Vladislava Milchevskaya

631 total citations
9 papers, 209 citations indexed

About

Vladislava Milchevskaya is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Vladislava Milchevskaya has authored 9 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Cancer Research. Recurrent topics in Vladislava Milchevskaya's work include Machine Learning in Bioinformatics (4 papers), Protein Structure and Dynamics (4 papers) and RNA and protein synthesis mechanisms (3 papers). Vladislava Milchevskaya is often cited by papers focused on Machine Learning in Bioinformatics (4 papers), Protein Structure and Dynamics (4 papers) and RNA and protein synthesis mechanisms (3 papers). Vladislava Milchevskaya collaborates with scholars based in Germany, Russia and Switzerland. Vladislava Milchevskaya's co-authors include Kiran Raosaheb Patil, Toby J. Gibson, Giancarlo Pruneri, Barbara Burwinkel, Bernd Klaus, Eleni Kafkia, Rocı́o Sotillo, Nicole Rotmensz, Andreas Schneeweiß and Kristina M. Havas and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and PLoS ONE.

In The Last Decade

Vladislava Milchevskaya

8 papers receiving 209 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vladislava Milchevskaya Germany 5 136 84 52 35 31 9 209
Johanna I. Englund Finland 7 99 0.7× 33 0.4× 37 0.7× 48 1.4× 16 0.5× 12 188
Rebeca Piatniczka Iglesia Brazil 10 219 1.6× 92 1.1× 28 0.5× 30 0.9× 33 1.1× 17 281
Julie‐Ann Cavallo United States 3 121 0.9× 43 0.5× 50 1.0× 49 1.4× 18 0.6× 3 195
Oksana Mashadova United States 4 175 1.3× 105 1.3× 26 0.5× 86 2.5× 16 0.5× 5 252
Sunil Acharya United States 5 195 1.4× 39 0.5× 39 0.8× 83 2.4× 30 1.0× 7 252
Chet Oon United States 6 117 0.9× 34 0.4× 44 0.8× 37 1.1× 34 1.1× 8 167
Taoling Zeng China 7 197 1.4× 37 0.4× 30 0.6× 55 1.6× 12 0.4× 9 234
Xiaoyu Ma China 8 344 2.5× 149 1.8× 32 0.6× 32 0.9× 16 0.5× 18 418
Lindsey K. Stolze United States 7 210 1.5× 39 0.5× 52 1.0× 35 1.0× 75 2.4× 12 293
Angelica Benavides-Serrato United States 12 311 2.3× 73 0.9× 120 2.3× 27 0.8× 29 0.9× 12 387

Countries citing papers authored by Vladislava Milchevskaya

Since Specialization
Citations

This map shows the geographic impact of Vladislava Milchevskaya'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 Vladislava Milchevskaya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladislava Milchevskaya more than expected).

Fields of papers citing papers by Vladislava Milchevskaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vladislava Milchevskaya. 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 Vladislava Milchevskaya. The network helps show where Vladislava Milchevskaya may publish in the future.

Co-authorship network of co-authors of Vladislava Milchevskaya

This figure shows the co-authorship network connecting the top 25 collaborators of Vladislava Milchevskaya. A scholar is included among the top collaborators of Vladislava Milchevskaya 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 Vladislava Milchevskaya. Vladislava Milchevskaya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Milchevskaya, Vladislava, et al.. (2023). A Method to Generate Complex Predictive Features for ML-Based Prediction of the Local Protein Structure. Молекулярная биология. 57(1). 127–138. 1 indexed citations
2.
Milchevskaya, Vladislava, et al.. (2023). Method to Generate Complex Predictive Features for Machine Learning-Based Prediction of the Local Structure and Functions of Proteins. Molecular Biology. 57(1). 136–145. 1 indexed citations
3.
Milchevskaya, Vladislava, Philippe Bugnon, Dominique Vanhecke, et al.. (2023). Group size planning for breedings of gene-modified mice and other organisms following Mendelian inheritance. Lab Animal. 52(8). 183–188.
4.
Milchevskaya, Vladislava, et al.. (2023). Effective Local and Secondary Protein Structure Prediction by Combining a Neural Network-Based Approach with Extensive Feature Design and Selection without Reliance on Evolutionary Information. International Journal of Molecular Sciences. 24(21). 15656–15656. 4 indexed citations
5.
Locatelli, Giuseppe, Filipa M. Ferreira, Martin Krueger, et al.. (2022). IGF1R expression by adult oligodendrocytes is not required in the steady‐state but supports neuroinflammation. Glia. 71(3). 616–632. 4 indexed citations
6.
Milchevskaya, Vladislava, et al.. (2021). Structural coordinates: A novel approach to predict protein backbone conformation. PLoS ONE. 16(5). e0239793–e0239793. 4 indexed citations
7.
Bölükbaşı, Özge Vargel, Valentine Svensson, Maya Shvartsman, et al.. (2020). Single-cell transcriptomics identifies CD44 as a marker and regulator of endothelial to haematopoietic transition. Nature Communications. 11(1). 586–586. 74 indexed citations
8.
Havas, Kristina M., Vladislava Milchevskaya, Eleni Kafkia, et al.. (2017). Metabolic shifts in residual breast cancer drive tumor recurrence. Journal of Clinical Investigation. 127(6). 2091–2105. 119 indexed citations
9.
Milchevskaya, Vladislava, et al.. (2017). A Tool to Build Up-To-Date Gene Annotations for Affymetrix Microarrays. 3(2). 38–38. 2 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Johanna I. Englund Breakdown of academic impact, for papers by Rebeca Piatniczka Iglesia Breakdown of academic impact, for papers by Julie‐Ann Cavallo Breakdown of academic impact, for papers by Oksana Mashadova Breakdown of academic impact, for papers by Sunil Acharya Breakdown of academic impact, for papers by Chet Oon Breakdown of academic impact, for papers by Taoling Zeng Breakdown of academic impact, for papers by Xiaoyu Ma Breakdown of academic impact, for papers by Lindsey K. Stolze Breakdown of academic impact, for papers by Angelica Benavides-Serrato
Rankless by CCL
2026