Nadezhda T. Doncheva
- Cancer Research top 0.1%
- Molecular Biology top 0.1%
- Bioinformatics and Genomic Networks 16
- Gene expression and cancer classification 4
- Protein Structure and Dynamics 3
- Biomedical Text Mining and Ontologies 3
- Biological Psychiatry top 1%
- Immunology top 0.5%
- Pharmacology top 0.1%
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- Advanced Proteomics Techniques and Applications 7
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- Computational Drug Discovery Methods 3
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- Complex Network Analysis Techniques 3
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- HIV Research and Treatment 2
- Co-authors
- Lars Juhl JensenDamian SzklarczykChristian von MeringPeer BorkJohn H. MorrisAnnika L. GableDavid LyonStefan Wyder
- Journals
- Nucleic Acids Research (7 papers)Journal of Biological Chemistry (1 paper)Nature Communications (1 paper)
- Partner nations
- DenmarkGermanyUnited States
In The Last Decade
Nadezhda T. Doncheva
31 papers receiving 28.2k citations
Hit Papers
Peers
Comparison fields: 5 of 189
- Cancer Research 4.5k
- Molecular Biology 17.1k
- Biological Psychiatry 421
- Immunology 3.2k
- Pharmacology 1.3k
Countries citing papers authored by Nadezhda T. Doncheva
This map shows the geographic impact of Nadezhda T. Doncheva'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 Nadezhda T. Doncheva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadezhda T. Doncheva more than expected).
Fields of papers citing papers by Nadezhda T. Doncheva
This network shows the impact of papers produced by Nadezhda T. Doncheva. 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 Nadezhda T. Doncheva. The network helps show where Nadezhda T. Doncheva may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nadezhda T. Doncheva, 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 | The STRING database in 2025: protein networks with directionality of regulationbreakdown → | 2024 | 93 |
| 3 | 2024 | 8 | |
| 4 | 2024 | 13 | |
| 5 | 2024 | 2 | |
| 6 | 2022 | 99 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 35 | |
| 9 | 2022 | 12 | |
| 10 | 2022 | 9 | |
| 11 | 2021 | 3 | |
| 12 | 2020 | 14 | |
| 13 | 2018 | 103 | |
| 14 | Cytoscape StringApp: Network Analysis and Visualization of Proteomics Databreakdown → | 2018 | 1374 |
| 15 | STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasetsbreakdown → | 2018 | 11663 |
| 16 | The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessiblebreakdown → | 2016 | 5222 |
| 17 | 2014 | 9 | |
| 18 | 2013 | 50 | |
| 19 | 2012 | 42 | |
| 20 | 2012 | 374 |
About Nadezhda T. Doncheva
Nadezhda T. Doncheva is a scholar working on Spectroscopy, Virology and Molecular Biology, having authored 33 papers that have together received 28.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (16 papers), Advanced Proteomics Techniques and Applications (7 papers), Gene expression and cancer classification (4 papers), Protein Structure and Dynamics (3 papers), Biomedical Text Mining and Ontologies (3 papers), Computational Drug Discovery Methods (3 papers), Complex Network Analysis Techniques (3 papers) and HIV Research and Treatment (2 papers). The work is most often cited by research in Cancer Research (4.5k citations), Molecular Biology (17.1k citations) and Biological Psychiatry (421 citations). Nadezhda T. Doncheva has collaborated with scholars based in Denmark, Germany and United States. Frequent co-authors include Lars Juhl Jensen, Damian Szklarczyk, Christian von Mering, Peer Bork, John H. Morris, Annika L. Gable, David Lyon, Stefan Wyder, Milan Simonovic and Jaime Huerta‐Cepas. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry 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.