Sven Nelander

6.1k citations
74 papers · 2.2k indexed · h-index 26

Impact in

Papers in

Sven Nelander

68 papers receiving 2.2k citations

Peers

Sven Nelander
Comparison fields: 5 of 126
  • Genetics 388
  • Cancer Research 468
  • Modeling and Simulation 116
  • Molecular Biology 1.4k
  • Biophysics 98
Replace Christopher G. Hubert with:
Christopher G. Hubert United States
Briana C. Prager United States
Angela Oliveira Pisco United States
Barbara Klink Germany
Andreas E. Moor Switzerland
Inmaculada Spiteri United Kingdom
Marc R. Birtwistle United States
Mariano J. Alvarez United States
David P. Noske Netherlands
Nemanja D. Marjanovic United States
Sven Nelander relative to Christopher G. Hubert United States Christopher G. Hubert's profile →
Citations per field
00.5×1.5×1.9×
Christopher G. Hubert · 1×
Citations per year

Countries citing papers authored by Sven Nelander

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Sven Nelander Line = papers co-authored together Sven Nelander links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20253
2 202211
3 20216
4 202126
5 202010
6 20206
7 202016
8 202044
9 201821
10 201730
11 201752
12 201644
13 201624
14 201644
15 201529
16 201415
17 201278
18 200814
19 20056
20 200533

About Sven Nelander

Sven Nelander is a scholar working on Genetics, Modeling and Simulation, Cancer Research, Developmental Neuroscience and Biophysics, having authored 74 papers that have together received 2.2k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (18 papers), Gene Regulatory Network Analysis (17 papers), Bioinformatics and Genomic Networks (16 papers), Gene expression and cancer classification (14 papers), MicroRNA in disease regulation (11 papers), Cancer Cells and Metastasis (11 papers), Single-cell and spatial transcriptomics (8 papers) and Cancer-related molecular mechanisms research (7 papers). The work is most often cited by research in Genetics (388 citations), Cancer Research (468 citations), Modeling and Simulation (116 citations), Molecular Biology (1.4k citations) and Biophysics (98 citations). Sven Nelander has collaborated with scholars based in Sweden, United States and United Kingdom. Frequent co-authors include Bengt Westermark, Marie Allen, Hanna Edlund, Mia Bjerke, Philip Gerlee, Chris Sander, Voichita D. Marinescu, Weiqing Wang, Teresia Kling and Peter Gennemark. Their work appears in journals such as Bioinformatics, Neuro-Oncology, Nature Communications, Cell Reports 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.

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