Linnea Stenbeck

2.2k total citations · 3 hit papers
7 papers, 1.2k citations indexed

About

Linnea Stenbeck is a scholar working on Molecular Biology, Biophysics and Artificial Intelligence. According to data from OpenAlex, Linnea Stenbeck has authored 7 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Biophysics and 1 paper in Artificial Intelligence. Recurrent topics in Linnea Stenbeck's work include Single-cell and spatial transcriptomics (6 papers), Cell Image Analysis Techniques (3 papers) and Gene expression and cancer classification (2 papers). Linnea Stenbeck is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), Cell Image Analysis Techniques (3 papers) and Gene expression and cancer classification (2 papers). Linnea Stenbeck collaborates with scholars based in Sweden, United States and Belgium. Linnea Stenbeck's co-authors include Åke Borg, Joakim Lundeberg, Ludvig Bergenstråhle, Fredrik Salmén, Jonas Frisén, Alma Andersson, Aviv Regev, Mostafa Ronaghi, Sanja Vicković and Tarmo Äijö and has published in prestigious journals such as Nature Communications, Nature Methods and Cancer Research.

In The Last Decade

Linnea Stenbeck

7 papers receiving 1.2k citations

Hit Papers

High-definition spatial transcriptomics for in situ tissu... 2019 2026 2021 2023 2019 2020 2021 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. High-definition spatial transcriptomics for in situ tissue profiling
    2019 705 citations Sanja Vicković, Gökçen Eraslan et al. Nature Methods profile →
  2. Integrating spatial gene expression and breast tumour morphology via deep learning
    2020 261 citations Bryan He, Ludvig Bergenstråhle et al. Nature Biomedical Engineering profile →
  3. Spatial deconvolution of HER2-positive breast cancer delineates tumor-associated cell type interactions
    2021 205 citations Alma Andersson, Ludvig Larsson et al. Nature Communications profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Linnea Stenbeck Sweden 5 965 255 240 198 153 7 1.2k
Ludvig Bergenstråhle Sweden 9 1.2k 1.2× 261 1.0× 274 1.1× 249 1.3× 127 0.8× 11 1.4k
Alma Andersson Sweden 11 951 1.0× 238 0.9× 269 1.1× 180 0.9× 131 0.9× 18 1.3k
Kieran R. Campbell Canada 13 1.0k 1.1× 271 1.1× 310 1.3× 140 0.7× 137 0.9× 27 1.4k
Joseph Bergenstråhle Sweden 10 1.1k 1.1× 295 1.2× 295 1.2× 194 1.0× 155 1.0× 11 1.4k
Artem Shmatko Germany 5 534 0.6× 256 1.0× 176 0.7× 154 0.8× 177 1.2× 5 1.1k
Adam Gayoso United States 9 1.4k 1.4× 276 1.1× 350 1.5× 318 1.6× 106 0.7× 14 1.6k
Gustavo Vazquez United States 4 665 0.7× 125 0.5× 214 0.9× 294 1.5× 184 1.2× 6 927
Mohammad Lotfollahi Germany 13 1.2k 1.3× 202 0.8× 242 1.0× 387 2.0× 66 0.4× 18 1.4k
Amanda Larson Gedman United States 6 976 1.0× 170 0.7× 475 2.0× 275 1.4× 263 1.7× 7 1.5k
Xun Zhu United States 14 947 1.0× 556 2.2× 101 0.4× 83 0.4× 122 0.8× 23 1.3k

Countries citing papers authored by Linnea Stenbeck

Since Specialization
Citations

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

Fields of papers citing papers by Linnea Stenbeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linnea Stenbeck

This figure shows the co-authorship network connecting the top 25 collaborators of Linnea Stenbeck. A scholar is included among the top collaborators of Linnea Stenbeck based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Linnea Stenbeck. Linnea Stenbeck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Wang, Xiaoxiao, David Venet, Denis Larsimont, et al.. (2022). 1711P Spatial transcriptomics reveals substantial heterogeneity in TNBC tumor and stroma compartments with potential clinical implications. Annals of Oncology. 33. S1321–S1322. 1 indexed citations
2.
Stenbeck, Linnea, et al.. (2022). Enabling automated and reproducible spatially resolved transcriptomics at scale. Heliyon. 8(6). e09651–e09651. 5 indexed citations
3.
Kvastad, Linda, Ludvig Larsson, Alexander Stuckey, et al.. (2021). The spatial RNA integrity number assay for in situ evaluation of transcriptome quality. Communications Biology. 4(1). 57–57. 21 indexed citations
4.
Andersson, Alma, Ludvig Larsson, Linnea Stenbeck, et al.. (2021). Spatial deconvolution of HER2-positive breast cancer delineates tumor-associated cell type interactions. Nature Communications. 12(1). 6012–6012. 205 indexed citations breakdown →
5.
Venet, David, Xiaoxiao Wang, Floriane Dupont, et al.. (2021). Abstract 609: Contribution of the tumor and stroma compartments for TNBC molecular classification using spatial transcriptomics analysis. Cancer Research. 81(13_Supplement). 609–609. 1 indexed citations
6.
He, Bryan, Ludvig Bergenstråhle, Linnea Stenbeck, et al.. (2020). Integrating spatial gene expression and breast tumour morphology via deep learning. Nature Biomedical Engineering. 4(8). 827–834. 261 indexed citations breakdown →
7.
Vicković, Sanja, Gökçen Eraslan, Fredrik Salmén, et al.. (2019). High-definition spatial transcriptomics for in situ tissue profiling. Nature Methods. 16(10). 987–990. 705 indexed citations breakdown →

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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