Nadejda M. Tsankova
- Genetics top 2%
- Glioma Diagnosis and Treatment 30
- Developmental Neuroscience top 5%
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms 5
- Cancer Research top 10%
- MicroRNA in disease regulation 9
- Cancer Genomics and Diagnostics 6
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- Radiomics and Machine Learning in Medical Imaging 8
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- Single-cell and spatial transcriptomics 6
- Epigenetics and DNA Methylation 5
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- Cancer Immunotherapy and Biomarkers 5
- Co-authors
- Jessica Tomé-GarcíaAlexander M. TsankovXiaoping WuJames E. GoldmanGuy M. McKhannAlexander A. SosunovRoland H. FriedelRaymund L. Yong
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Nadejda M. Tsankova
57 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 98
- Genetics 351
- Developmental Neuroscience 79
- Neurology 143
- Cancer Research 189
- Cellular and Molecular Neuroscience 155
Countries citing papers authored by Nadejda M. Tsankova
This map shows the geographic impact of Nadejda M. Tsankova'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 Nadejda M. Tsankova with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadejda M. Tsankova more than expected).
Fields of papers citing papers by Nadejda M. Tsankova
This network shows the impact of papers produced by Nadejda M. Tsankova. 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 Nadejda M. Tsankova. The network helps show where Nadejda M. Tsankova may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nadejda M. Tsankova, 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 | 2 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 3 | |
| 6 | 2023 | 19 | |
| 7 | 2023 | 32 | |
| 8 | 2023 | 15 | |
| 9 | 2023 | 6 | |
| 10 | 2022 | 23 | |
| 11 | 2022 | 69 | |
| 12 | 2021 | 10 | |
| 13 | 2021 | 5 | |
| 14 | 2020 | 8 | |
| 15 | 2020 | 21 | |
| 16 | 2018 | 6 | |
| 17 | 2018 | 61 | |
| 18 | 2017 | 16 | |
| 19 | 2014 | 10 | |
| 20 | 2010 | 15 |
About Nadejda M. Tsankova
Nadejda M. Tsankova is a scholar working on Genetics, Cancer Research and Neurology, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (30 papers), MicroRNA in disease regulation (9 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Single-cell and spatial transcriptomics (6 papers), Cancer Genomics and Diagnostics (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (5 papers), Epigenetics and DNA Methylation (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). The work is most often cited by research in Genetics (351 citations), Developmental Neuroscience (79 citations) and Neurology (143 citations). Nadejda M. Tsankova has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Jessica Tomé-García, Alexander M. Tsankov, Xiaoping Wu, James E. Goldman, Guy M. McKhann, Alexander A. Sosunov, Roland H. Friedel, Raymund L. Yong, Rut Tejero and Adı́lia Hormigo. Their work appears in journals such as Nature, Nucleic Acids Research and Nature Communications.
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.