Alma Andersson

4.7k total citations · 2 hit papers
18 papers, 1.3k citations indexed

About

Alma Andersson is a scholar working on Molecular Biology, Artificial Intelligence and Immunology. According to data from OpenAlex, Alma Andersson has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 3 papers in Artificial Intelligence and 3 papers in Immunology. Recurrent topics in Alma Andersson's work include Single-cell and spatial transcriptomics (11 papers), Molecular Biology Techniques and Applications (3 papers) and AI in cancer detection (3 papers). Alma Andersson is often cited by papers focused on Single-cell and spatial transcriptomics (11 papers), Molecular Biology Techniques and Applications (3 papers) and AI in cancer detection (3 papers). Alma Andersson collaborates with scholars based in Sweden, United States and Austria. Alma Andersson's co-authors include Joakim Lundeberg, Ludvig Bergenstråhle, Åke Borg, Linnea Stenbeck, Joseph Bergenstråhle, José Fernández Navarro, Michaela Asp, Aleksandra Jurek, Ludvig Larsson and Bryan He and has published in prestigious journals such as Science, Nature Communications and Nature Neuroscience.

In The Last Decade

Alma Andersson

18 papers receiving 1.3k citations

Hit Papers

Integrating spatial gene expression and breast tumour mor... 2020 2026 2022 2024 2020 2021 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alma Andersson Sweden 11 951 269 238 180 131 18 1.3k
Ludvig Bergenstråhle Sweden 9 1.2k 1.2× 274 1.0× 261 1.1× 249 1.4× 127 1.0× 11 1.4k
Nicola Johnson United Kingdom 12 509 0.5× 400 1.5× 534 2.2× 68 0.4× 239 1.8× 17 1.5k
Olivier Poirion United States 13 1.1k 1.2× 97 0.4× 488 2.1× 106 0.6× 177 1.4× 22 1.7k
Pascale Maillé France 18 644 0.7× 199 0.7× 322 1.4× 61 0.3× 305 2.3× 39 1.6k
Linnea Stenbeck Sweden 5 965 1.0× 240 0.9× 255 1.1× 198 1.1× 153 1.2× 7 1.2k
Yu‐Chiao Chiu United States 23 1.1k 1.1× 95 0.4× 540 2.3× 54 0.3× 127 1.0× 65 1.5k
Victoria Bingham United Kingdom 22 581 0.6× 122 0.5× 257 1.1× 52 0.3× 430 3.3× 46 1.4k
Artem Shmatko Germany 5 534 0.6× 176 0.7× 256 1.1× 154 0.9× 177 1.4× 5 1.1k
Uta Jütting Germany 19 546 0.6× 138 0.5× 130 0.5× 60 0.3× 505 3.9× 54 1.3k
Lana X. Garmire United States 10 713 0.7× 63 0.2× 348 1.5× 60 0.3× 101 0.8× 22 1.1k

Countries citing papers authored by Alma Andersson

Since Specialization
Citations

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

Fields of papers citing papers by Alma Andersson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alma Andersson

This figure shows the co-authorship network connecting the top 25 collaborators of Alma Andersson. A scholar is included among the top collaborators of Alma Andersson 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 Alma Andersson. Alma Andersson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Bergenstråhle, Ludvig, et al.. (2024). Spatial landmark detection and tissue registration with deep learning. Nature Methods. 21(4). 673–679. 13 indexed citations
2.
Li, Xiaofei, Žaneta Andrusivová, Paulo Czarnewski, et al.. (2023). Profiling spatiotemporal gene expression of the developing human spinal cord and implications for ependymoma origin. Nature Neuroscience. 26(5). 891–901. 22 indexed citations
3.
Engblom, Camilla, Kim Thrane, Alma Andersson, et al.. (2023). Spatial transcriptomics of B cell and T cell receptors reveals lymphocyte clonal dynamics. Science. 382(6675). eadf8486–eadf8486. 59 indexed citations
4.
Westerlund, Annie M., et al.. (2022). Markov state modelling reveals heterogeneous drug-inhibition mechanism of Calmodulin. PLoS Computational Biology. 18(10). e1010583–e1010583. 1 indexed citations
5.
Bergenstråhle, Ludvig, Bryan He, Joseph Bergenstråhle, et al.. (2021). Super-resolved spatial transcriptomics by deep data fusion. Nature Biotechnology. 40(4). 476–479. 90 indexed citations
6.
Wu, Sunny Z., Daniel Roden, Ghamdan Al‐Eryani, et al.. (2021). An integrated multi-omic cellular atlas of human breast cancers.. Cancer Research. 81(13). 1 indexed citations
7.
Andersson, Alma, Sami Saarenpää, Ludvig Larsson, et al.. (2021). Spatial Transcriptomics to define transcriptional patterns of zonation and structural components in the mouse liver. Nature Communications. 12(1). 7046–7046. 112 indexed citations
8.
Larsson, Ludvig, Reza Mirzazadeh, Linda Kvastad, et al.. (2021). Genome-wide spatial expression profiling in formalin-fixed tissues. Cell Genomics. 1(3). 100065–100065. 66 indexed citations
9.
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 →
10.
Wu, Sunny Z., Daniel Roden, Ghamdan Al‐Eryani, et al.. (2021). Abstract 129: An integrated multi-omic cellular atlas of human breast cancers. Cancer Research. 81(13_Supplement). 129–129. 2 indexed citations
11.
Bäckdahl, Jesper, Lovisa Franzén, Lucas Massier, et al.. (2021). Spatial mapping reveals human adipocyte subpopulations with distinct sensitivities to insulin. Cell Metabolism. 33(9). 1869–1882.e6. 138 indexed citations
12.
Andersson, Alma & Joakim Lundeberg. (2021). sepal: identifying transcript profiles with spatial patterns by diffusion-based modeling. Bioinformatics. 37(17). 2644–2650. 38 indexed citations
13.
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 →
14.
Andersson, Alma, Sami Saarenpää, Ludvig Larsson, et al.. (2020). Spatial Transcriptomics to define transcriptional patterns of zonation and structural components in the mouse liver. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
15.
Andersson, Alma, Joseph Bergenstråhle, Michaela Asp, et al.. (2020). Single-cell and spatial transcriptomics enables probabilistic inference of cell type topography. Communications Biology. 3(1). 565–565. 262 indexed citations
16.
Andersson, Alma, Sami Saarenpää, Ludvig Larsson, et al.. (2020). Spatial Transcriptomics to define transcriptional patterns of zonation and structural components in the liver. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
17.
Andersson, Alma, Marina A. Kasimova, & Lucie Delemotte. (2018). Exploring the Viral Channel KcvPBCV-1 Function via Computation. The Journal of Membrane Biology. 251(3). 419–430. 7 indexed citations
18.
Wissel, Kirsten, Alma Andersson, Johanna Keskitalo, et al.. (2001). Functional genomics of Populus leaves. Photosynthesis Research. 69. 273. 1 indexed citations

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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