Diego Mallo
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Breast Cancer Treatment Studies
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- Single-cell and spatial transcriptomics
- Genomics and Phylogenetic Studies
- Protist diversity and phylogeny
Papers in
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- Cancer Genomics and Diagnostics 7
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- Genomics and Phylogenetic Studies 6
- Co-authors
- David Posada (5 shared papers)Leonardo de Oliveira Martins (3 shared papers)Carlo C. Maley (7 shared papers)Thomas A. Richards (1 shared paper)Colomban de Vargas (1 shared paper)Javier del Campo (1 shared paper)Ramón Massana (1 shared paper)Iñaki Ruiz‐Trillo (1 shared paper)
- Journals
- Systematic Biology (3 papers)Nature Communications (2 papers)F1000Research (1 paper)Environmental Microbiology (1 paper)Philosophical Transactions of the Royal Society B Biological Sciences (1 paper)
- Partner nations
- United StatesSpainUnited Kingdom
In The Last Decade
Diego Mallo
17 papers receiving 842 citations
Diego Mallo's Hit Papers
Peers
Comparison fields: 5 of 75
- Cancer Research 150
- Molecular Biology 432
- Oncology 103
- Aging 7
- Health Informatics 9
Countries citing papers authored by Diego Mallo
This map shows the geographic impact of Diego Mallo'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 Diego Mallo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diego Mallo more than expected).
Fields of papers citing papers by Diego Mallo
This network shows the impact of papers produced by Diego Mallo. 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 Diego Mallo. The network helps show where Diego Mallo may publish in the future.
Co-authors
The 25 scholars most cited alongside Diego Mallo, 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 | The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution Hit paper breakdown → | 2020 | 385 |
| 2 | 2015 | 104 | |
| 3 | 2016 | 73 | |
| 4 | 2022 | 60 | |
| 5 | 2014 | 42 | |
| 6 | 2018 | 42 | |
| 7 | 2014 | 35 | |
| 8 | 2024 | 32 | |
| 9 | 2020 | 26 | |
| 10 | 2018 | 19 | |
| 11 | 2014 | 6 | |
| 12 | 2014 | 6 | |
| 13 | 2021 | 6 | |
| 14 | 2025 | 6 | |
| 15 | 2016 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2025 | 0 |
About Diego Mallo
Diego Mallo is a scholar working on Cancer Research, Molecular Biology, Modeling and Simulation, Genetics and Genetics, having authored 18 papers that have together received 848 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (7 papers), Genomics and Phylogenetic Studies (6 papers), Genetic diversity and population structure (2 papers), Veterinary Oncology Research (2 papers), Evolution and Paleontology Studies (1 paper), Cancer Cells and Metastasis (1 paper), Glioma Diagnosis and Treatment (1 paper) and Invertebrate Taxonomy and Ecology (1 paper). The work is most often cited by research in Cancer Research (150 citations), Molecular Biology (432 citations), Oncology (103 citations), Aging (7 citations) and Health Informatics (9 citations). Diego Mallo has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include David Posada, Leonardo de Oliveira Martins, Carlo C. Maley, Thomas A. Richards, Colomban de Vargas, Javier del Campo, Ramón Massana, Iñaki Ruiz‐Trillo, Mary K. Kuhner and Thomas G. Paulson. Their work appears in journals such as Systematic Biology, Nature Communications, F1000Research, Environmental Microbiology and Philosophical Transactions of the Royal Society B Biological Sciences.
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.