Sanja Vicković

9.6k total citations · 2 hit papers
18 papers, 2.0k citations indexed

About

Sanja Vicković is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Sanja Vicković has authored 18 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Genetics. Recurrent topics in Sanja Vicković's work include Single-cell and spatial transcriptomics (11 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Molecular Biology Techniques and Applications (3 papers). Sanja Vicković is often cited by papers focused on Single-cell and spatial transcriptomics (11 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Molecular Biology Techniques and Applications (3 papers). Sanja Vicković collaborates with scholars based in Sweden, United States and Germany. Sanja Vicković's co-authors include Joakim Lundeberg, Patrik L. Ståhl, Fredrik Salmén, Aviv Regev, José Fernández Navarro, Jonas Frisén, Tarmo Äijö, Richard Bonneau, Johanna Klughammer and Denis Schapiro and has published in prestigious journals such as Science, Nature Communications and Nature Biotechnology.

In The Last Decade

Sanja Vicković

17 papers receiving 2.0k citations

Hit Papers

High-definition spatial transcriptomics for in situ tissu... 2019 2026 2021 2023 2019 2019 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanja Vicković Sweden 14 1.6k 381 348 238 214 18 2.0k
José Fernández Navarro Sweden 16 1.7k 1.1× 297 0.8× 368 1.1× 281 1.2× 154 0.7× 18 2.0k
Tarmo Äijö United States 18 1.8k 1.1× 351 0.9× 1.2k 3.5× 173 0.7× 578 2.7× 34 3.0k
Fredrik Salmén Sweden 14 2.0k 1.3× 524 1.4× 438 1.3× 315 1.3× 268 1.3× 15 2.4k
Åsa Segerstolpe United States 11 1.6k 1.0× 346 0.9× 274 0.8× 140 0.6× 240 1.1× 20 2.5k
Maryam Clausen Sweden 15 1.4k 0.9× 271 0.7× 237 0.7× 88 0.4× 129 0.6× 21 2.1k
David R. Croucher Australia 24 1.3k 0.8× 486 1.3× 232 0.7× 39 0.2× 507 2.4× 47 2.1k
Tapio Lönnberg Finland 16 1.0k 0.6× 259 0.7× 687 2.0× 72 0.3× 378 1.8× 34 1.6k
Ricardo O. Ramirez Flores Germany 11 758 0.5× 147 0.4× 250 0.7× 106 0.4× 141 0.7× 17 1.1k
Delasa Aghamirzaie United States 9 1.6k 1.0× 325 0.9× 213 0.6× 188 0.8× 101 0.5× 12 1.9k
Zhengyan Kan United States 15 3.1k 1.9× 593 1.6× 572 1.6× 55 0.2× 612 2.9× 28 3.9k

Countries citing papers authored by Sanja Vicković

Since Specialization
Citations

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

Fields of papers citing papers by Sanja Vicković

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanja Vicković

This figure shows the co-authorship network connecting the top 25 collaborators of Sanja Vicković. A scholar is included among the top collaborators of Sanja Vicković 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 Sanja Vicković. Sanja Vicković 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.
Äijö, Tarmo, Britta Lötstedt, Nemanja D. Marjanovic, et al.. (2025). Tissue and cellular spatiotemporal dynamics in colon aging. Nature Biotechnology.
2.
Lötstedt, Britta, Martin Stražar, Ramnik J. Xavier, Aviv Regev, & Sanja Vicković. (2023). Spatial host–microbiome sequencing reveals niches in the mouse gut. Nature Biotechnology. 42(9). 1394–1403. 64 indexed citations
3.
Schapiro, Denis, et al.. (2023). In silico tissue generation and power analysis for spatial omics. Nature Methods. 20(3). 424–431. 28 indexed citations
4.
Theis, Fabian J., Daniel Dar, Sanja Vicković, et al.. (2023). What do you most hope spatial molecular profiling will help us understand? Part 1. Cell Systems. 14(6). 423–427. 3 indexed citations
5.
Vicković, Sanja, Britta Lötstedt, Johanna Klughammer, et al.. (2022). SM-Omics is an automated platform for high-throughput spatial multi-omics. Nature Communications. 13(1). 795–795. 117 indexed citations
6.
Vicković, Sanja, Denis Schapiro, Britta Lötstedt, et al.. (2022). Three-dimensional spatial transcriptomics uncovers cell type localizations in the human rheumatoid arthritis synovium. Communications Biology. 5(1). 129–129. 44 indexed citations
7.
Maniatis, Silas, Tarmo Äijö, Sanja Vicković, et al.. (2019). Spatiotemporal dynamics of molecular pathology in amyotrophic lateral sclerosis. Science. 364(6435). 89–93. 276 indexed citations breakdown →
8.
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 →
9.
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
10.
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
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.
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
13.
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
14.
Vicković, Sanja, Afshin Ahmadian, Rolf Lewensohn, & Joakim Lundeberg. (2015). Toward Rare Blood Cell Preservation for RNA Sequencing. Journal of Molecular Diagnostics. 17(4). 352–359. 3 indexed citations
15.
Kvastad, Linda, Beata Werne Solnestam, Emil Johansson, et al.. (2015). Single cell analysis of cancer cells using an improved RT-MLPA method has potential for cancer diagnosis and monitoring. Scientific Reports. 5(1). 16519–16519. 22 indexed citations
16.
Vicković, Sanja, et al.. (2014). Parallel barcoding of antibodies for DNA ‐assisted proteomics. PROTEOMICS. 14(21-22). 2432–2436. 6 indexed citations
17.
Gršković, Branka, et al.. (2013). DNA methylation: the future of crime scene investigation?. Molecular Biology Reports. 40(7). 4349–4360. 17 indexed citations
18.
Vicković, Sanja, et al.. (2013). Magnetic bead assisted labeling of antibodies at nanogram scale. PROTEOMICS. 14(1). 14–18. 14 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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