Maya Aleksandrova

402 total citations
11 papers, 76 citations indexed

About

Maya Aleksandrova is a scholar working on Molecular Biology, Immunology and Allergy and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Maya Aleksandrova has authored 11 papers receiving a total of 76 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Immunology and Allergy and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Maya Aleksandrova's work include Cell Adhesion Molecules Research (3 papers), Acute Lymphoblastic Leukemia research (2 papers) and Cellular Mechanics and Interactions (2 papers). Maya Aleksandrova is often cited by papers focused on Cell Adhesion Molecules Research (3 papers), Acute Lymphoblastic Leukemia research (2 papers) and Cellular Mechanics and Interactions (2 papers). Maya Aleksandrova collaborates with scholars based in United States, Netherlands and Italy. Maya Aleksandrova's co-authors include Peter D. Yurchenco, Karen K. McKee, Erhard Hohenester, Xiaoyang Su, Stephen I. Alexander, Shengkan Jin, Shirley Luo, Caifeng Zhao, Daniel Herranz and Sonia Minuzzo and has published in prestigious journals such as Blood, Development and Matrix Biology.

In The Last Decade

Maya Aleksandrova

8 papers receiving 74 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maya Aleksandrova United States 5 40 36 31 9 8 11 76
Katia Capitani Italy 4 58 1.4× 17 0.5× 3 0.1× 9 1.0× 7 0.9× 4 89
Meike Miller Slovakia 3 29 0.7× 27 0.8× 7 0.2× 6 0.7× 1 0.1× 3 81
David Hoffmann France 4 30 0.8× 6 0.2× 9 0.3× 29 3.2× 1 0.1× 7 81
Aysegül Kaymak Türkiye 5 40 1.0× 11 0.3× 5 0.2× 2 0.2× 8 60
Tracy Thomas United States 4 37 0.9× 5 0.1× 16 0.5× 3 0.3× 6 73
Nissan Baratang Canada 6 76 1.9× 8 0.2× 28 0.9× 1 0.1× 2 0.3× 7 149
Szu Shen Wong United Kingdom 5 37 0.9× 10 0.3× 5 0.2× 35 3.9× 1 0.1× 6 108
Vidyasagar Koduri United States 4 84 2.1× 3 0.1× 20 0.6× 6 0.7× 1 0.1× 4 108
Ramon Lorenzo D. Labitigan United States 2 43 1.1× 6 0.2× 18 0.6× 2 0.2× 2 73
Stuart Meacham United Kingdom 4 37 0.9× 6 0.2× 7 0.2× 48 5.3× 1 0.1× 5 91

Countries citing papers authored by Maya Aleksandrova

Since Specialization
Citations

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

Fields of papers citing papers by Maya Aleksandrova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maya Aleksandrova

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

All Works

11 of 11 papers shown
1.
Silva-Diz, Victoria da, Maya Aleksandrova, Oekyung Kim, et al.. (2025). A feedforward loop between ACLY and MYC supports T-ALL progression in vivo. PubMed. 2(2). 100069–100069. 1 indexed citations
2.
Bartman, Caroline, Shengqi Hou, Fabian Correa, et al.. (2025). Systemic metabolic changes in acute and chronic lymphocytic choriomeningitis virus infection. Molecular Metabolism. 99. 102194–102194. 2 indexed citations
3.
Silva-Diz, Victoria da, Maya Aleksandrova, Shirley Luo, et al.. (2022). A Therapeutically Targetable NOTCH1–SIRT1–KAT7 Axis in T-cell Leukemia. Blood Cancer Discovery. 4(1). 12–33. 8 indexed citations
4.
Silva-Diz, Victoria da, Bin Cao, Eric Chiles, et al.. (2021). A novel and highly effective mitochondrial uncoupling drug in T-cell leukemia. Blood. 138(15). 1317–1330. 8 indexed citations
5.
McKee, Karen K., Erhard Hohenester, Maya Aleksandrova, & Peter D. Yurchenco. (2021). Organization of the laminin polymer node. Matrix Biology. 98. 49–63. 19 indexed citations
6.
Jones, Lynelle K., Rachel Lam, Karen K. McKee, et al.. (2020). A mutation affecting laminin alpha 5 polymerisation gives rise to a syndromic developmental disorder. Development. 147(21). 22 indexed citations
7.
McKee, Karen K., Maya Aleksandrova, & Peter D. Yurchenco. (2018). Chimeric protein identification of dystrophic, Pierson and other laminin polymerization residues. Matrix Biology. 67. 32–46. 14 indexed citations
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Aleksandrova, Maya, et al.. (2014). [Radiation biology of structurally different drosophila genes. Report IV. The black gene: sequencing of the "point" mutations and recombination mechanisms of their processing].. PubMed. 53(4). 355–66. 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.

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2026