Maja Šolman

402 citations
8 papers · 216 · h-index 8

Impact in

    • Cellular transport and secretion
    • Protein Kinase Regulation and GTPase Signaling
    • Lipid Membrane Structure and Behavior
    • Protein Tyrosine Phosphatases
    • Cell death mechanisms and regulation
    • Glycosylation and Glycoproteins Research
    • Melanoma and MAPK Pathways

Papers in

    • Protein Kinase Regulation and GTPase Signaling 3
    • Cell death mechanisms and regulation 2
    • Protein Tyrosine Phosphatases 2
    • Glycosylation and Glycoproteins Research 1
    • Melanoma and MAPK Pathways 1
    • Galectins and Cancer Biology 3
    • Immunotherapy and Immune Responses 1

Maja Šolman

8 papers receiving 216 citations

Peers

Maja Šolman
Comparison fields: 5 of 40
  • Cell Biology 52
  • Molecular Biology 184
  • Immunology 53
  • Biophysics 11
  • Pathology and Forensic Medicine 15
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Citations per field
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Ricardo Rodriguez-Enriquez · 1×
Citations per year

Countries citing papers authored by Maja Šolman

Since Specialization
Citations

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

Fields of papers citing papers by Maja Šolman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maja Šolman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maja Šolman Line = papers co-authored together Maja Šolman links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 201663
2 201541
3 201439
4 201326
5 202217
6 201816
7 20227
8 20137

About Maja Šolman

Maja Šolman is a scholar working on Molecular Biology, Immunology, Oncology, Cell Biology and Physiology, having authored 8 papers that have together received 216 indexed citations. Recurring topics across this work include Galectins and Cancer Biology (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Cell death mechanisms and regulation (2 papers), Protein Tyrosine Phosphatases (2 papers), Glycosylation and Glycoproteins Research (1 paper), Immunotherapy and Immune Responses (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Cell Biology (52 citations), Molecular Biology (184 citations), Immunology (53 citations), Biophysics (11 citations) and Pathology and Forensic Medicine (15 citations). Maja Šolman has collaborated with scholars based in Finland, Germany and Australia. Frequent co-authors include Daniel Abankwa, Alessio Ligabue, Olga Blaževitš, Camilo Guzmán, Alfred Wittinghofer, Eyad K. Fansa, Nicholas Ariotti, Anastassios C. Papageorgiou, Mohammad Reza Ahmadian and Débora M. Andrade. Their work appears in journals such as eLife, PLoS ONE, Frontiers in Cell and Developmental Biology, The EMBO Journal and Journal of Biological Chemistry.

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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