Stefka Tyanova
- Spectroscopy top 0.2%
- Advanced Proteomics Techniques and Applications 16
- Mass Spectrometry Techniques and Applications 8
- Molecular Biology top 0.5%
- Metabolomics and Mass Spectrometry Studies 5
- Bioinformatics and Genomic Networks 2
- Cell Biology top 0.5%
- Endoplasmic Reticulum Stress and Disease 2
- Cancer Research top 2%
- Cancer, Lipids, and Metabolism 2
- Immunology top 2%
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- Neuroinflammation and Neurodegeneration Mechanisms 2
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- Autophagy in Disease and Therapy 2
- Co-authors
- Jüergen CoxMatthias MannJürgen CoxTamar GeigerPavel SinitcynMarco Y. HeinKirti SharmaDaniel N. Itzhak
- Partner nations
- GermanyDenmarkUnited States
In The Last Decade
Stefka Tyanova
24 papers receiving 11.8k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Spectroscopy 2.2k
- Molecular Biology 7.7k
- Cell Biology 1.5k
- Cancer Research 888
- Immunology 1.1k
Countries citing papers authored by Stefka Tyanova
This map shows the geographic impact of Stefka Tyanova'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 Stefka Tyanova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefka Tyanova more than expected).
Fields of papers citing papers by Stefka Tyanova
This network shows the impact of papers produced by Stefka Tyanova. 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 Stefka Tyanova. The network helps show where Stefka Tyanova may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stefka Tyanova, 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 | 0 | |
| 2 | 2023 | 9 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 14 | |
| 5 | 2022 | 8 | |
| 6 | 2018 | 66 | |
| 7 | 2018 | 34 | |
| 8 | Perseus: A Bioinformatics Platform for Integrative Analysis of Proteomics Data in Cancer Researchbreakdown → | 2018 | 374 |
| 9 | 2017 | 87 | |
| 10 | 2016 | 233 | |
| 11 | 2016 | 154 | |
| 12 | 2016 | 173 | |
| 13 | The Perseus computational platform for comprehensive analysis of (prote)omics databreakdown → | 2016 | 5384 |
| 14 | Global, quantitative and dynamic mapping of protein subcellular localizationbreakdown → | 2016 | 421 |
| 15 | 2015 | 107 | |
| 16 | Cell type– and brain region–resolved mouse brain proteomebreakdown → | 2015 | 557 |
| 17 | 2015 | 70 | |
| 18 | 2014 | 66 | |
| 19 | Ultradeep Human Phosphoproteome Reveals a Distinct Regulatory Nature of Tyr and Ser/Thr-Based Signalingbreakdown → | 2014 | 750 |
| 20 | 2013 | 50 |
About Stefka Tyanova
Stefka Tyanova is a scholar working on Spectroscopy, Molecular Biology and Neurology, having authored 25 papers that have together received 11.8k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (16 papers), Mass Spectrometry Techniques and Applications (8 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Cancer, Lipids, and Metabolism (2 papers), Bioinformatics and Genomic Networks (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Spectroscopy (2.2k citations), Molecular Biology (7.7k citations) and Cell Biology (1.5k citations). Stefka Tyanova has collaborated with scholars based in Germany, Denmark and United States. Frequent co-authors include Jüergen Cox, Matthias Mann, Jürgen Cox, Tamar Geiger, Pavel Sinitcyn, Marco Y. Hein, Kirti Sharma, Daniel N. Itzhak, Georg H. H. Borner and Jacek R. Wiśniewski. Their work appears in journals such as Nature Communications, Cell Reports, Nature Protocols, Nature Methods and Clinical Cancer Research.
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.