Nadezhda T. Doncheva

48.5k total citations · 7 hit papers
33 papers, 28.4k citations indexed

About

Nadezhda T. Doncheva is a scholar working on Molecular Biology, Spectroscopy and Cancer Research. According to data from OpenAlex, Nadezhda T. Doncheva has authored 33 papers receiving a total of 28.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 7 papers in Spectroscopy and 5 papers in Cancer Research. Recurrent topics in Nadezhda T. Doncheva's work include Bioinformatics and Genomic Networks (16 papers), Advanced Proteomics Techniques and Applications (7 papers) and Gene expression and cancer classification (4 papers). Nadezhda T. Doncheva is often cited by papers focused on Bioinformatics and Genomic Networks (16 papers), Advanced Proteomics Techniques and Applications (7 papers) and Gene expression and cancer classification (4 papers). Nadezhda T. Doncheva collaborates with scholars based in Denmark, Germany and United States. Nadezhda T. Doncheva's co-authors include Lars Juhl Jensen, Christian von Mering, Damian Szklarczyk, Peer Bork, John H. Morris, Annika L. Gable, David Lyon, Stefan Wyder, Milan Simonovic and Jaime Huerta‐Cepas and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Nadezhda T. Doncheva

31 papers receiving 28.2k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets

2018 11.7k citations Damian Szklarczyk, Annika L. Gable et al. Nucleic Acids Research profile →
The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible

2016 5.2k citations Damian Szklarczyk, John H. Morris et al. Nucleic Acids Research profile →
The STRING database in 2021: customizable protein–protein networks, and functional characterization of user-uploaded gene/measurement sets

2020 5.0k citations Damian Szklarczyk, Annika L. Gable et al. Nucleic Acids Research profile →
The STRING database in 2023: protein–protein association networks and functional enrichment analyses for any sequenced genome of interest

2022 3.6k citations Damian Szklarczyk, Rebecca Kirsch et al. Nucleic Acids Research profile →
Cytoscape StringApp: Network Analysis and Visualization of Proteomics Data

2018 1.4k citations Nadezhda T. Doncheva, John H. Morris et al. Journal of Proteome Research profile →
Correction to ‘The STRING database in 2021: customizable protein–protein networks, and functional characterization of user-uploaded gene/measurement sets’

2021 264 citations Damian Szklarczyk, Annika L. Gable et al. Nucleic Acids Research profile →
The STRING database in 2025: protein networks with directionality of regulation

2024 93 citations Damian Szklarczyk, Katerina Nastou et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nadezhda T. Doncheva Denmark	18	17.1k	4.5k	3.6k	3.2k	2.6k	33	28.4k
Milan Simonovic Switzerland	9	21.7k 1.3×	5.2k 1.2×	3.9k 1.1×	3.5k 1.1×	2.9k 1.2×	10	33.7k
Stefan Wyder Switzerland	18	15.6k 0.9×	4.2k 0.9×	3.3k 0.9×	2.8k 0.9×	2.3k 0.9×	26	25.5k
Gary D. Bader Canada	69	22.9k 1.3×	4.4k 1.0×	2.4k 0.7×	2.5k 0.8×	2.5k 1.0×	211	31.7k
Annika L. Gable Switzerland	8	12.5k 0.7×	3.3k 0.7×	2.8k 0.8×	2.4k 0.8×	2.1k 0.8×	8	21.0k
Jaime Huerta‐Cepas Spain	35	19.3k 1.1×	3.3k 0.7×	2.6k 0.7×	2.6k 0.8×	2.0k 0.8×	59	30.8k
Wataru Fujibuchi Japan	25	18.4k 1.1×	3.7k 0.8×	2.1k 0.6×	2.3k 0.7×	1.7k 0.7×	69	27.4k
Miho Furumichi Japan	10	16.8k 1.0×	3.4k 0.8×	2.0k 0.6×	2.1k 0.7×	1.5k 0.6×	11	26.0k
Hidemasa Bono Japan	30	19.5k 1.1×	3.7k 0.8×	2.1k 0.6×	2.4k 0.8×	1.6k 0.6×	108	28.8k
Alexander Röth Germany	31	15.5k 0.9×	3.4k 0.8×	2.5k 0.7×	2.3k 0.7×	1.8k 0.7×	80	24.7k
Yoko Sato Japan	31	19.1k 1.1×	3.4k 0.8×	2.1k 0.6×	2.3k 0.7×	1.6k 0.6×	137	30.8k

Countries citing papers authored by Nadezhda T. Doncheva

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Nadezhda T. Doncheva

This figure shows the co-authorship network connecting the top 25 collaborators of Nadezhda T. Doncheva. A scholar is included among the top collaborators of Nadezhda T. Doncheva based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nadezhda T. Doncheva. Nadezhda T. Doncheva is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Verschaffelt, Pieter, Qingyao Huang, Nadezhda T. Doncheva, et al.. (2025). PathwayPilot: A User-Friendly Tool for Visualizing and Navigating Metabolic Pathways. Molecular & Cellular Proteomics. 24(3). 100918–100918.

