k citations

Hit Papers

Highly Efficient Targeted Mutagenesis of Drosophila with ...20132026201720212013200400600

Peers

Charlotte Tibbit
Comparison fields: 5 of 78
  • Molecular Biology 915
  • Insect Science 235
  • Genetics 214
  • Cancer Research 196
  • Aging 152
Replace Zhanxiang Wang with:
Zhanxiang Wang China
Xingjie Ren United States
Danielle C. Hamm United States
Scott J. Gratz United States
Matthew McNeill United States
Decai Mao China
Yonatan B. Tzur Israel
Ari E. Friedland United States
Becky Xu Hua Fu United States
Sandra C. Garrett United States
Charlotte Tibbit relative to Zhanxiang Wang China Zhanxiang Wang's profile →
Citations per field
00.5×4.4×
Zhanxiang Wang · 1×
Citations per year

Countries citing papers authored by Charlotte Tibbit

Since Specialization
Citations

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

Fields of papers citing papers by Charlotte Tibbit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charlotte Tibbit. 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 Charlotte Tibbit. The network helps show where Charlotte Tibbit may publish in the future.

Co-authorship network of co-authors of Charlotte Tibbit

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 2
2 23
3 42
4 18
5 12
6 70
7 42
8
Highly Efficient Targeted Mutagenesis of Drosophila with the CRISPR/Cas9 Systembreakdown →
652
9 90
10 163

About Charlotte Tibbit

Charlotte Tibbit is a scholar working on Aging, Developmental Neuroscience and Cancer Research, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Genetic Syndromes and Imprinting (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Aging (152 citations), Business and International Management (47 citations) and Insect Science (235 citations). Charlotte Tibbit has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Ji‐Long Liu, Andrew Bassett, Chris P. Ponting, Wilfried Haerty, Ana Claudia Marques, Robert S. Young, Sanjay Ghosh, Lucy Wheatley, Ghows Azzam and Timothy Rajakumar. Their work appears in journals such as Nucleic Acids Research, Nature Communications and PLoS ONE.

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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