Ruth E. Hanna

3.1k citations
13 papers · 1.2k indexed · 2 hit papers · h-index 11

Impact in

Papers in

Ruth E. Hanna

13 papers receiving 1.2k citations

Hit Papers

Massively parallel assessment of human variants with base editor screens 2021 · 202 citations
2022018202620202023100200300400500

Peers

Ruth E. Hanna
Comparison fields: 5 of 75
  • Aging 65
  • Business and International Management 35
  • Molecular Biology 1.0k
  • Genetics 166
  • Oncology 156
Replace Kendall R Sanson with:
Kendall R Sanson United States
Christine Strand United States
Florence M. Chardon United States
Hiroko Koike-Yusa United Kingdom
Elizabeth Frias Switzerland
Mahmut Parlak United States
Daniel E. Ryan United States
Andrew Kennedy United States
Lior Nissim Israel
Samuel B. Hayward United States
Ruth E. Hanna relative to Kendall R Sanson United States Kendall R Sanson's profile →
Citations per field
00.5×1.5×
Kendall R Sanson · 1×
Citations per year

Countries citing papers authored by Ruth E. Hanna

Since Specialization
Citations

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

Fields of papers citing papers by Ruth E. Hanna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruth E. Hanna. 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 Ruth E. Hanna. The network helps show where Ruth E. Hanna may publish in the future.

Co-authors

The 25 scholars most cited alongside Ruth E. Hanna, 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 Ruth E. Hanna Line = papers co-authored together Ruth E. Hanna links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 202417
2 20234
3 202210
4 202230
5
Massively parallel assessment of human variants with base editor screens
Hit paper breakdown →
2021202
6 2020110
7 202072
8 2020126
9 201927
10 201814
11
Optimized libraries for CRISPR-Cas9 genetic screens with multiple modalities
Hit paper breakdown →
2018505
12 201834
13 201619

About Ruth E. Hanna

Ruth E. Hanna is a scholar working on Reproductive Medicine, Parasitology, Molecular Biology, Genetics and Oncology, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), RNA and protein synthesis mechanisms (5 papers), Advanced biosensing and bioanalysis techniques (4 papers), Evolution and Genetic Dynamics (2 papers), RNA Interference and Gene Delivery (2 papers), Ovarian cancer diagnosis and treatment (2 papers), PARP inhibition in cancer therapy (2 papers) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Aging (65 citations), Business and International Management (35 citations), Molecular Biology (1.0k citations), Genetics (166 citations) and Oncology (156 citations). Ruth E. Hanna has collaborated with scholars based in United States, Austria and Switzerland. Frequent co-authors include John G. Doench, Mudra Hegde, Kendall R Sanson, Christine Strand, Amy Goodale, David E. Root, Katherine Donovan, Meagan E. Sullender, Emma W Vaimberg and Federica Piccioni. Their work appears in journals such as Nature Communications, Nature Biotechnology, Cell, Cancers and Journal of Bacteriology.

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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