Amy Goodale

9.9k citations
16 papers · 861 indexed · 1 hit paper · h-index 9

Amy Goodale

15 papers receiving 855 citations

Hit Papers

Optimized libraries for CRISPR-Cas9 genetic screens with ...5052018202620202023100200300400500

Peers

Amy Goodale
Comparison fields: 5 of 69
  • Aging 33
  • Molecular Biology 664
  • Cancer Research 109
  • Business and International Management 14
  • Oncology 159
Replace Colin E.J. Pritchard with:
Colin E.J. Pritchard Netherlands
Rajula Elango United States
Morgan E. Diolaiti United States
Richard H. van Jaarsveld Netherlands
Iris Müller United Kingdom
Joseph P. Milazzo United States
Matthew A. Coelho United Kingdom
Xinjun Ji United States
Danilo Maddalo Germany
Rebecca A. Dagg Australia
Amy Goodale relative to Colin E.J. Pritchard Netherlands Colin E.J. Pritchard's profile →
Citations per field
00.5×4.1×
Colin E.J. Pritchard · 1×
Citations per year

Countries citing papers authored by Amy Goodale

Since Specialization
Citations

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

Fields of papers citing papers by Amy Goodale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 20252
2 20244
3 20235
4 202317
5 202313
6 20228
7 20220
8 20221
9 201930
10 201926
11 201999
12 201913
13 201862
14
Optimized libraries for CRISPR-Cas9 genetic screens with multiple modalitiesbreakdown →
2018505
15 20181
16 201775

About Amy Goodale

Amy Goodale is a scholar working on Cancer Research, Hematology, Biophysics, Molecular Biology and Clinical Biochemistry, having authored 16 papers that have together received 861 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), Protein Degradation and Inhibitors (3 papers), Melanoma and MAPK Pathways (3 papers), RNA and protein synthesis mechanisms (3 papers), Acute Myeloid Leukemia Research (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), vaccines and immunoinformatics approaches (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Aging (33 citations), Molecular Biology (664 citations), Cancer Research (109 citations), Business and International Management (14 citations) and Oncology (159 citations). Amy Goodale has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Federica Piccioni, David E. Root, John G. Doench, Mudra Hegde, Katherine Donovan, Christine Strand, Kendall R Sanson, Ruth E. Hanna, Meagan E. Sullender and Emma W Vaimberg. Their work appears in journals such as Cell Genomics, Nature Communications, Neuro-Oncology, Cancer Research and Cancer Discovery.

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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