Anna Cuomo
Impact in
- Biophysics top 5%
- Cell Image Analysis Techniques
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- Single-cell and spatial transcriptomics
- Gene Regulatory Network Analysis
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Pluripotent Stem Cells Research
Papers in
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- Single-cell and spatial transcriptomics 6
- Gene Regulatory Network Analysis 3
- Gene expression and cancer classification 2
- Pluripotent Stem Cells Research 2
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- African Studies and Ethnography 3
- Co-authors
- John C. Marioni (3 shared papers)Oliver Stegle (3 shared papers)Ricard Argelaguet (1 shared paper)Marc Jan Bonder (2 shared papers)Joseph E. Powell (3 shared papers)Daniel G. MacArthur (3 shared papers)Aparna Nathan (1 shared paper)Soumya Raychaudhuri (1 shared paper)
- Journals
- Nature Genetics (2 papers)Molecular Systems Biology (1 paper)Nature Biotechnology (1 paper)Acta Haematologica (1 paper)Cahiers d études africaines (1 paper)
- Partner nations
- GermanyAustraliaUnited States
In The Last Decade
Anna Cuomo
13 papers receiving 522 citations
Anna Cuomo's Hit Papers
Peers
Comparison fields: 5 of 77
- Biophysics 71
- Molecular Biology 436
- Cancer Research 64
- Genetics 87
- Aging 4
Countries citing papers authored by Anna Cuomo
This map shows the geographic impact of Anna Cuomo'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 Anna Cuomo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Cuomo more than expected).
Fields of papers citing papers by Anna Cuomo
This network shows the impact of papers produced by Anna Cuomo. 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 Anna Cuomo. The network helps show where Anna Cuomo may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Cuomo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Computational principles and challenges in single-cell data integration Hit paper breakdown → | 2021 | 245 |
| 2 | 2021 | 135 | |
| 3 | 2023 | 58 | |
| 4 | 2021 | 32 | |
| 5 | 2022 | 24 | |
| 6 | 2009 | 16 | |
| 7 | 2024 | 6 | |
| 8 | 2009 | 4 | |
| 9 | 2015 | 3 | |
| 10 | 2016 | 3 | |
| 11 | 2024 | 1 | |
| 12 | Studio retrospettivo sul trapianto autologo di midollo osseo emopoietico nel trattamento delle lesioni tenodesmiche della mano e del piede del cavallo | 2006 | 1 |
| 13 | 2014 | 1 | |
| 14 | 2020 | 0 |
About Anna Cuomo
Anna Cuomo is a scholar working on Molecular Biology, Sociology and Political Science, Archeology, Religious studies and Surgery, having authored 14 papers that have together received 529 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Cultural Identity and Heritage (4 papers), African Studies and Ethnography (3 papers), Gene Regulatory Network Analysis (3 papers), Gene expression and cancer classification (2 papers), Pluripotent Stem Cells Research (2 papers), Caribbean and African Literature and Culture (2 papers) and Orthopedic Surgery and Rehabilitation (1 paper). The work is most often cited by research in Biophysics (71 citations), Molecular Biology (436 citations), Cancer Research (64 citations), Genetics (87 citations) and Aging (4 citations). Anna Cuomo has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include John C. Marioni, Oliver Stegle, Ricard Argelaguet, Marc Jan Bonder, Joseph E. Powell, Daniel G. MacArthur, Aparna Nathan, Soumya Raychaudhuri, Malin H. L. Andersson and Edward Mountjoy. Their work appears in journals such as Nature Genetics, Molecular Systems Biology, Nature Biotechnology, Acta Haematologica and Cahiers d études africaines.
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.