Daniela Basurto-Lozada
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
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- Immune Cell Function and Interaction
- Immune cells in cancer
- T-cell and B-cell Immunology
- IL-33, ST2, and ILC Pathways
Papers in
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- Cell Image Analysis Techniques 2
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- Immune Cell Function and Interaction 2
- Co-authors
- Josh Moore (1 shared paper)Muzlifah Haniffa (1 shared paper)Joaquín Salas (2 shared papers)Kola Babalola (1 shared paper)Shila Ghazanfar (1 shared paper)Martin Prete (1 shared paper)He Peng (1 shared paper)Aybüke Küpcü Yoldaş (1 shared paper)
- Journals
- Nature Immunology (2 papers)Remote Sensing Applications Society and Environment (1 paper)Nature Methods (1 paper)Science (1 paper)Pattern Recognition Letters (1 paper)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
Daniela Basurto-Lozada
7 papers receiving 398 citations
Daniela Basurto-Lozada's Hit Papers
Peers
Comparison fields: 5 of 74
- Biophysics 41
- Immunology 141
- Structural Biology 10
- Rehabilitation 36
- Dermatology 21
Countries citing papers authored by Daniela Basurto-Lozada
This map shows the geographic impact of Daniela Basurto-Lozada'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 Daniela Basurto-Lozada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Basurto-Lozada more than expected).
Fields of papers citing papers by Daniela Basurto-Lozada
This network shows the impact of papers produced by Daniela Basurto-Lozada. 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 Daniela Basurto-Lozada. The network helps show where Daniela Basurto-Lozada may publish in the future.
Co-authors
The 17 scholars most cited alongside Daniela Basurto-Lozada, 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 | High-dimensional single-cell analysis of human natural killer cell heterogeneity Hit paper breakdown → | 2024 | 142 |
| 2 | Spatiotemporal single-cell roadmap of human skin wound healing Hit paper breakdown → | 2024 | 99 |
| 3 | 2023 | 64 | |
| 4 | 2023 | 54 | |
| 5 | 2024 | 22 | |
| 6 | 2024 | 14 | |
| 7 | 2020 | 7 | |
| 8 | 2022 | 0 |
About Daniela Basurto-Lozada
Daniela Basurto-Lozada is a scholar working on Biophysics, Immunology, Environmental Engineering, Molecular Biology and Oncology, having authored 8 papers that have together received 402 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), CAR-T cell therapy research (2 papers), Remote Sensing and LiDAR Applications (2 papers), Remote Sensing in Agriculture (2 papers), Immune Cell Function and Interaction (2 papers), Cell Image Analysis Techniques (2 papers), Gene Regulatory Network Analysis (1 paper) and Tree Root and Stability Studies (1 paper). The work is most often cited by research in Biophysics (41 citations), Immunology (141 citations), Structural Biology (10 citations), Rehabilitation (36 citations) and Dermatology (21 citations). Daniela Basurto-Lozada has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Josh Moore, Muzlifah Haniffa, Joaquín Salas, Kola Babalola, Shila Ghazanfar, Martin Prete, He Peng, Aybüke Küpcü Yoldaş, Dave Horsfall and Sertaç Karaman. Their work appears in journals such as Nature Immunology, Remote Sensing Applications Society and Environment, Nature Methods, Science and Pattern Recognition Letters.
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.