Batth, Tanveer S., Marie Locard‐Paulet, Nadezhda T. Doncheva, et al.. (2024). Streamlined analysis of drug targets by proteome integral solubility alteration indicates organ-specific engagement. Nature Communications. 15(1). 8923–8923. 8 indexed citations

Szklarczyk, Damian, Katerina Nastou, Mikaela Koutrouli, et al.. (2024). The STRING database in 2025: protein networks with directionality of regulation. Nucleic Acids Research. 53(D1). D730–D737. 93 indexed citations breakdown →

Hendriks, Ivo A., Sara C. Buch-Larsen, Claus Henrik Nielsen, et al.. (2024). A quantitative and site-specific atlas of the citrullinome reveals widespread existence of citrullination and insights into PADI4 substrates. Nature Structural & Molecular Biology. 31(6). 977–995. 13 indexed citations

Szklarczyk, Damian, Rebecca Kirsch, Mikaela Koutrouli, et al.. (2022). The STRING database in 2023: protein–protein association networks and functional enrichment analyses for any sequenced genome of interest. Nucleic Acids Research. 51(D1). D638–D646. 3589 indexed citations breakdown →

Doncheva, Nadezhda T., John H. Morris, Rebecca Kirsch, et al.. (2022). Cytoscape stringApp 2.0: Analysis and Visualization of Heterogeneous Biological Networks. Journal of Proteome Research. 22(2). 637–646. 99 indexed citations

Corsi, Giulia I., Henriette Haukedal, Nadezhda T. Doncheva, et al.. (2022). The transcriptomic landscape of neurons carrying PSEN1 mutations reveals changes in extracellular matrix components and non-coding gene expression. Neurobiology of Disease. 178. 105980–105980. 9 indexed citations

Dultz, G., Sanjay Kumar Srikakulam, Tetsuro Shimakami, et al.. (2021). Epistatic interactions promote persistence of NS3-Q80K in HCV infection by compensating for protein folding instability. Journal of Biological Chemistry. 297(3). 101031–101031. 3 indexed citations

Szklarczyk, Damian, Annika L. Gable, Katerina Nastou, et al.. (2020). The STRING database in 2021: customizable protein–protein networks, and functional characterization of user-uploaded gene/measurement sets. Nucleic Acids Research. 49(D1). D605–D612. 5035 indexed citations breakdown →

10.

Gapsys, Vytautas, Hauke Walter, Eva Heger, et al.. (2020). Non-active site mutants of HIV-1 protease influence resistance and sensitisation towards protease inhibitors. Retrovirology. 17(1). 13–13. 14 indexed citations

11.

Doncheva, Nadezhda T., Francisco S. Domingues, David R. McGivern, et al.. (2019). Near-Neighbor Interactions in the NS3-4A Protease of HCV Impact Replicative Fitness of Drug-Resistant Viral Variants. Journal of Molecular Biology. 431(12). 2354–2368. 4 indexed citations

12.

Cook, Helen, Nadezhda T. Doncheva, Damian Szklarczyk, Christian von Mering, & Lars Juhl Jensen. (2018). Viruses.STRING: A Virus-Host Protein-Protein Interaction Database. Viruses. 10(10). 519–519. 103 indexed citations

13.

Doncheva, Nadezhda T., John H. Morris, Jan Gorodkin, & Lars Juhl Jensen. (2018). Cytoscape StringApp: Network Analysis and Visualization of Proteomics Data. Journal of Proteome Research. 18(2). 623–632. 1374 indexed citations breakdown →

14.

Szklarczyk, Damian, Annika L. Gable, David Lyon, et al.. (2018). STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic Acids Research. 47(D1). D607–D613. 11663 indexed citations breakdown →

15.

Andreassen, Ole A., Yunpeng Wang, Wesley K. Thompson, et al.. (2015). Abundant Genetic Overlap between Blood Lipids and Immune-Mediated Diseases Indicates Shared Molecular Genetic Mechanisms. PLoS ONE. 10(4). e0123057–e0123057. 33 indexed citations

16.

Doncheva, Nadezhda T., Karsten Klein, John H. Morris, et al.. (2014). Integrative visual analysis of protein sequence mutations. BMC Proceedings. 8(S2). S2–S2. 9 indexed citations

17.

Zanon, Alessandra, Aleksandar Raković, Hagen Blankenburg, et al.. (2013). Profiling of Parkin-Binding Partners Using Tandem Affinity Purification. PLoS ONE. 8(11). e78648–e78648. 50 indexed citations

18.

Doncheva, Nadezhda T., Tim Kacprowski, & Mario Albrecht. (2012). Recent approaches to the prioritization of candidate disease genes. WIREs Systems Biology and Medicine. 4(5). 429–442. 42 indexed citations

19.

Doncheva, Nadezhda T., Yassen Assenov, Francisco S. Domingues, & Mario Albrecht. (2012). Topological analysis and interactive visualization of biological networks and protein structures. Nature Protocols. 7(4). 670–685. 374 indexed citations

20.

Doncheva, Nadezhda T., Karsten Klein, Francisco S. Domingues, & Mario Albrecht. (2011). Analyzing and visualizing residue networks of protein structures. Trends in Biochemical Sciences. 36(4). 179–182. 204 indexed citations

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.

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