Lyla Atta

1.4k total citations
15 papers, 236 citations indexed

About

Lyla Atta is a scholar working on Molecular Biology, Biophysics and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Lyla Atta has authored 15 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Biophysics and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Lyla Atta's work include Single-cell and spatial transcriptomics (7 papers), Cell Image Analysis Techniques (4 papers) and Gene expression and cancer classification (3 papers). Lyla Atta is often cited by papers focused on Single-cell and spatial transcriptomics (7 papers), Cell Image Analysis Techniques (4 papers) and Gene expression and cancer classification (3 papers). Lyla Atta collaborates with scholars based in United States and China. Lyla Atta's co-authors include Jean Fan, Arpan Sahoo, Feiyang Huang, Brendan Miller, Justus M. Kebschull, Daniel J. Tward, Michael I. Miller, Simon Gordonov, Douglas A. Lauffenburger and Aaron S. Meyer and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Lyla Atta

12 papers receiving 230 citations

Peers

Lyla Atta
Ken Xie China
Mingbo Cheng Germany
Anupriya Dalmia United Kingdom
Michelle Melanson United States
Paige N. Vega United States
Lyla Atta
Citations per year, relative to Lyla Atta Lyla Atta (= 1×) peers Xinfeng Yao

Countries citing papers authored by Lyla Atta

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Lyla Atta

This figure shows the co-authorship network connecting the top 25 collaborators of Lyla Atta. A scholar is included among the top collaborators of Lyla Atta 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 Lyla Atta. Lyla Atta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Brusko, Maigan A., Lyla Atta, Mark A. Atkinson, et al.. (2025). Characterizing cell-type spatial relationships across length scales in spatially resolved omics data. Nature Communications. 16(1). 350–350. 1 indexed citations
2.
Atta, Lyla, et al.. (2024). SEraster: a rasterization preprocessing framework for scalable spatial omics data analysis. Bioinformatics. 40(7). 3 indexed citations
3.
Atta, Lyla, et al.. (2024). Gene count normalization in single-cell imaging-based spatially resolved transcriptomics. Genome biology. 25(1). 153–153. 8 indexed citations
4.
Wright, Carrie, Lyla Atta, Margaret A. Taub, et al.. (2024). Open Case Studies: Statistics and Data Science Education through Real-World Applications. SHILAP Revista de lepidopterología. 32(4). 331–344.
5.
Atta, Lyla, et al.. (2023). STalign: Alignment of spatial transcriptomics data using diffeomorphic metric mapping. Nature Communications. 14(1). 8123–8123. 41 indexed citations
6.
Miller, Brendan, Feiyang Huang, Lyla Atta, Arpan Sahoo, & Jean Fan. (2022). Reference-free cell type deconvolution of multi-cellular pixel-resolution spatially resolved transcriptomics data. Nature Communications. 13(1). 2339–2339. 104 indexed citations
7.
Atta, Lyla, Arpan Sahoo, & Jean Fan. (2021). VeloViz: RNA velocity-informed embeddings for visualizing cellular trajectories. Bioinformatics. 38(2). 391–396. 10 indexed citations
8.
Antonini, Marc‐Joseph, Deborah Plana, Shriya S. Srinivasan, et al.. (2021). A Crisis-Responsive Framework for Medical Device Development Applied to the COVID-19 Pandemic. Frontiers in Digital Health. 3. 12 indexed citations
9.
Atta, Lyla & Jean Fan. (2021). Computational challenges and opportunities in spatially resolved transcriptomic data analysis. Nature Communications. 12(1). 5283–5283. 38 indexed citations
10.
Atta, Lyla, Deborah Plana, Christopher Davis, et al.. (2021). De Novo Powered Air-Purifying Respirator Design and Fabrication for Pandemic Response. Frontiers in Bioengineering and Biotechnology. 9. 690905–690905. 3 indexed citations
11.
Plana, Deborah, Laura Maliszewski, Lily A. Chylek, et al.. (2020). Considerations for the Selection and Use of Disinfectants Against SARS-CoV-2 in a Health Care Setting. Open Forum Infectious Diseases. 7(9). ofaa396–ofaa396. 5 indexed citations
12.
Kumar, Priyanka, et al.. (2020). Student curriculum review team, 8 years later: Where we stand and opportunities for growth. Medical Teacher. 43(3). 314–319. 2 indexed citations
13.
Atta, Lyla, et al.. (2018). Systems Modeling Identifies Divergent Receptor Tyrosine Kinase Reprogramming to MAPK Pathway Inhibition. Cellular and Molecular Bioengineering. 11(6). 451–469. 8 indexed citations
14.
Atta, Lyla & S. Silver. (1962). Contributions to the Antenna Field during World War II. Proceedings of the IRE. 50(5). 692–697.
15.
Atta, Lyla. (1953). The Development of Professional Groups and Chapters in the IRE. Proceedings of the IRE. 41(9). 1092–1096. 1 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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