Andre Levchenko

18.1k total citations · 4 hit papers
172 papers, 13.5k citations indexed

About

Andre Levchenko is a scholar working on Molecular Biology, Biomedical Engineering and Cell Biology. According to data from OpenAlex, Andre Levchenko has authored 172 papers receiving a total of 13.5k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Molecular Biology, 52 papers in Biomedical Engineering and 46 papers in Cell Biology. Recurrent topics in Andre Levchenko's work include 3D Printing in Biomedical Research (40 papers), Cellular Mechanics and Interactions (39 papers) and Gene Regulatory Network Analysis (34 papers). Andre Levchenko is often cited by papers focused on 3D Printing in Biomedical Research (40 papers), Cellular Mechanics and Interactions (39 papers) and Gene Regulatory Network Analysis (34 papers). Andre Levchenko collaborates with scholars based in United States, Japan and South Korea. Andre Levchenko's co-authors include Deok‐Ho Kim, Alexander Hoffmann, Raymond Cheong, Martin Scott, David Baltimore, Kshitiz Gupta, Pablo A. Iglesias, Christopher L. Smith, Ilya Nemenman and Jehoshua Bruck and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Andre Levchenko

170 papers receiving 13.3k citations

Hit Papers

The IκB-NF-κB Signaling Module: Temporal Control and Sele... 2002 2026 2010 2018 2002 2012 2019 2023 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andre Levchenko United States 67 6.4k 4.1k 2.7k 1.8k 1.5k 172 13.5k
Sui Huang United States 60 9.0k 1.4× 4.5k 1.1× 4.4k 1.7× 1.8k 1.0× 2.1k 1.4× 158 18.7k
Paul Matsudaira United States 59 7.9k 1.2× 3.1k 0.8× 5.3k 2.0× 700 0.4× 1.2k 0.8× 285 18.2k
Anne E. Carpenter United States 58 11.0k 1.7× 2.2k 0.5× 2.1k 0.8× 1.1k 0.6× 1.6k 1.0× 166 19.8k
Andrew J. Ewald United States 49 6.9k 1.1× 2.2k 0.5× 3.0k 1.1× 2.6k 1.5× 4.8k 3.2× 109 13.6k
Denis Wirtz United States 80 8.8k 1.4× 5.8k 1.4× 9.5k 3.6× 1.6k 0.9× 2.3k 1.5× 258 22.5k
Patricia J. Keely United States 58 4.5k 0.7× 4.0k 1.0× 5.3k 2.0× 1.9k 1.1× 4.8k 3.2× 102 13.8k
Lance L. Munn United States 67 6.9k 1.1× 5.2k 1.3× 2.7k 1.0× 3.4k 1.9× 5.6k 3.7× 178 17.7k
Johanna Ivaska Finland 62 6.9k 1.1× 1.2k 0.3× 5.0k 1.9× 1.7k 0.9× 2.7k 1.8× 150 13.5k
Celeste M. Nelson United States 57 5.2k 0.8× 5.9k 1.4× 6.4k 2.4× 1.1k 0.6× 3.1k 2.0× 177 14.9k
David W. Speicher United States 72 12.6k 1.9× 1.3k 0.3× 3.6k 1.3× 1.4k 0.8× 2.3k 1.5× 278 19.3k

Countries citing papers authored by Andre Levchenko

Since Specialization
Citations

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

Fields of papers citing papers by Andre Levchenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andre Levchenko

