Anna A. Popova

1.1k total citations
37 papers, 869 citations indexed

About

Anna A. Popova is a scholar working on Biomedical Engineering, Molecular Biology and Biophysics. According to data from OpenAlex, Anna A. Popova has authored 37 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Biomedical Engineering, 15 papers in Molecular Biology and 7 papers in Biophysics. Recurrent topics in Anna A. Popova's work include 3D Printing in Biomedical Research (17 papers), Innovative Microfluidic and Catalytic Techniques Innovation (13 papers) and Microfluidic and Bio-sensing Technologies (10 papers). Anna A. Popova is often cited by papers focused on 3D Printing in Biomedical Research (17 papers), Innovative Microfluidic and Catalytic Techniques Innovation (13 papers) and Microfluidic and Bio-sensing Technologies (10 papers). Anna A. Popova collaborates with scholars based in Germany, United Kingdom and China. Anna A. Popova's co-authors include Pavel A. Levkin, Konstantin Demir, Erica Ueda, Alexander Nesterov‐Mueller, Eric A. Schmitt, Markus Reischl, Mariana B. Oliveira, Ana I. Neto, João F. Mano and Ravindra Peravali and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Advanced Functional Materials.

In The Last Decade

Anna A. Popova

34 papers receiving 867 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna A. Popova Germany 14 632 226 222 205 62 37 869
Konstantin Demir Germany 8 384 0.6× 102 0.5× 159 0.7× 125 0.6× 19 0.3× 9 510
Javier Atencia United States 12 1.1k 1.8× 124 0.5× 85 0.4× 428 2.1× 30 0.5× 24 1.4k
Ehsan Samiei Canada 19 865 1.4× 227 1.0× 42 0.2× 444 2.2× 73 1.2× 28 1.3k
Robert D. Lovchik Switzerland 15 812 1.3× 166 0.7× 42 0.2× 282 1.4× 38 0.6× 33 1.0k
Thomas Gervais Canada 18 1.0k 1.6× 144 0.6× 37 0.2× 218 1.1× 163 2.6× 43 1.3k
C. Ryan Oliver United States 12 339 0.5× 97 0.4× 70 0.3× 111 0.5× 105 1.7× 17 698
Chueh‐Yu Wu United States 13 721 1.1× 83 0.4× 35 0.2× 167 0.8× 42 0.7× 20 828
Raquel Perez‐Castillejos United States 14 479 0.8× 216 1.0× 36 0.2× 193 0.9× 49 0.8× 30 822
André Meister Switzerland 11 417 0.7× 146 0.6× 40 0.2× 177 0.9× 20 0.3× 19 741
Zeta Tak For Yu United States 13 977 1.5× 276 1.2× 38 0.2× 144 0.7× 302 4.9× 24 1.2k

Countries citing papers authored by Anna A. Popova

Since Specialization
Citations

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

Fields of papers citing papers by Anna A. Popova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anna A. Popova. 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 Anna A. Popova. The network helps show where Anna A. Popova may publish in the future.

