Maja Šolman
Impact in
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- Galectins and Cancer Biology
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- Protein Kinase Regulation and GTPase Signaling
- Protein Tyrosine Phosphatases
- Lipid Membrane Structure and Behavior
- PI3K/AKT/mTOR signaling in cancer
- Melanoma and MAPK Pathways
Papers in
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- Galectins and Cancer Biology 5
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- Protein Tyrosine Phosphatases 5
- Protein Kinase Regulation and GTPase Signaling 4
- Cell death mechanisms and regulation 2
- Melanoma and MAPK Pathways 2
- PI3K/AKT/mTOR signaling in cancer 2
- Glycosylation and Glycoproteins Research 1
- RNA modifications and cancer 1
- Co-authors
- Daniel Abankwa (6 shared papers)Olga Blaževitš (3 shared papers)Alessio Ligabue (3 shared papers)Camilo Guzmán (3 shared papers)Mohammad Reza Ahmadian (1 shared paper)Christian Eggeling (1 shared paper)Débora M. Andrade (1 shared paper)Alfred Wittinghofer (1 shared paper)
- Journals
- eLife (2 papers)Journal of Biological Chemistry (1 paper)Journal of Medicinal Chemistry (1 paper)The EMBO Journal (1 paper)Frontiers in Cell and Developmental Biology (1 paper)
- Partner nations
- FinlandNetherlandsGermany
In The Last Decade
Maja Šolman
11 papers receiving 299 citations
Peers
Comparison fields: 5 of 48
- Immunology 80
- Molecular Biology 256
- Cell Biology 56
- Biophysics 14
- Toxicology 7
Countries citing papers authored by Maja Šolman
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 64 | |
| 2 | 2014 | 44 | |
| 3 | 2015 | 42 | |
| 4 | 2021 | 39 | |
| 5 | 2013 | 26 | |
| 6 | 2019 | 24 | |
| 7 | 2022 | 20 | |
| 8 | 2018 | 16 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 8 | |
| 11 | 2013 | 7 |
About Maja Šolman
Maja Šolman is a scholar working on Immunology, Molecular Biology, Cell Biology, Oncology and Physiology, having authored 11 papers that have together received 301 indexed citations. Recurring topics across this work include Galectins and Cancer Biology (5 papers), Protein Tyrosine Phosphatases (5 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Cell death mechanisms and regulation (2 papers), Melanoma and MAPK Pathways (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Glycosylation and Glycoproteins Research (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Immunology (80 citations), Molecular Biology (256 citations), Cell Biology (56 citations), Biophysics (14 citations) and Toxicology (7 citations). Maja Šolman has collaborated with scholars based in Finland, Netherlands and Germany. Frequent co-authors include Daniel Abankwa, Olga Blaževitš, Alessio Ligabue, Camilo Guzmán, Mohammad Reza Ahmadian, Christian Eggeling, Débora M. Andrade, Alfred Wittinghofer, Luc Reymond and Nicholas Ariotti. Their work appears in journals such as eLife, Journal of Biological Chemistry, Journal of Medicinal Chemistry, The EMBO Journal and Frontiers in Cell and Developmental Biology.
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.