Anh Leith

2.3k citations
5 papers · 1.2k · 3 hit papers · h-index 5

Impact in

  • Aging top 10%
  • Genetics top 5%
    • Genomics and Rare Diseases
    • BRCA gene mutations in cancer

Papers in

Anh Leith

5 papers receiving 1.1k citations

Anh Leith's Hit Papers

Precise genomic deletions using paired prime editing 2021 · 192 citations
1920+2+5Years since publication100200300400

Peers

Anh Leith
Comparison fields: 5 of 77
  • Aging 31
  • Genetics 408
  • Molecular Biology 889
  • Business and International Management 19
  • Cancer Research 110
Replace Melissa D. Zhang with:
Melissa D. Zhang United States
Nan Cher Yeo United States
Sharan Janjuha Switzerland
Angela N. Pogson United States
Wendy Magis United States
Joaquín Custodio Sweden
Francesca Lorenzin Italy
Alejandro Barrera United States
Angelo Amabile United States
Son C. Nguyen United States
Anh Leith relative to Melissa D. Zhang United States Melissa D. Zhang's profile →
Citations per field
00.5×2.7×
Melissa D. Zhang · 1×
Citations per year

Countries citing papers authored by Anh Leith

Since Specialization
Citations

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

Fields of papers citing papers by Anh Leith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1
Accurate classification of BRCA1 variants with saturation genome editing
Hit paper breakdown →
2018495
2
A Genome-wide Framework for Mapping Gene Regulation via Cellular Genetic Screens
Hit paper breakdown →
2019390
3
Precise genomic deletions using paired prime editing
Hit paper breakdown →
2021192
4 201554
5 202424

About Anh Leith

Anh Leith is a scholar working on Molecular Biology, Epidemiology, Physiology, Genetics and Immunology, having authored 5 papers that have together received 1.2k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Genomics and Chromatin Dynamics (1 paper), RNA and protein synthesis mechanisms (1 paper), Evolution and Genetic Dynamics (1 paper), BRCA gene mutations in cancer (1 paper), Asthma and respiratory diseases (1 paper), Chromosomal and Genetic Variations (1 paper) and IL-33, ST2, and ILC Pathways (1 paper). The work is most often cited by research in Aging (31 citations), Genetics (408 citations), Molecular Biology (889 citations), Business and International Management (19 citations) and Cancer Research (110 citations). Anh Leith has collaborated with scholars based in United States. Frequent co-authors include Beth Martin, Jay Shendure, Melissa D. Zhang, Molly Gasperini, Riza M. Daza, Lea M. Starita, Xingfan Huang, Joseph D. Janizek, Gregory M. Findlay and José L. McFaline‐Figueroa. Their work appears in journals such as Nature, Nature Biotechnology, American Journal of Respiratory Cell and Molecular Biology and Cell.

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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