Maja Marklund

1.1k total citations
4 papers, 422 citations indexed

About

Maja Marklund is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Maja Marklund has authored 4 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 1 paper in Pulmonary and Respiratory Medicine and 1 paper in Artificial Intelligence. Recurrent topics in Maja Marklund's work include Molecular Biology Techniques and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Advanced Biosensing Techniques and Applications (1 paper). Maja Marklund is often cited by papers focused on Molecular Biology Techniques and Applications (3 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Advanced Biosensing Techniques and Applications (1 paper). Maja Marklund collaborates with scholars based in Sweden, United Kingdom and Finland. Maja Marklund's co-authors include Patrik L. Ståhl, Anna Tanoglidi, Joakim Lundeberg, Stefanie Friedrich, Emelie Berglund, Thomas Helleday, Niklas Schultz, Erik L. L. Sonnhammer, Firas Tarish and Ludvig Larsson and has published in prestigious journals such as Nature Communications, Nature Biotechnology and Cancers.

In The Last Decade

Maja Marklund

4 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maja Marklund Sweden 4 323 143 81 79 63 4 422
Stefanie Friedrich Sweden 5 380 1.2× 138 1.0× 76 0.9× 69 0.9× 59 0.9× 6 472
Emelie Berglund Sweden 4 296 0.9× 133 0.9× 77 1.0× 68 0.9× 61 1.0× 7 396
Anna Tanoglidi Sweden 7 318 1.0× 148 1.0× 115 1.4× 75 0.9× 111 1.8× 9 476
Firas Tarish Sweden 4 299 0.9× 140 1.0× 106 1.3× 68 0.9× 108 1.7× 4 418
Kim Thrane Sweden 6 350 1.1× 114 0.8× 73 0.9× 113 1.4× 21 0.3× 10 429
Sunil R. Lakhani Australia 8 200 0.6× 84 0.6× 63 0.8× 40 0.5× 52 0.8× 14 306
Connor A. Jacobson United States 7 178 0.6× 72 0.5× 133 1.6× 105 1.3× 17 0.3× 8 312
Satoi Nagasawa Japan 9 280 0.9× 117 0.8× 77 1.0× 40 0.5× 21 0.3× 16 379
Tuulia Vallius United States 8 129 0.4× 84 0.6× 160 2.0× 101 1.3× 39 0.6× 16 405
Benedict Anchang United States 7 253 0.8× 95 0.7× 122 1.5× 55 0.7× 19 0.3× 18 378

Countries citing papers authored by Maja Marklund

Since Specialization
Citations

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

Fields of papers citing papers by Maja Marklund

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maja Marklund

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

All Works

4 of 4 papers shown
1.
Llorens-Bobadilla, Enric, Margherita Zamboni, Maja Marklund, et al.. (2023). Solid-phase capture and profiling of open chromatin by spatial ATAC. Nature Biotechnology. 41(8). 1085–1088. 51 indexed citations
2.
Marklund, Maja, Niklas Schultz, Stefanie Friedrich, et al.. (2022). Spatio-temporal analysis of prostate tumors in situ suggests pre-existence of treatment-resistant clones. Nature Communications. 13(1). 5475–5475. 8 indexed citations
3.
Avenel, Christophe, Kimmo Kartasalo, Maja Marklund, et al.. (2021). Morphological Features Extracted by AI Associated with Spatial Transcriptomics in Prostate Cancer. Cancers. 13(19). 4837–4837. 20 indexed citations
4.
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

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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