Fredrik Salmén

7.9k total citations · 3 hit papers
15 papers, 2.4k citations indexed

About

Fredrik Salmén is a scholar working on Molecular Biology, Cancer Research and Epidemiology. According to data from OpenAlex, Fredrik Salmén has authored 15 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Cancer Research and 1 paper in Epidemiology. Recurrent topics in Fredrik Salmén's work include Single-cell and spatial transcriptomics (11 papers), Molecular Biology Techniques and Applications (5 papers) and Cancer-related molecular mechanisms research (4 papers). Fredrik Salmén is often cited by papers focused on Single-cell and spatial transcriptomics (11 papers), Molecular Biology Techniques and Applications (5 papers) and Cancer-related molecular mechanisms research (4 papers). Fredrik Salmén collaborates with scholars based in Sweden, Netherlands and United States. Fredrik Salmén's co-authors include Joakim Lundeberg, Patrik L. Ståhl, José Fernández Navarro, Sanja Vicković, Jonas Frisén, Ludvig Larsson, Åke Borg, Linnea Stenbeck, Mostafa Ronaghi and Tarmo Äijö and has published in prestigious journals such as Cell, Nature Communications and Nature Biotechnology.

In The Last Decade

Fredrik Salmén

15 papers receiving 2.4k citations

Hit Papers

High-definition spatial transcriptomics for in situ tissu... 2019 2026 2021 2023 2019 2019 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. A Spatiotemporal Organ-Wide Gene Expression and Cell Atlas of the Developing Human Heart
    2019 442 citations Michaela Asp, Stefania Giacomello et al. Cell 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
Fredrik Salmén Sweden 14 2.0k 524 438 315 268 15 2.4k
Ludvig Larsson Sweden 20 1.7k 0.8× 420 0.8× 429 1.0× 262 0.8× 246 0.9× 31 2.2k
Ruben Dries United States 12 2.1k 1.1× 319 0.6× 373 0.9× 413 1.3× 323 1.2× 25 2.5k
Sanja Vicković Sweden 14 1.6k 0.8× 381 0.7× 348 0.8× 238 0.8× 214 0.8× 18 2.0k
Dalia Barkley United States 5 1.4k 0.7× 453 0.9× 435 1.0× 200 0.6× 380 1.4× 6 1.8k
Valentina Proserpio Italy 12 2.3k 1.1× 546 1.0× 633 1.4× 273 0.9× 263 1.0× 20 2.8k
Laleh Haghverdi Germany 9 2.5k 1.3× 491 0.9× 637 1.5× 557 1.8× 250 0.9× 14 3.1k
Maren Büttner Germany 16 2.2k 1.1× 422 0.8× 489 1.1× 514 1.6× 240 0.9× 27 2.7k
Robrecht Cannoodt Belgium 10 1.9k 1.0× 403 0.8× 561 1.3× 326 1.0× 237 0.9× 20 2.5k
Malte D. Luecken Germany 11 1.8k 0.9× 394 0.8× 435 1.0× 387 1.2× 164 0.6× 18 2.2k
Marco Mignardi Sweden 11 1.4k 0.7× 452 0.9× 604 1.4× 187 0.6× 249 0.9× 17 2.2k

Countries citing papers authored by Fredrik Salmén

Since Specialization
Citations

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

Fields of papers citing papers by Fredrik Salmén

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fredrik Salmén

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

All Works

15 of 15 papers shown
1.
Leeuwen, Wessel van, Michael VanInsberghe, Nico Battich, et al.. (2022). Identification of the stress granule transcriptome via RNA-editing in single cells and in vivo. Cell Reports Methods. 2(6). 100235–100235. 16 indexed citations
2.
Salmén, Fredrik, Joachim De Jonghe, Tomasz S. Kamiński, et al.. (2022). High-throughput total RNA sequencing in single cells using VASA-seq. Nature Biotechnology. 40(12). 1780–1793. 129 indexed citations
3.
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 →
4.
Yoosuf, Niyaz, José Fernández Navarro, Fredrik Salmén, Patrik L. Ståhl, & Carsten O. Daub. (2020). Identification and transfer of spatial transcriptomics signatures for cancer diagnosis. Breast Cancer Research. 22(1). 6–6. 62 indexed citations
5.
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 →
6.
Asp, Michaela, Stefania Giacomello, Ludvig Larsson, et al.. (2019). A Spatiotemporal Organ-Wide Gene Expression and Cell Atlas of the Developing Human Heart. Cell. 179(7). 1647–1660.e19. 442 indexed citations breakdown →
7.
Berglund, Emelie, Jonas Maaskola, Niklas Schultz, et al.. (2018). Spatial maps of prostate cancer transcriptomes reveal an unexplored landscape of heterogeneity. Nature Communications. 9(1). 2419–2419. 343 indexed citations
8.
Lundmark, Anna, Natalija Gerasimčik, Tove Båge, et al.. (2018). Gene expression profiling of periodontitis-affected gingival tissue by spatial transcriptomics. Scientific Reports. 8(1). 9370–9370. 51 indexed citations
9.
Salmén, Fredrik, Patrik L. Ståhl, Annelie Mollbrink, et al.. (2018). Barcoded solid-phase RNA capture for Spatial Transcriptomics profiling in mammalian tissue sections. Nature Protocols. 13(11). 2501–2534. 132 indexed citations
10.
Asp, Michaela, Stefania Giacomello, Daniel Fürth, et al.. (2018). An Organ-Wide Gene Expression Atlas of the Developing Human Heart. SSRN Electronic Journal. 1 indexed citations
11.
Giacomello, Stefania, Fredrik Salmén, Barbara K. Terebieniec, et al.. (2017). Spatially resolved transcriptome profiling in model plant species. Nature Plants. 3(6). 17061–17061. 135 indexed citations
12.
Navarro, José Fernández, J. Sjöstrand, Fredrik Salmén, Joakim Lundeberg, & Patrik L. Ståhl. (2017). ST Pipeline: an automated pipeline for spatial mapping of unique transcripts. Bioinformatics. 33(16). 2591–2593. 58 indexed citations
13.
Asp, Michaela, Fredrik Salmén, Patrik L. Ståhl, et al.. (2017). Spatial detection of fetal marker genes expressed at low level in adult human heart tissue. Scientific Reports. 7(1). 12941–12941. 55 indexed citations
14.
Jemt, Anders, Fredrik Salmén, Anna Lundmark, et al.. (2016). An automated approach to prepare tissue-derived spatially barcoded RNA-sequencing libraries. Scientific Reports. 6(1). 37137–37137. 49 indexed citations
15.
Vicković, Sanja, Patrik L. Ståhl, Fredrik Salmén, et al.. (2016). Massive and parallel expression profiling using microarrayed single-cell sequencing. Nature Communications. 7(1). 13182–13182. 32 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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