Efthymia Papalexi
- Molecular Biology top 0.2%
- Immunology top 0.2%
- Cancer Research top 0.5%
- Oncology top 1%
- Pulmonary and Respiratory Medicine top 2%
- Co-authors
- Rahul SatijaPeter SmibertAndrew ButlerPaul HoffmanMarlon StoeckiusWilliam M. MauckYuhan HaoTim Stuart
- Topics
- Single-cell and spatial transcriptomics (9 papers)CRISPR and Genetic Engineering (4 papers)Hematopoietic Stem Cell Transplantation (3 papers)
- Cited by
- ImmunologyCancer ResearchBiophysics
- Partner nations
- United StatesCanadaIsrael
In The Last Decade
Efthymia Papalexi
12 papers receiving 16.4k citations
Hit Papers
Peers
Comparison fields: 5 of 158
- Molecular Biology 10.6k
- Immunology 5.5k
- Cancer Research 2.5k
- Oncology 2.4k
- Pulmonary and Respiratory Medicine 1.3k
Countries citing papers authored by Efthymia Papalexi
This map shows the geographic impact of Efthymia Papalexi'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 Efthymia Papalexi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Efthymia Papalexi more than expected).
Fields of papers citing papers by Efthymia Papalexi
This network shows the impact of papers produced by Efthymia Papalexi. 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 Efthymia Papalexi. The network helps show where Efthymia Papalexi may publish in the future.
Co-authorship network of co-authors of Efthymia Papalexi
This figure shows the co-authorship network connecting the top 25 collaborators of Efthymia Papalexi. A scholar is included among the top collaborators of Efthymia Papalexi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Efthymia Papalexi. Efthymia Papalexi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 47 | |
| 3 | 104 | |
| 4 | 26 | |
| 5 | 1 | |
| 6 | Multiplexed detection of proteins, transcriptomes, clonotypes and CRISPR perturbations in single cellsbreakdown → | 305 |
| 7 | Comprehensive Integration of Single-Cell Databreakdown → | 7937 |
| 8 | 59 | |
| 9 | Integrating single-cell transcriptomic data across different conditions, technologies, and speciesbreakdown → | 6774 |
| 10 | 100 | |
| 11 | Single-cell RNA sequencing to explore immune cell heterogeneitybreakdown → | 1098 |
| 12 | 3 |
About Efthymia Papalexi
Efthymia Papalexi is a scholar working on Biophysics, Hematology and Immunology, having authored 12 papers that have together received 16.5k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (9 papers), CRISPR and Genetic Engineering (4 papers) and Hematopoietic Stem Cell Transplantation (3 papers). The work is most often cited by research in Immunology (5.5k citations), Cancer Research (2.5k citations) and Biophysics (907 citations). Efthymia Papalexi has collaborated with scholars based in United States, Canada and Israel. Frequent co-authors include Rahul Satija, Peter Smibert, Andrew Butler, Paul Hoffman, Marlon Stoeckius, William M. Mauck, Yuhan Hao, Tim Stuart, Christoph Hafemeister and Eleni P. Mimitou. Their work appears in journals such as Cell, Nature Genetics and The Journal of Experimental Medicine.
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.