Co-authorship network of co-authors of Anna A. Popova

This figure shows the co-authorship network connecting the top 25 collaborators of Anna A. Popova. A scholar is included among the top collaborators of Anna A. Popova 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 Anna A. Popova. Anna A. Popova 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.
Popova, Anna A., et al.. (2025). Bayesian Optimization Driven Cancer Drug Dose-Response Curve Discovery. Current Directions in Biomedical Engineering. 11(1). 358–361.
2.
Zhou, Meijun, et al.. (2024). Drug‐Induced Differential Gene Expression Analysis on Nanoliter Droplet Microarrays: Enabling Tool for Functional Precision Oncology. Advanced Healthcare Materials. 14(1). e2401820–e2401820. 1 indexed citations
3.
Levkin, Pavel A., et al.. (2024). Nanoliter Hydrogel Array for Cell Screening and Cell Spheroid Sorting. Advanced Materials Technologies. 10(8).
4.
Tian, Ye, S. Schmidt, Sergii Afonin, et al.. (2024). High‐Throughput Miniaturized Synthesis of PROTAC‐Like Molecules. Small. 20(26). e2307215–e2307215. 9 indexed citations
5.
Wu, Yanchen, et al.. (2024). Digital twin of a droplet microarray platform: Evaporation behavior for multiple droplets on patterned chips for cell culture. SHILAP Revista de lepidopterología. 3(1). 6 indexed citations
6.
Cui, Haijun, Christel Herold‐Mende, Markus Reischl, et al.. (2023). Repurposing FDA‐Approved Drugs for Temozolomide‐Resistant IDH1 Mutant Glioma Using High‐Throughput Miniaturized Screening on Droplet Microarray Chip. Advanced Healthcare Materials. 12(24). e2300591–e2300591. 9 indexed citations
7.
Reiser, Patrick, et al.. (2023). OligoHydrogelArray (OHA) for Parallelized Solid‐Phase Extraction of Oligonucleotides. Advanced Materials Interfaces. 10(21). 2 indexed citations
8.
Levkin, Pavel A., et al.. (2023). ANDeS: An automated nanoliter droplet selection and collection device. SLAS TECHNOLOGY. 29(1). 100118–100118. 5 indexed citations
9.
Wang, Fei, Britta Nestler, Véronique Orian‐Rousseau, et al.. (2023). Automated high-throughput image processing as part of the screening platform for personalized oncology. Scientific Reports. 13(1). 5107–5107. 1 indexed citations
10.
Liu, Yanxi, Sarah Bertels, Markus Reischl, et al.. (2022). Droplet Microarray Based Screening Identifies Proteins for Maintaining Pluripotency of hiPSCs. Advanced Healthcare Materials. 11(18). e2200718–e2200718. 10 indexed citations
11.
Lei, Wenxi, Anna A. Popova, Markus Reischl, et al.. (2022). Droplet Microarray as a Powerful Platform for Seeking New Antibiotics Against Multidrug‐Resistant Bacteria. Advanced Biology. 6(12). e2200166–e2200166. 10 indexed citations
12.
Cui, Haijun, Xianxian Wang, Janine Wesslowski, et al.. (2022). High‐throughput formation of miniaturized cocultures of 2D cell monolayers and 3D cell spheroids using droplet microarray. SHILAP Revista de lepidopterología. 2(1). 11 indexed citations
13.
Popova, Anna A., et al.. (2021). Fast Nanoliter‐Scale Cell Assays Using Droplet Microarray–Mass Spectrometry Imaging. Advanced Biology. 5(3). e2000279–e2000279. 22 indexed citations
14.
Liu, Yanxi, et al.. (2021). Miniaturized droplet microarray platform enables maintenance of human induced pluripotent stem cell pluripotency. Materials Today Bio. 12. 100153–100153. 12 indexed citations
15.
Gourain, Victor, et al.. (2021). Droplet microarrays for cell culture: effect of surface properties and nanoliter culture volume on global transcriptomic landscape. Materials Today Bio. 11. 100112–100112. 13 indexed citations
16.
Popova, Anna A., et al.. (2021). Grid Screener: A Tool for Automated High-Throughput Screening on Biochemical and Biological Analysis Platforms. IEEE Access. 9. 166027–166038. 5 indexed citations
17.
Popova, Anna A. & Pavel A. Levkin. (2020). Precision Medicine in Oncology: In Vitro Drug Sensitivity and Resistance Test (DSRT) for Selection of Personalized Anticancer Therapy. Advanced Therapeutics. 3(2). 40 indexed citations
18.
Oudeng, Gerile, Anna A. Popova, Yu Zhang, et al.. (2020). Droplet Microarray Based on Nanosensing Probe Patterns for Simultaneous Detection of Multiple HIV Retroviral Nucleic Acids. ACS Applied Materials & Interfaces. 12(50). 55614–55623. 32 indexed citations
19.
Popova, Anna A., et al.. (2017). Fish‐Microarray: A Miniaturized Platform for Single‐Embryo High‐Throughput Screenings. Advanced Functional Materials. 28(3). 33 indexed citations
20.
Popova, Anna A., et al.. (2017). Miniaturized platform for high-throughput screening of stem cells. Current Opinion in Biotechnology. 46. 141–149. 23 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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