Maura Costello

8.3k citations
11 papers · 3.8k indexed · 3 hit papers · h-index 10

Maura Costello

11 papers receiving 3.7k citations

Hit Papers

Characterizing and measuring bias in sequence data575200320262010201850010001.5k

Peers

Maura Costello
Comparison fields: 5 of 135
  • Physiology 1.3k
  • Molecular Biology 2.6k
  • Cancer Research 428
  • Geriatrics and Gerontology 101
  • Genetics 601
Replace José A. Dianes with:
José A. Dianes United Kingdom
Hongmei Zhu China
Yang Cao China
Barbara Frewen United States
Weijun Luo United States
Tobias Ternent United Kingdom
Cédric Simillion Switzerland
Zhihua Jiang United States
Sylva L. Donaldson Canada
Noemí del‐Toro United Kingdom
Maura Costello relative to José A. Dianes United Kingdom José A. Dianes's profile →
Citations per field
00.5×4.6×
José A. Dianes · 1×
Citations per year

Countries citing papers authored by Maura Costello

Since Specialization
Citations

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

Fields of papers citing papers by Maura Costello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

11 of 11 papers shown
#Work
1 202381
2 202110
3 2018164
4
Characterizing and measuring bias in sequence databreakdown →
2013575
5 2013252
6
High-quality draft assemblies of mammalian genomes from massively parallel sequence databreakdown →
20101037
7 201049
8 200714
9 200617
10 20062
11
Coordinated reduction of genes of oxidative metabolism in humans with insulin resistance and diabetes: Potential role ofPGC1andNRF1breakdown →
20031594

About Maura Costello

Maura Costello is a scholar working on Hematology, Molecular Biology and Cancer Research, having authored 11 papers that have together received 3.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Molecular Biology Techniques and Applications (4 papers), Single-cell and spatial transcriptomics (2 papers), Cancer Genomics and Diagnostics (2 papers), RNA and protein synthesis mechanisms (2 papers), Acute Myeloid Leukemia Research (1 paper), RNA modifications and cancer (1 paper) and Genetic Associations and Epidemiology (1 paper). The work is most often cited by research in Physiology (1.3k citations), Molecular Biology (2.6k citations) and Cancer Research (428 citations). Maura Costello has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include David B. Jaffe, Chad Nusbaum, Edwin J. Landaker, Sarah Crunkhorn, Mary‐Elizabeth Patti, Allison B. Goldfine, Edward C. Mun, C. Ronald Kahn, Jean Finlayson and Yoshinori Miyazaki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and The Journal of Experimental Medicine.

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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