Amy Goodale

9.9k total citations · 1 hit paper
16 papers, 861 citations indexed

About

Amy Goodale is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Amy Goodale has authored 16 papers receiving a total of 861 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Cancer Research. Recurrent topics in Amy Goodale's work include CRISPR and Genetic Engineering (5 papers), Protein Degradation and Inhibitors (3 papers) and Melanoma and MAPK Pathways (3 papers). Amy Goodale is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), Protein Degradation and Inhibitors (3 papers) and Melanoma and MAPK Pathways (3 papers). Amy Goodale collaborates with scholars based in United States, Germany and South Korea. Amy Goodale's co-authors include Federica Piccioni, David E. Root, John G. Doench, Mudra Hegde, Katherine Donovan, Ruth E. Hanna, Kendall R Sanson, Emma W Vaimberg, Meagan E. Sullender and Christine Strand and has published in prestigious journals such as Cell, Nature Communications and Blood.

In The Last Decade

Amy Goodale

15 papers receiving 855 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Optimized libraries for CRISPR-Cas9 genetic screens with multiple modalities

2018 505 citations Kendall R Sanson, Ruth E. Hanna et al. Nature Communications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Amy Goodale United States	9	664	159	109	103	80	16	861
Chiara Vardabasso United States	9	740 1.1×	159 1.0×	120 1.1×	56 0.5×	83 1.0×	12	873
Zhen Cai China	13	731 1.1×	302 1.9×	132 1.2×	59 0.6×	108 1.4×	21	963
Anna E. Burrows United States	5	649 1.0×	155 1.0×	146 1.3×	60 0.6×	106 1.3×	5	869
Rebecca A. Dagg Australia	12	707 1.1×	259 1.6×	126 1.2×	54 0.5×	65 0.8×	17	1.0k
Naoe Taira Japan	11	544 0.8×	297 1.9×	127 1.2×	45 0.4×	47 0.6×	13	737
Matteo Pallocca Italy	16	562 0.8×	203 1.3×	277 2.5×	87 0.8×	146 1.8×	36	852
Yoshihito Kano Japan	12	491 0.7×	266 1.7×	99 0.9×	57 0.6×	177 2.2×	29	763
Marieke Aarts Netherlands	14	628 0.9×	239 1.5×	114 1.0×	67 0.7×	28 0.3×	17	818
Yuemeng Jia United States	14	747 1.1×	118 0.7×	259 2.4×	96 0.9×	107 1.3×	18	1.2k
Iris Müller United Kingdom	16	629 0.9×	210 1.3×	80 0.7×	63 0.6×	140 1.8×	36	987

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 of co-authors of Amy Goodale

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Shirole, Nitin H., Yenarae Lee, Amy Goodale, et al.. (2025). Requirement for Cyclin D1 Underlies Cell-Autonomous HIF2 Dependence in Kidney Cancer. Cancer Discovery. 15(7). 1484–1504. 2 indexed citations

Miller, Nathan, Justin A. Bosch, Jonathan Zirin, et al.. (2024). Modular vector assembly enables rapid assessment of emerging CRISPR technologies. Cell Genomics. 4(3). 100519–100519. 4 indexed citations

Goodale, Amy, Zohra Kalani, Meghan Wyatt, et al.. (2023). Genome-wide pooled CRISPR screening in neurospheres. Nature Protocols. 18(7). 2014–2031. 5 indexed citations

Sharifnia, Tanaz, Mathias J. Wawer, Amy Goodale, et al.. (2023). Mapping the landscape of genetic dependencies in chordoma. Nature Communications. 14(1). 1933–1933. 17 indexed citations

Miller, Nathan, et al.. (2023). Optimization of Cas12a for multiplexed genome-scale transcriptional activation. Cell Genomics. 3(9). 100387–100387. 13 indexed citations

Malone, Clare F., Gabriela Alexe, Amanda L. Robichaud, et al.. (2022). Transcriptional Antagonism by CDK8 Inhibition Improves Therapeutic Efficacy of MEK Inhibitors. Cancer Research. 83(2). 285–300. 8 indexed citations

Boynton, Adam N., Leslie Lupien, Gabrielle Gionet, et al.. (2022). MEDB-85. Transcriptional complexes as resistance drivers to BET inhibition. Neuro-Oncology. 24(Supplement_1). i126–i126.

Lupien, Leslie, Adam N. Boynton, Gabrielle Gionet, et al.. (2022). MEDB-73. Lipid metabolism as a therapeutic vulnerability in BET inhibitor-resistant medulloblastoma. Neuro-Oncology. 24(Supplement_1). i123–i123. 1 indexed citations

Hayes, Tikvah K., Flora Luo, Ofir Cohen, et al.. (2019). A Functional Landscape of Resistance to MEK1/2 and CDK4/6 Inhibition in NRAS-Mutant Melanoma. Cancer Research. 79(9). 2352–2366. 30 indexed citations

10.

Cremer, Anjali, Jana M. Ellegast, Gabriela Alexe, et al.. (2019). Resistance Mechanisms to SYK Inhibition in Acute Myeloid Leukemia. Cancer Discovery. 10(2). 214–231. 26 indexed citations

11.

Zviran, Asaf, Lisa Brenan, Joshua S. Schiffman, et al.. (2019). Genotype-Fitness Maps of EGFR-Mutant Lung Adenocarcinoma Chart the Evolutionary Landscape of Resistance for Combination Therapy Optimization. Cell Systems. 10(1). 52–65.e7. 13 indexed citations

12.

To, Tsz‐Leung, Alejandro M. Cuadros, Hardik Shah, et al.. (2019). A Compendium of Genetic Modifiers of Mitochondrial Dysfunction Reveals Intra-organelle Buffering. Cell. 179(5). 1222–1238.e17. 99 indexed citations

13.

Guenther, Lillian M., Neekesh V. Dharia, Linda S. Ross, et al.. (2018). A Combination CDK4/6 and IGF1R Inhibitor Strategy for Ewing Sarcoma. Clinical Cancer Research. 25(4). 1343–1357. 62 indexed citations

14.

Sanson, Kendall R, Ruth E. Hanna, Mudra Hegde, et al.. (2018). Optimized libraries for CRISPR-Cas9 genetic screens with multiple modalities. Nature Communications. 9(1). 5416–5416. 505 indexed citations breakdown →

15.

Cremer, Anjali, Jana M. Ellegast, Yana Pikman, et al.. (2018). Resistance Mechanisms to SYK Inhibition in AML. Blood. 132(Supplement 1). 2638–2638. 1 indexed citations

16.

Wang, Belinda, Elsa Krall, Andrew J. Aguirre, et al.. (2017). ATXN1L, CIC, and ETS Transcription Factors Modulate Sensitivity to MAPK Pathway Inhibition. Cell Reports. 18(6). 1543–1557. 75 indexed citations

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.

Explore authors with similar magnitude of impact