Daniel Ramsköld
- Cancer Research top 1%
- Cancer-related molecular mechanisms research 7
- Cancer Genomics and Diagnostics 4
- Molecular Biology top 2%
- Single-cell and spatial transcriptomics 5
- RNA Research and Splicing 5
- RNA modifications and cancer 4
- Biophysics top 1%
- Immunology top 5%
- T-cell and B-cell Immunology 7
- Aging top 10%
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- Systemic Lupus Erythematosus Research 4
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- Inflammatory Myopathies and Dermatomyositis 3
- Co-authors
- Rickard SandbergQiaolin DengBjörn ReiniusChristopher B. BurgeEric T. WangOmid R. FaridaniGary P. SchrothIrina Khrebtukova
- Journals
- Journal of Autoimmunity (2 papers)Annals of the Rheumatic Diseases (2 papers)Nature Biotechnology (2 papers)
- Partner nations
- SwedenUnited StatesFinland
In The Last Decade
Daniel Ramsköld
30 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Cancer Research 1.1k
- Molecular Biology 3.5k
- Biophysics 209
- Immunology 688
- Aging 33
Countries citing papers authored by Daniel Ramsköld
This map shows the geographic impact of Daniel Ramsköld'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 Daniel Ramsköld with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Ramsköld more than expected).
Fields of papers citing papers by Daniel Ramsköld
This network shows the impact of papers produced by Daniel Ramsköld. 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 Daniel Ramsköld. The network helps show where Daniel Ramsköld may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Ramsköld, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 13 | |
| 4 | 2024 | 7 | |
| 5 | 2023 | 15 | |
| 6 | 2021 | 13 | |
| 7 | Single-cell RNA counting at allele and isoform resolution using Smart-seq3breakdown → | 2020 | 407 |
| 8 | 2018 | 16 | |
| 9 | 2018 | 12 | |
| 10 | 2017 | 45 | |
| 11 | 2017 | 84 | |
| 12 | 2016 | 37 | |
| 13 | 2016 | 31 | |
| 14 | 2015 | 95 | |
| 15 | 2014 | 43 | |
| 16 | Single-Cell RNA-Seq Reveals Dynamic, Random Monoallelic Gene Expression in Mammalian Cellsbreakdown → | 2014 | 900 |
| 17 | 2013 | 19 | |
| 18 | Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cellsbreakdown → | 2012 | 1174 |
| 19 | 2011 | 238 | |
| 20 | An Abundance of Ubiquitously Expressed Genes Revealed by Tissue Transcriptome Sequence Databreakdown → | 2009 | 653 |
About Daniel Ramsköld
Daniel Ramsköld is a scholar working on Cancer Research, Biological Psychiatry, Rheumatology, Immunology and Molecular Biology, having authored 32 papers that have together received 4.5k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), T-cell and B-cell Immunology (7 papers), Single-cell and spatial transcriptomics (5 papers), RNA Research and Splicing (5 papers), RNA modifications and cancer (4 papers), Systemic Lupus Erythematosus Research (4 papers), Cancer Genomics and Diagnostics (4 papers) and Inflammatory Myopathies and Dermatomyositis (3 papers). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (3.5k citations), Biophysics (209 citations), Immunology (688 citations) and Aging (33 citations). Daniel Ramsköld has collaborated with scholars based in Sweden, United States and Finland. Frequent co-authors include Rickard Sandberg, Qiaolin Deng, Björn Reinius, Christopher B. Burge, Eric T. Wang, Omid R. Faridani, Gary P. Schroth, Irina Khrebtukova, Jeanne F. Loring and Shujun Luo. Their work appears in journals such as Journal of Autoimmunity, Annals of the Rheumatic Diseases, Nature Biotechnology, PLoS ONE and iScience.
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.