Simone Picelli
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 4
- Immunology top 2%
- Molecular Biology top 1%
- Single-cell and spatial transcriptomics 10
- Extracellular vesicles in disease 3
- Advanced biosensing and bioanalysis techniques 3
- CRISPR and Genetic Engineering 3
- Biophysics top 0.5%
- Aging top 5%
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- Genetic factors in colorectal cancer 8
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- Genomic variations and chromosomal abnormalities 4
- BRCA gene mutations in cancer 3
- Co-authors
- Rickard SandbergÅsa K. BjörklundGösta WinbergSven SagasserOmid R. FaridaniBjörn ReiniusAlan SabirshAnne‐Christine Andréasson
- Partner nations
- SwedenSwitzerlandUnited States
In The Last Decade
Simone Picelli
27 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Cancer Research 1.2k
- Immunology 1.5k
- Molecular Biology 4.6k
- Biophysics 343
- Aging 72
Countries citing papers authored by Simone Picelli
This map shows the geographic impact of Simone Picelli'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 Simone Picelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simone Picelli more than expected).
Fields of papers citing papers by Simone Picelli
This network shows the impact of papers produced by Simone Picelli. 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 Simone Picelli. The network helps show where Simone Picelli may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Simone Picelli, 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 | 2023 | 23 | |
| 2 | 2022 | 53 | |
| 3 | 2022 | 8 | |
| 4 | 2019 | 40 | |
| 5 | 2019 | 4 | |
| 6 | 2018 | 139 | |
| 7 | 2017 | 57 | |
| 8 | 2017 | 12 | |
| 9 | The heterogeneity of human CD127+ innate lymphoid cells revealed by single-cell RNA sequencingbreakdown → | 2016 | 368 |
| 10 | Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetesbreakdown → | 2016 | 987 |
| 11 | 2016 | 31 | |
| 12 | 2016 | 161 | |
| 13 | Tn5 transposase and tagmentation procedures for massively scaled sequencing projectsbreakdown → | 2014 | 532 |
| 14 | Full-length RNA-seq from single cells using Smart-seq2breakdown → | 2014 | 2473 |
| 15 | 2010 | 52 | |
| 16 | 2010 | 14 | |
| 17 | 2008 | 28 | |
| 18 | 2008 | 6 | |
| 19 | 2007 | 19 | |
| 20 | 2003 | 13 |
About Simone Picelli
Simone Picelli is a scholar working on Pathology and Forensic Medicine, Cancer Research and Genetics, having authored 27 papers that have together received 6.8k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (10 papers), Genetic factors in colorectal cancer (8 papers), Genomic variations and chromosomal abnormalities (4 papers), Cancer Genomics and Diagnostics (4 papers), Extracellular vesicles in disease (3 papers), BRCA gene mutations in cancer (3 papers), Advanced biosensing and bioanalysis techniques (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Cancer Research (1.2k citations), Immunology (1.5k citations) and Molecular Biology (4.6k citations). Simone Picelli has collaborated with scholars based in Sweden, Switzerland and United States. Frequent co-authors include Rickard Sandberg, Åsa K. Björklund, Gösta Winberg, Sven Sagasser, Omid R. Faridani, Björn Reinius, Alan Sabirsh, Anne‐Christine Andréasson, Xiaoyan Sun and Magnus Bjursell. Their work appears in journals such as Nature Protocols, Cell Metabolism, Scientific Reports, British Journal of Cancer and Gene.
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.