Maja Špiritović
- Modeling and Simulation top 2%
- Biomedical Engineering top 5%
- Materials Chemistry top 10%
- Biomaterials top 10%
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- Systemic Sclerosis and Related Diseases 16
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- Inflammatory Myopathies and Dermatomyositis 15
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- Fibromyalgia and Chronic Fatigue Syndrome Research 8
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- Muscle Physiology and Disorders 8
- Connective Tissue Growth Factor Research 3
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- Spondyloarthritis Studies and Treatments 4
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- Dermatologic Treatments and Research 3
- Skin Diseases and Diabetes 3
- Co-authors
- Karel PavelkáLadislav ŠenoltMichal TomčíkJiří VencovskýHana ŠtorkánováSabína OreskáBarbora HeřmánkováMartin Komarc
- Partner nations
- CzechiaSlovakiaUnited States
In The Last Decade
Maja Špiritović
38 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 216
- Modeling and Simulation 144
- Biomedical Engineering 803
- Materials Chemistry 491
- Biomaterials 138
- Radiology, Nuclear Medicine and Imaging 241
Countries citing papers authored by Maja Špiritović
This map shows the geographic impact of Maja Špiritović'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 Špiritović with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maja Špiritović more than expected).
Fields of papers citing papers by Maja Špiritović
This network shows the impact of papers produced by Maja Špiritović. 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 Špiritović. The network helps show where Maja Špiritović may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maja Špiritović, 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 9 | |
| 5 | 2022 | 6 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 6 | |
| 9 | 2022 | 4 | |
| 10 | 2021 | 8 | |
| 11 | 2021 | 2 | |
| 12 | 2021 | 16 | |
| 13 | Plasma Hsp90 levels in patients with systemic sclerosis and relation to lung and skin involvement: a cross-sectional and longitudinal studybreakdown → | 2021 | 4074 |
| 14 | 2020 | 3 | |
| 15 | 2020 | 1 | |
| 16 | 2019 | 17 | |
| 17 | 2017 | 15 | |
| 18 | 2017 | 7 | |
| 19 | 2016 | 43 | |
| 20 | 2015 | 30 |
About Maja Špiritović
Maja Špiritović is a scholar working on Pathology and Forensic Medicine, Dermatology and Rheumatology, having authored 39 papers that have together received 4.3k indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (16 papers), Inflammatory Myopathies and Dermatomyositis (15 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (8 papers), Muscle Physiology and Disorders (8 papers), Spondyloarthritis Studies and Treatments (4 papers), Connective Tissue Growth Factor Research (3 papers), Dermatologic Treatments and Research (3 papers) and Skin Diseases and Diabetes (3 papers). The work is most often cited by research in Modeling and Simulation (144 citations), Biomedical Engineering (803 citations) and Materials Chemistry (491 citations). Maja Špiritović has collaborated with scholars based in Czechia, Slovakia and United States. Frequent co-authors include Karel Pavelká, Ladislav Šenolt, Michal Tomčík, Jiří Vencovský, Hana Štorkánová, Sabína Oreská, Barbora Heřmánková, Martin Komarc, Radim Bečvář and Jörg H. W. Distler. Their work appears in journals such as The Journal of Physiology, Scientific Reports and The FASEB Journal.
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.