Anna Tarakanova

2.0k total citations
40 papers, 1.5k citations indexed

About

Anna Tarakanova is a scholar working on Biomaterials, Genetics and Molecular Biology. According to data from OpenAlex, Anna Tarakanova has authored 40 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomaterials, 14 papers in Genetics and 12 papers in Molecular Biology. Recurrent topics in Anna Tarakanova's work include Connective tissue disorders research (12 papers), Silk-based biomaterials and applications (12 papers) and Elasticity and Material Modeling (6 papers). Anna Tarakanova is often cited by papers focused on Connective tissue disorders research (12 papers), Silk-based biomaterials and applications (12 papers) and Elasticity and Material Modeling (6 papers). Anna Tarakanova collaborates with scholars based in United States, Australia and United Kingdom. Anna Tarakanova's co-authors include Markus J. Buehler, Nicola M. Pugno, Steven W. Cranford, Anthony S. Weiss, Wenwen Huang, David L. Kaplan, Clair Baldock, Jingjie Yeo, Mohammad Madani and Joyce Wong and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Anna Tarakanova

37 papers receiving 1.5k 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 Tarakanova United States 19 722 439 322 290 261 40 1.5k
Shu‐Wei Chang Taiwan 24 559 0.8× 731 1.7× 246 0.8× 90 0.3× 188 0.7× 82 2.2k
Bo An United States 25 933 1.3× 580 1.3× 686 2.1× 88 0.3× 66 0.3× 76 2.2k
Tianzhi Luo China 27 432 0.6× 715 1.6× 491 1.5× 97 0.3× 188 0.7× 99 2.3k
Kazunori Shimizu Japan 30 977 1.4× 1.2k 2.7× 912 2.8× 119 0.4× 609 2.3× 150 2.8k
Sebastian Rammensee Germany 8 595 0.8× 313 0.7× 407 1.3× 48 0.2× 119 0.5× 9 1.2k
Martin Stolz Switzerland 23 379 0.5× 464 1.1× 548 1.7× 72 0.2× 105 0.4× 47 2.1k
Martin L. Bennink Netherlands 23 987 1.4× 1.1k 2.5× 635 2.0× 78 0.3× 75 0.3× 47 2.5k
Sarah Calve United States 30 545 0.8× 685 1.6× 735 2.3× 143 0.5× 79 0.3× 74 2.4k
Javier G. Fernandez Singapore 21 458 0.6× 543 1.2× 127 0.4× 47 0.2× 157 0.6× 56 1.2k
Wenguang Yang China 26 407 0.6× 1.6k 3.6× 257 0.8× 39 0.1× 407 1.6× 146 2.6k

Countries citing papers authored by Anna Tarakanova

Since Specialization
Citations

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

Fields of papers citing papers by Anna Tarakanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Tarakanova

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Tarakanova. A scholar is included among the top collaborators of Anna Tarakanova 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 Tarakanova. Anna Tarakanova 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.
Yang, Chengeng, Alan R. Godwin, Stefanie A. Morosky, et al.. (2025). Prodomain processing controls BMP ‐10 bioactivity and targeting to fibrillin‐1 in latent conformation. The FASEB Journal. 39(3). e70373–e70373. 2 indexed citations
2.
Madani, Mohammad, Valentina Lacivita, Yongwoo Shin, & Anna Tarakanova. (2025). Accelerating materials property prediction via a hybrid Transformer Graph framework that leverages four body interactions. npj Computational Materials. 11(1). 15–15. 10 indexed citations
3.
4.
Colaianni, Graziana, et al.. (2024). Multiscale and multidisciplinary analysis of aging processes in bone. PubMed. 10(1). 28–28. 10 indexed citations
5.
Madani, Mohammad & Anna Tarakanova. (2024). Predicting protein thermal stability changes upon single and multi-point mutations via restricted attention subgraph neural network. Journal of the Mechanics and Physics of Solids. 184. 105531–105531.
6.
7.
Yang, Chengeng, Anthony S. Weiss, & Anna Tarakanova. (2022). Changes in elastin structure and extensibility induced by hypercalcemia and hyperglycemia. Acta Biomaterialia. 163. 131–145. 12 indexed citations
8.
Madani, Mohammad, et al.. (2022). Improved inter-residue contact prediction via a hybrid generative model and dynamic loss function. Computational and Structural Biotechnology Journal. 20. 6138–6148. 8 indexed citations
9.
Madani, Mohammad, Kaixiang Lin, & Anna Tarakanova. (2021). DSResSol: A Sequence-Based Solubility Predictor Created with Dilated Squeeze Excitation Residual Networks. International Journal of Molecular Sciences. 22(24). 13555–13555. 38 indexed citations
10.
Madani, Mohammad, et al.. (2021). Modeling coronavirus spike protein dynamics: implications for immunogenicity and immune escape. Biophysical Journal. 120(24). 5592–5618. 18 indexed citations
11.
Wang, Richard, et al.. (2021). Fuzzy binding model of molecular interactions between tropoelastin and integrin alphaVbeta3. Biophysical Journal. 120(15). 3138–3151. 6 indexed citations
12.
Yang, Chengeng, et al.. (2021). Tropoelastin and Elastin Assembly. Frontiers in Bioengineering and Biotechnology. 9. 643110–643110. 87 indexed citations
13.
Madani, Mohammad & Anna Tarakanova. (2020). Molecular Design of Soluble Zein Protein Sequences. Biophysical Journal. 118(3). 45a–45a. 6 indexed citations
14.
Buehler, Markus J., et al.. (2020). The Order-Disorder Continuum: Linking Predictions of Protein Structure and Disorder through Molecular Simulation. Scientific Reports. 10(1). 2068–2068. 17 indexed citations
15.
Tarakanova, Anna, et al.. (2019). Cartilage and collagen mechanics under large-strain shear within in vivo and at supraphysiogical temperatures. Journal of the mechanical behavior of biomedical materials. 103. 103595–103595. 8 indexed citations
16.
Tarakanova, Anna, et al.. (2019). Allysine modifications perturb tropoelastin structure and mobility on a local and global scale. SHILAP Revista de lepidopterología. 2. 100002–100002. 12 indexed citations
17.
Barreiro, Diego López, Jingjie Yeo, Anna Tarakanova, Francisco J. Martín‐Martínez, & Markus J. Buehler. (2018). Multiscale Modeling of Silk and Silk‐Based Biomaterials—A Review. Macromolecular Bioscience. 19(3). e1800253–e1800253. 55 indexed citations
18.
Yeo, Jingjie, Gang Seob Jung, Anna Tarakanova, et al.. (2018). Multiscale modeling of keratin, collagen, elastin and related human diseases: Perspectives from atomistic to coarse-grained molecular dynamics simulations. Extreme Mechanics Letters. 20. 112–124. 38 indexed citations
19.
Tarakanova, Anna, Wenwen Huang, Anthony S. Weiss, David L. Kaplan, & Markus J. Buehler. (2017). Computational smart polymer design based on elastin protein mutability. Biomaterials. 127. 49–60. 51 indexed citations
20.
Yeo, Giselle C., Anna Tarakanova, Clair Baldock, et al.. (2016). Subtle balance of tropoelastin molecular shape and flexibility regulates dynamics and hierarchical assembly. Science Advances. 2(2). e1501145–e1501145. 45 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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