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)Dalia Barkley (2 shared papers)Cristina Hajdu (2 shared papers)Florian Wagner (1 shared paper)Marta Chiodin (1 shared paper)Joseph C. Devlin (1 shared paper)Diane M. Simeone (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)Cell Systems (1 paper)Nature (1 paper)Nature Genetics (1 paper)Nature Biotechnology (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 80
- Cancer Research 339
- Biophysics 108
- Immunology 292
- Oncology 318
- Molecular Biology 791
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 | 626 |
| 2 | Cancer cell states recur across tumor types and form specific interactions with the tumor microenvironment Hit paper breakdown → | 2022 | 235 |
| 3 | 2021 | 148 | |
| 4 | 2020 | 52 | |
| 5 | 2014 | 3 | |
| 6 | 2025 | 2 | |
| 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), Lipid Membrane Structure and Behavior (2 papers), Lipid metabolism and biosynthesis (2 papers), Cancer Cells and Metastasis (2 papers), Cellular Mechanics and Interactions (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Cancer Research (339 citations), Biophysics (108 citations), Immunology (292 citations), Oncology (318 citations) and Molecular Biology (791 citations). Reuben Moncada has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Itai Yanai, Maayan Baron, Dalia Barkley, Cristina Hajdu, Florian Wagner, Marta Chiodin, Joseph C. Devlin, Diane M. Simeone, Richard M. White and Miranda V. Hunter. Their work appears in journals such as Biochemical and Biophysical Research Communications, Cell Systems, Nature, Nature Genetics and Nature Biotechnology.
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.