Reuben Moncada
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Biophysics top 5%
- Cell Image Analysis Techniques
Papers in
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- Single-cell and spatial transcriptomics 3
- Lipid Membrane Structure and Behavior 2
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- Immune cells in cancer 3
- Co-authors
- Itai Yanai (5 shared papers)Maayan Baron (3 shared papers)Cristina Hajdu (2 shared papers)Dalia Barkley (2 shared papers)Marta Chiodin (1 shared paper)Diane M. Simeone (1 shared paper)Joseph C. Devlin (1 shared paper)Florian Wagner (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)Nature Biotechnology (1 paper)Cell Systems (1 paper)Nature Genetics (1 paper)Nature (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Reuben Moncada
7 papers receiving 1.1k citations
Reuben Moncada's Hit Papers
Peers
Comparison fields: 5 of 79
- Cancer Research 301
- Biophysics 106
- Immunology 259
- Molecular Biology 794
- Oncology 285
Countries citing papers authored by Reuben Moncada
This map shows the geographic impact of Reuben Moncada'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 Reuben Moncada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Reuben Moncada more than expected).
Fields of papers citing papers by Reuben Moncada
This network shows the impact of papers produced by Reuben Moncada. 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 Reuben Moncada. The network helps show where Reuben Moncada may publish in the future.
Co-authors
The 25 scholars most cited alongside Reuben Moncada, 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 | Integrating microarray-based spatial transcriptomics and single-cell RNA-seq reveals tissue architecture in pancreatic ductal adenocarcinomas Hit paper breakdown → | 2020 | 663 |
| 2 | Cancer cell states recur across tumor types and form specific interactions with the tumor microenvironment Hit paper breakdown → | 2022 | 259 |
| 3 | 2021 | 157 | |
| 4 | 2020 | 57 | |
| 5 | 2025 | 4 | |
| 6 | 2014 | 3 | |
| 7 | 2017 | 1 |
About Reuben Moncada
Reuben Moncada is a scholar working on Molecular Biology, Immunology, Oncology, Biochemistry and Cancer Research, having authored 7 papers that have together received 1.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Immune cells in cancer (3 papers), Cancer Genomics and Diagnostics (2 papers), Cancer Cells and Metastasis (2 papers), Lipid Membrane Structure and Behavior (2 papers), Lipid metabolism and biosynthesis (2 papers), Cancer Research and Treatments (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Cancer Research (301 citations), Biophysics (106 citations), Immunology (259 citations), Molecular Biology (794 citations) and Oncology (285 citations). Reuben Moncada has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Itai Yanai, Maayan Baron, Cristina Hajdu, Dalia Barkley, Marta Chiodin, Diane M. Simeone, Joseph C. Devlin, Florian Wagner, Miranda V. Hunter and Richard M. White. Their work appears in journals such as Biochemical and Biophysical Research Communications, Nature Biotechnology, Cell Systems, Nature Genetics and Nature.
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.