Romain Lopez
Impact in
- Biophysics top 0.5%
- Cell Image Analysis Techniques
- Molecular Biology top 5%
- Single-cell and spatial transcriptomics
- Gene expression and cancer classification
- Gene Regulatory Network Analysis
- Extracellular vesicles in disease
Papers in
-
- Single-cell and spatial transcriptomics 7
- Gene expression and cancer classification 3
- Genetics, Bioinformatics, and Biomedical Research 1
-
- Cell Image Analysis Techniques 5
- Co-authors
- Allon M. Klein (1 shared paper)Samuel L. Wolock (1 shared paper)Nir Yosef (7 shared papers)Jeffrey Regier (5 shared papers)Michael I. Jordan (6 shared papers)Michael B. Cole (1 shared paper)Adam Gayoso (3 shared papers)Chenling Xu (1 shared paper)
- Journals
- Nature Methods (2 papers)Molecular Systems Biology (2 papers)Annals of Oncology (1 paper)Cell Systems (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesIsraelFrance
In The Last Decade
Romain Lopez
12 papers receiving 2.9k citations
Romain Lopez's Hit Papers
Peers
Comparison fields: 5 of 108
- Biophysics 490
- Molecular Biology 2.3k
- Cancer Research 495
- Immunology 652
- Neurology 155
Countries citing papers authored by Romain Lopez
This map shows the geographic impact of Romain Lopez'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 Romain Lopez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Romain Lopez more than expected).
Fields of papers citing papers by Romain Lopez
This network shows the impact of papers produced by Romain Lopez. 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 Romain Lopez. The network helps show where Romain Lopez may publish in the future.
Co-authors
The 25 scholars most cited alongside Romain Lopez, 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 | Scrublet: Computational Identification of Cell Doublets in Single-Cell Transcriptomic Data Hit paper breakdown → | 2019 | 1095 |
| 2 | Deep generative modeling for single-cell transcriptomics Hit paper breakdown → | 2018 | 1089 |
| 3 | Joint probabilistic modeling of single-cell multi-omic data with totalVI Hit paper breakdown → | 2021 | 249 |
| 4 | Probabilistic harmonization and annotation of single‐cell transcriptomics data with deep generative models Hit paper breakdown → | 2021 | 236 |
| 5 | 2022 | 118 | |
| 6 | 2020 | 44 | |
| 7 | 2023 | 18 | |
| 8 | 2020 | 9 | |
| 9 | Information Constraints on Auto-Encoding Variational Bayes | 2018 | 7 |
| 10 | 2019 | 4 | |
| 11 | 2013 | 1 | |
| 12 | 2024 | 1 |
About Romain Lopez
Romain Lopez is a scholar working on Molecular Biology, Biophysics, Artificial Intelligence, Immunology and Surgery, having authored 12 papers that have together received 2.9k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (7 papers), Cell Image Analysis Techniques (5 papers), Gene expression and cancer classification (3 papers), Immune cells in cancer (2 papers), Cancer Genomics and Diagnostics (1 paper), Genetics, Bioinformatics, and Biomedical Research (1 paper), 3D Shape Modeling and Analysis (1 paper) and Colorectal Cancer Surgical Treatments (1 paper). The work is most often cited by research in Biophysics (490 citations), Molecular Biology (2.3k citations), Cancer Research (495 citations), Immunology (652 citations) and Neurology (155 citations). Romain Lopez has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Allon M. Klein, Samuel L. Wolock, Nir Yosef, Jeffrey Regier, Michael I. Jordan, Michael B. Cole, Adam Gayoso, Chenling Xu, Kristopher L. Nazor and Aaron Streets. Their work appears in journals such as Nature Methods, Molecular Systems Biology, Annals of Oncology, Cell Systems and Proceedings of the National Academy of 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.