Lyla Atta
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
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- Single-cell and spatial transcriptomics
- Gene expression and cancer classification
- Molecular Biology Techniques and Applications
- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
Papers in
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- Single-cell and spatial transcriptomics 7
- Gene expression and cancer classification 3
- Gene Regulatory Network Analysis 2
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- Cell Image Analysis Techniques 4
- Co-authors
- Jean Fan (7 shared papers)Arpan Sahoo (2 shared papers)Feiyang Huang (1 shared paper)Brendan Miller (2 shared papers)Justus M. Kebschull (1 shared paper)Daniel J. Tward (1 shared paper)Michael I. Miller (1 shared paper)Douglas A. Lauffenburger (1 shared paper)
- Journals
- Nature Communications (4 papers)Bioinformatics (2 papers)Frontiers in Bioengineering and Biotechnology (1 paper)Genome biology (1 paper)Cellular and Molecular Bioengineering (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Lyla Atta
12 papers receiving 230 citations
Peers
Comparison fields: 5 of 60
- Biophysics 38
- Molecular Biology 193
- Cancer Research 34
- Immunology 44
- General Dentistry 2
Countries citing papers authored by Lyla Atta
This map shows the geographic impact of Lyla Atta'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 Lyla Atta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lyla Atta more than expected).
Fields of papers citing papers by Lyla Atta
This network shows the impact of papers produced by Lyla Atta. 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 Lyla Atta. The network helps show where Lyla Atta may publish in the future.
Co-authors
The 25 scholars most cited alongside Lyla Atta, 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 | 2022 | 104 | |
| 2 | 2023 | 41 | |
| 3 | 2021 | 38 | |
| 4 | 2021 | 12 | |
| 5 | 2021 | 10 | |
| 6 | 2018 | 8 | |
| 7 | 2024 | 8 | |
| 8 | 2020 | 5 | |
| 9 | 2024 | 3 | |
| 10 | 2021 | 3 | |
| 11 | 2020 | 2 | |
| 12 | 2025 | 1 | |
| 13 | 1953 | 1 | |
| 14 | 1962 | 0 | |
| 15 | 2024 | 0 |
About Lyla Atta
Lyla Atta is a scholar working on Molecular Biology, Biophysics, Pulmonary and Respiratory Medicine, Oncology and Infectious Diseases, having authored 15 papers that have together received 236 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), Cell Image Analysis Techniques (4 papers), Gene expression and cancer classification (3 papers), Infection Control and Ventilation (2 papers), COVID-19 and healthcare impacts (2 papers), Gene Regulatory Network Analysis (2 papers), Radio Astronomy Observations and Technology (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Biophysics (38 citations), Molecular Biology (193 citations), Cancer Research (34 citations), Immunology (44 citations) and General Dentistry (2 citations). Lyla Atta has collaborated with scholars based in United States and China. Frequent co-authors include Jean Fan, Arpan Sahoo, Feiyang Huang, Brendan Miller, Justus M. Kebschull, Daniel J. Tward, Michael I. Miller, Douglas A. Lauffenburger, Simon Gordonov and Aaron S. Meyer. Their work appears in journals such as Nature Communications, Bioinformatics, Frontiers in Bioengineering and Biotechnology, Genome biology and Cellular and Molecular Bioengineering.
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.