Sven Nelander
Impact in
- Genetics top 2%
- Glioma Diagnosis and Treatment
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
Papers in
- Genetics 17
- Glioma Diagnosis and Treatment 17
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- MicroRNA in disease regulation 10
- Cancer-related molecular mechanisms research 7
- Co-authors
- Bengt Westermark (11 shared papers)Mia Bjerke (1 shared paper)Hanna Edlund (1 shared paper)Marie Allen (1 shared paper)Philip Gerlee (6 shared papers)Chris Sander (3 shared papers)Voichita Dana Marinescu (8 shared papers)Weiqing Wang (2 shared papers)
- Journals
- Nature Communications (6 papers)Cell Reports (5 papers)Bioinformatics (4 papers)Neuro-Oncology (3 papers)Molecular Cancer Research (3 papers)
- Partner nations
- SwedenUnited StatesUnited Kingdom
In The Last Decade
Sven Nelander
77 papers receiving 4.6k citations
Sven Nelander's Hit Papers
Peers
Comparison fields: 5 of 175
- Genetics 670
- Cancer Research 707
- Modeling and Simulation 144
- Molecular Biology 2.1k
- Oncology 730
Countries citing papers authored by Sven Nelander
This map shows the geographic impact of Sven Nelander'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 Sven Nelander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sven Nelander more than expected).
Fields of papers citing papers by Sven Nelander
This network shows the impact of papers produced by Sven Nelander. 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 Sven Nelander. The network helps show where Sven Nelander may publish in the future.
Co-authors
The 25 scholars most cited alongside Sven Nelander, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Variants in ELL2 influencing immunoglobulin levels associate with multiple myeloma Hit paper breakdown → | 2015 | 1024 |
| 2 | Subtype-specific genomic alterations define new targets for soft-tissue sarcoma therapy Hit paper breakdown → | 2010 | 610 |
| 3 | 2016 | 348 | |
| 4 | 2015 | 247 | |
| 5 | 2015 | 179 | |
| 6 | 2008 | 155 | |
| 7 | 2016 | 149 | |
| 8 | 2003 | 130 | |
| 9 | 2012 | 128 | |
| 10 | 2019 | 93 | |
| 11 | 2012 | 87 | |
| 12 | 2011 | 80 | |
| 13 | 2011 | 72 | |
| 14 | 2021 | 69 | |
| 15 | 2019 | 61 | |
| 16 | 2017 | 56 | |
| 17 | 2020 | 51 | |
| 18 | 2005 | 50 | |
| 19 | 2016 | 47 | |
| 20 | 2016 | 45 |
About Sven Nelander
Sven Nelander is a scholar working on Genetics, Cancer Research, Molecular Biology, Oncology and Modeling and Simulation, having authored 80 papers that have together received 4.7k indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (17 papers), Glioma Diagnosis and Treatment (17 papers), Bioinformatics and Genomic Networks (14 papers), Gene expression and cancer classification (13 papers), MicroRNA in disease regulation (10 papers), Cancer Cells and Metastasis (9 papers), Cancer-related molecular mechanisms research (7 papers) and Single-cell and spatial transcriptomics (6 papers). The work is most often cited by research in Genetics (670 citations), Cancer Research (707 citations), Modeling and Simulation (144 citations), Molecular Biology (2.1k citations) and Oncology (730 citations). Sven Nelander has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Bengt Westermark, Mia Bjerke, Hanna Edlund, Marie Allen, Philip Gerlee, Chris Sander, Voichita Dana Marinescu, Weiqing Wang, Teresia Kling and Peter Gennemark. Their work appears in journals such as Nature Communications, Cell Reports, Bioinformatics, Neuro-Oncology and Molecular Cancer Research.
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.