Valentine Svensson
- Biophysics top 0.5%
- Cell Image Analysis Techniques 3
- Cancer Research top 5%
- Molecular Biology top 2%
- Single-cell and spatial transcriptomics 11
- Extracellular vesicles in disease 4
- Immunology top 5%
- Immune cells in cancer 4
- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- Immune Response and Inflammation 2
- Neurology top 10%
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- Zebrafish Biomedical Research Applications 2
- Co-authors
- Sarah A. TeichmannAleksandra A. KolodziejczykJohn C. MarioniJong KimRoser Vento‐TormoOliver StegleLior PachterIain C. Macaulay
- Partner nations
- United KingdomUnited StatesPortugal
In The Last Decade
Valentine Svensson
16 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Biophysics 401
- Cancer Research 644
- Molecular Biology 2.6k
- Immunology 594
- Neurology 108
Countries citing papers authored by Valentine Svensson
This map shows the geographic impact of Valentine Svensson'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 Valentine Svensson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentine Svensson more than expected).
Fields of papers citing papers by Valentine Svensson
This network shows the impact of papers produced by Valentine Svensson. 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 Valentine Svensson. The network helps show where Valentine Svensson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Valentine Svensson, 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 | 2020 | 119 | |
| 2 | 2020 | 98 | |
| 3 | 2020 | 48 | |
| 4 | 2020 | 74 | |
| 5 | 2020 | 12 | |
| 6 | 2019 | 1 | |
| 7 | 2018 | 30 | |
| 8 | Exponential scaling of single-cell RNA-seq in the past decadebreakdown → | 2018 | 572 |
| 9 | SpatialDE: identification of spatially variable genesbreakdown → | 2018 | 349 |
| 10 | 2017 | 381 | |
| 11 | 2017 | 80 | |
| 12 | 2016 | 150 | |
| 13 | 2016 | 127 | |
| 14 | 2016 | 56 | |
| 15 | 2015 | 55 | |
| 16 | The Technology and Biology of Single-Cell RNA Sequencingbreakdown → | 2015 | 964 |
About Valentine Svensson
Valentine Svensson is a scholar working on Biophysics, Immunology and Molecular Biology, having authored 16 papers that have together received 3.1k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (11 papers), Extracellular vesicles in disease (4 papers), Immune cells in cancer (4 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Cell Image Analysis Techniques (3 papers), Immune Response and Inflammation (2 papers) and Zebrafish Biomedical Research Applications (2 papers). The work is most often cited by research in Biophysics (401 citations), Cancer Research (644 citations) and Molecular Biology (2.6k citations). Valentine Svensson has collaborated with scholars based in United Kingdom, United States and Portugal. Frequent co-authors include Sarah A. Teichmann, Aleksandra A. Kolodziejczyk, John C. Marioni, Jong Kim, Roser Vento‐Tormo, Oliver Stegle, Lior Pachter, Iain C. Macaulay, Ana Cvejic and Charlotte Labalette. Their work appears in journals such as Nature Communications, Nature Biotechnology and Molecular Cell.
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.