Marissa N. Feeley

657 citations
6 papers · 343 indexed · 1 hit paper · h-index 5
Topics
Galectins and Cancer Biology (3 papers)Signaling Pathways in Disease (2 papers)CRISPR and Genetic Engineering (2 papers)
Partner nations
United States

In The Last Decade

Marissa N. Feeley

6 papers receiving 342 citations

Hit Papers

Massively parallel assessment of human variants with base...2021202620222024202150100150200

Peers

Marissa N. Feeley
Comparison fields: 5 of 46
  • Molecular Biology 321
  • Genetics 77
  • Oncology 30
  • Epidemiology 23
  • Aging 22
Replace Audrey L Griffith with:
Audrey L Griffith United States
Annabel K. Sangree United States
Christian Fagre United States
Paul C. Kirchgatterer United States
Oliver Pelz Germany
Tobias Anton Germany
Johanna Shen United States
Dmitri Segal Canada
Tomasz Kallas Sweden
Joana Ferreira da Silva Austria
Marissa N. Feeley relative to Audrey L Griffith United States Audrey L Griffith's profile →
Citations per field
00.5×1.5×
Audrey L Griffith · 1×
Citations per year

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

6 of 6 papers shown
#WorkIndexed citations
1
Massively parallel assessment of human variants with base editor screensbreakdown →
202
2 16
3 2
4 110
5 4
6 9

About Marissa N. Feeley

Marissa N. Feeley is a scholar working on Immunology, Hematology and Molecular Biology, having authored 6 papers that have together received 343 indexed citations. Recurring topics across this work include Galectins and Cancer Biology (3 papers), Signaling Pathways in Disease (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Aging (22 citations), Business and International Management (12 citations) and Molecular Biology (321 citations). Marissa N. Feeley has collaborated with scholars based in United States. Frequent co-authors include Annabel K. Sangree, John G. Doench, Audrey L Griffith, Peter C. DeWeirdt, Ruth E. Hanna, Mudra Hegde, Kendall R Sanson, Luke W. Koblan, James T. Neal and Christian Fagre. Their work appears in journals such as Cell, Nature Communications and Nature Biotechnology.

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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