Marissa N. Feeley

657 total citations · 1 hit paper
6 papers, 343 citations indexed

About

Marissa N. Feeley is a scholar working on Molecular Biology, Immunology and Organic Chemistry. According to data from OpenAlex, Marissa N. Feeley has authored 6 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Immunology and 1 paper in Organic Chemistry. Recurrent topics in Marissa N. Feeley's work include Galectins and Cancer Biology (3 papers), Signaling Pathways in Disease (2 papers) and CRISPR and Genetic Engineering (2 papers). Marissa N. Feeley is often cited by papers focused on Galectins and Cancer Biology (3 papers), Signaling Pathways in Disease (2 papers) and CRISPR and Genetic Engineering (2 papers). Marissa N. Feeley collaborates with scholars based in United States. Marissa N. Feeley's co-authors include Peter C. DeWeirdt, Audrey L Griffith, John G. Doench, Annabel K. Sangree, Mudra Hegde, Ruth E. Hanna, Kendall R Sanson, Christian Fagre, Luke W. Koblan and James T. Neal and has published in prestigious journals such as Cell, Nature Communications and Nature Biotechnology.

In The Last Decade

Marissa N. Feeley

6 papers receiving 342 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.

Massively parallel assessment of human variants with base editor screens

2021 202 citations Ruth E. Hanna, Mudra Hegde et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marissa N. Feeley United States	5	321	77	30	23	22	6	343
Audrey L Griffith United States	4	334 1.0×	84 1.1×	33 1.1×	23 1.0×	23 1.0×	5	358
Annabel K. Sangree United States	6	426 1.3×	97 1.3×	57 1.9×	26 1.1×	28 1.3×	7	459
Christian Fagre United States	4	252 0.8×	67 0.9×	23 0.8×	19 0.8×	16 0.7×	5	277
Sasha Pantel United States	4	303 0.9×	82 1.1×	65 2.2×	19 0.8×	14 0.6×	4	336
Paul C. Kirchgatterer United States	3	452 1.4×	65 0.8×	43 1.4×	21 0.9×	18 0.8×	4	502
Tomasz Kallas Sweden	7	436 1.4×	75 1.0×	38 1.3×	19 0.8×	23 1.0×	8	481
Jonathan T. Vu United States	8	440 1.4×	109 1.4×	39 1.3×	25 1.1×	39 1.8×	14	473
Amandine Moretton France	6	290 0.9×	41 0.5×	25 0.8×	22 1.0×	10 0.5×	11	324
Joana Ferreira da Silva Austria	9	262 0.8×	67 0.9×	30 1.0×	16 0.7×	10 0.5×	11	293
Sneha Suresh United States	4	369 1.1×	71 0.9×	18 0.6×	14 0.6×	40 1.8×	4	387

Countries citing papers authored by Marissa N. Feeley

Since Specialization

Citations

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

Fields of papers citing papers by Marissa N. Feeley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marissa N. Feeley. 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 Marissa N. Feeley. The network helps show where Marissa N. Feeley may publish in the future.

Co-authorship network of co-authors of Marissa N. Feeley

This figure shows the co-authorship network connecting the top 25 collaborators of Marissa N. Feeley. A scholar is included among the top collaborators of Marissa N. Feeley 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 Marissa N. Feeley. Marissa N. Feeley 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:

6 of 6 papers shown

1.

Hanna, Ruth E., Mudra Hegde, Christian Fagre, et al.. (2021). Massively parallel assessment of human variants with base editor screens. Cell. 184(4). 1064–1080.e20. 202 indexed citations breakdown →

2.

Lenoir, Walter F., Peter C. DeWeirdt, Megan McLaughlin, et al.. (2021). Discovery of putative tumor suppressors from CRISPR screens reveals rewired lipid metabolism in acute myeloid leukemia cells. Nature Communications. 12(1). 6506–6506. 16 indexed citations

3.

Woodward, Ashley M., et al.. (2021). CRISPR/Cas9 genome editing reveals an essential role for basigin in maintaining a nonkeratinized squamous epithelium in cornea. FASEB BioAdvances. 3(11). 897–908. 2 indexed citations

4.

DeWeirdt, Peter C., Kendall R Sanson, Annabel K. Sangree, et al.. (2020). Optimization of AsCas12a for combinatorial genetic screens in human cells. Nature Biotechnology. 39(1). 94–104. 110 indexed citations

5.

González‐Andrades, Miguel, María C. Rodríguez, Marissa N. Feeley, et al.. (2020). Golgi α1,2-mannosidase I induces clustering and compartmentalization of CD147 during epithelial cell migration. Cell Adhesion & Migration. 14(1). 96–105. 4 indexed citations

6.

Feeley, Marissa N., et al.. (2020). The O-GlcNAc modification promotes terminal differentiation of human corneal epithelial cells. Glycobiology. 30(11). 872–880. 9 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.

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