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

All Works

20 of 20 papers shown
1.
Tippens, Nathaniel D., Ahmed Mohyeldin, Shuyan Wang, et al.. (2025). YAP controls cell migration and invasion through a Rho GTPase switch.. PubMed. 18(888). eadu3794–eadu3794. 2 indexed citations
2.
Scuderi, Soraya, Tae-Yun Kang, Alexandre Jourdon, et al.. (2025). Specification of human brain regions with orthogonal gradients of WNT and SHH in organoids reveals patterning variations across cell lines. Cell stem cell. 32(6). 970–989.e11. 8 indexed citations
3.
Chow, Ryan D., Meizhu Bai, Matthew B. Dong, et al.. (2023). CTLA-4 tail fusion enhances CAR-T antitumor immunity. Nature Immunology. 24(9). 1499–1510. 32 indexed citations
4.
Kang, Tae-Yun, Federico Bocci, Qing Nie, José N. Onuchic, & Andre Levchenko. (2023). Spatial–temporal order–disorder transition in angiogenic NOTCH signaling controls cell fate specification. eLife. 12. 6 indexed citations
5.
Maziarz, Jamie, Arig Ibrahim‐Hashim, Robert A. Gatenby, et al.. (2023). Experimental and phylogenetic evidence for correlated gene expression evolution in endometrial and skin fibroblasts. iScience. 27(1). 108593–108593. 2 indexed citations
7.
Maziarz, Jamie, Eric M. Erkenbrack, Yansheng Liu, et al.. (2022). Evolution of higher mesenchymal CD44 expression in the human lineage. Evolution Medicine and Public Health. 10(1). 447–462. 6 indexed citations
8.
Lipniacki, Tomasz, et al.. (2020). Modeling and measurement of signaling outcomes affecting decision making in noisy intracellular networks using machine learning methods. Integrative Biology. 12(5). 122–138. 4 indexed citations
9.
Kang, Tae-Yun, Federico Bocci, Mohit Kumar Jolly, et al.. (2019). Pericytes enable effective angiogenesis in the presence of proinflammatory signals. Proceedings of the National Academy of Sciences. 116(47). 23551–23561. 52 indexed citations
10.
Raredon, Micha Sam Brickman, Taylor Adams, Yasir Suhail, et al.. (2019). Single-cell connectomic analysis of adult mammalian lungs. Science Advances. 5(12). eaaw3851–eaaw3851. 116 indexed citations
11.
Gupta, Kshitiz, Junaid Afzal, Jamie Maziarz, et al.. (2019). Evolution of placental invasion and cancer metastasis are causally linked. Nature Ecology & Evolution. 3(12). 1743–1753. 57 indexed citations
12.
Ellison, David, Andrew Mugler, Matthew Brennan, et al.. (2016). Cell–cell communication enhances the capacity of cell ensembles to sense shallow gradients during morphogenesis. Proceedings of the National Academy of Sciences. 113(6). E679–88. 113 indexed citations
13.
Noren, David P., Amina A. Qutub, Aryeh Warmflash, et al.. (2016). Endothelial cells decode VEGF-mediated Ca 2+ signaling patterns to produce distinct functional responses. Science Signaling. 9(416). ra20–ra20. 80 indexed citations
14.
Li, Qian, Olindi Wijesekera, Sussan J. Salas, et al.. (2014). Mesenchymal Stem Cells from Human Fat Engineered to Secrete BMP4 Are Nononcogenic, Suppress Brain Cancer, and Prolong Survival. Clinical Cancer Research. 20(9). 2375–2387. 67 indexed citations
15.
Abbadi, Sara, Ameer Abutaleb, Christopher L. Smith, et al.. (2014). Glucose-6–phosphatase Is a Key Metabolic Regulator of Glioblastoma Invasion. Molecular Cancer Research. 12(11). 1547–1559. 64 indexed citations
16.
Wang, C. Joanne, et al.. (2012). Diverse Sensitivity Thresholds in Dynamic Signaling Responses by Social Amoebae. Science Signaling. 5(213). ra17–ra17. 73 indexed citations
17.
Wang, C. Joanne, Whei F. Moriarty, Byungwoo Ryu, et al.. (2011). Integration of Genotypic and Phenotypic Screening Reveals Molecular Mediators of Melanoma–Stromal Interaction. Cancer Research. 71(7). 2433–2444. 27 indexed citations
18.
Ellison, David, et al.. (2009). Computational model and microfluidic platform for the investigation of paracrine and autocrine signaling in mouse embryonic stem cells. Molecular BioSystems. 5(9). 1004–1012. 28 indexed citations
19.
Kaneda, Atsushi, Raymond Cheong, Winston Timp, et al.. (2007). Enhanced sensitivity to IGF-II signaling links loss of imprinting of IGF2 to increased cell proliferation and tumor risk. Proceedings of the National Academy of Sciences. 104(52). 20926–20931. 86 indexed citations
20.
Hoffmann, Alexander, Andre Levchenko, Martin Scott, & David Baltimore. (2002). The IκB-NF-κB Signaling Module: Temporal Control and Selective Gene Activation. Science. 298(5596). 1241–1245. 1477 indexed citations breakdown →

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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