Mia Niklasson

1.1k citations
12 papers · 267 indexed · h-index 7

Impact in

  • Biophysics top 10%
    • Cell Image Analysis Techniques
    • Glioma Diagnosis and Treatment

Papers in

    • Glioma Diagnosis and Treatment 4
    • Cell Image Analysis Techniques 2
    • Advanced Fluorescence Microscopy Techniques 2

Mia Niklasson

12 papers receiving 261 citations

Peers

Mia Niklasson
Comparison fields: 5 of 56
  • Biophysics 36
  • Genetics 50
  • Cancer Research 51
  • Structural Biology 4
  • Molecular Biology 194
Replace Philipp Geiger with:
Philipp Geiger United States
Justine Sinnaeve United States
Bernhard Reuter Germany
Abdullah H. Feroze United States
Jolanda Sarno United States
Maria Vladoiu Canada
Yaomin Li China
Ana Jimenez‐Pascual United Kingdom
Enders Kai On Ng Hong Kong
Rocky Shi Canada
Mia Niklasson relative to Philipp Geiger United States Philipp Geiger's profile →
Citations per field
00.5×1.5×
Philipp Geiger · 1×
Citations per year

Countries citing papers authored by Mia Niklasson

Since Specialization
Citations

This map shows the geographic impact of Mia Niklasson'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 Mia Niklasson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mia Niklasson more than expected).

Fields of papers citing papers by Mia Niklasson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mia Niklasson. 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 Mia Niklasson. The network helps show where Mia Niklasson may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Mia Niklasson, 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 Mia Niklasson Line = papers co-authored together Mia Niklasson links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 20251
2 20246
3 202126
4 202010
5 20193
6 20193
7 201931
8 20183
9 20171
10 2015165
11 201212
12 20106

About Mia Niklasson

Mia Niklasson is a scholar working on Genetics, Biophysics, Developmental Neuroscience, Modeling and Simulation and Molecular Biology, having authored 12 papers that have together received 267 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (4 papers), Single-cell and spatial transcriptomics (3 papers), Immune cells in cancer (2 papers), RNA Research and Splicing (2 papers), Cell Image Analysis Techniques (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Cancer Cells and Metastasis (2 papers) and Cellular Mechanics and Interactions (1 paper). The work is most often cited by research in Biophysics (36 citations), Genetics (50 citations), Cancer Research (51 citations), Structural Biology (4 citations) and Molecular Biology (194 citations). Mia Niklasson has collaborated with scholars based in Sweden and Spain. Frequent co-authors include Bengt Westermark, Anna Segerman, Sven Nelander, Simon Fredriksson, Spyros Darmanis, Martin Lundberg, Erika Assarsson, Voichita D. Marinescu, Caroline J. Gallant and Ulf Landegren. Their work appears in journals such as BMC Bioinformatics, Cancer Research, Molecular Cancer Research, Scientific Reports and Cell Reports.

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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