Nika Shakiba

1.5k total citations
20 papers, 778 citations indexed

About

Nika Shakiba is a scholar working on Molecular Biology, Biomedical Engineering and Cell Biology. According to data from OpenAlex, Nika Shakiba has authored 20 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Biomedical Engineering and 5 papers in Cell Biology. Recurrent topics in Nika Shakiba's work include Pluripotent Stem Cells Research (13 papers), CRISPR and Genetic Engineering (7 papers) and Microfluidic and Bio-sensing Technologies (4 papers). Nika Shakiba is often cited by papers focused on Pluripotent Stem Cells Research (13 papers), CRISPR and Genetic Engineering (7 papers) and Microfluidic and Bio-sensing Technologies (4 papers). Nika Shakiba collaborates with scholars based in Canada, United States and United Kingdom. Nika Shakiba's co-authors include Peter W. Zandstra, Mukul Tewary, András Nagy, Joel Östblom, Laura Prochazka, Teresa Zulueta-Coarasa, Rodrigo Fernández‐González, Peter D. Tonge, Ross D. Jones and Siyuan Yu and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Nika Shakiba

19 papers receiving 769 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nika Shakiba Canada 12 418 400 105 73 65 20 778
Daniel Stark United States 7 130 0.3× 499 1.2× 66 0.6× 50 0.7× 48 0.7× 11 759
James Fick United States 10 301 0.7× 395 1.0× 47 0.4× 37 0.5× 45 0.7× 16 864
Haijiao Liu Canada 16 271 0.6× 446 1.1× 336 3.2× 44 0.6× 131 2.0× 27 877
Mirko Klingauf Switzerland 9 291 0.7× 369 0.9× 181 1.7× 27 0.4× 32 0.5× 11 773
Ramray Bhat India 14 244 0.6× 313 0.8× 80 0.8× 218 3.0× 18 0.3× 37 652
Lawrence F. Bronk United States 15 206 0.5× 449 1.1× 67 0.6× 49 0.7× 68 1.0× 35 1.3k
Kévin Alessandri France 13 190 0.5× 715 1.8× 284 2.7× 30 0.4× 47 0.7× 16 1.0k
Jens Moeller Switzerland 9 245 0.6× 261 0.7× 304 2.9× 46 0.6× 57 0.9× 9 714
P. A. Karalkin Russia 18 171 0.4× 409 1.0× 50 0.5× 21 0.3× 79 1.2× 57 787
Timon Idema Netherlands 15 518 1.2× 239 0.6× 261 2.5× 59 0.8× 51 0.8× 31 809

Countries citing papers authored by Nika Shakiba

Since Specialization
Citations

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

Fields of papers citing papers by Nika Shakiba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nika Shakiba

This figure shows the co-authorship network connecting the top 25 collaborators of Nika Shakiba. A scholar is included among the top collaborators of Nika Shakiba 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 Nika Shakiba. Nika Shakiba 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.
Tahamtani, Yaser, et al.. (2025). A systems view of cellular heterogeneity: Unlocking the “wheel of fate”. Cell Systems. 16(6). 101300–101300.
2.
Shakiba, Nika, Ross D. Jones, Michael M. Kaminski, et al.. (2023). Synthetic genetic circuits to uncover the OCT4 trajectories of successful reprogramming of human fibroblasts. Science Advances. 9(48). eadg8495–eadg8495. 10 indexed citations
3.
Elbaz, Judith, Mira C. Puri, Maryam Faiz, et al.. (2022). Highly efficient reprogrammable mouse lines with integrated reporters to track the route to pluripotency. Proceedings of the National Academy of Sciences. 119(49). e2207824119–e2207824119. 4 indexed citations
4.
Shakiba, Nika, et al.. (2022). The Field of Cell Competition Comes of Age: Semantics and Technological Synergy. Frontiers in Cell and Developmental Biology. 10. 891569–891569. 5 indexed citations
5.
Allen, Linda J. S., et al.. (2022). A Hybrid Epidemic Model to Explore Stochasticity in COVID-19 Dynamics. Bulletin of Mathematical Biology. 84(9). 91–91. 11 indexed citations
6.
Shakiba, Nika, Chunhe Li, Jordi García‐Ojalvo, et al.. (2022). How can Waddington-like landscapes facilitate insights beyond developmental biology?. Cell Systems. 13(1). 4–9. 13 indexed citations
7.
Shakiba, Nika, et al.. (2021). Effects of environmental variability on superspreading transmission events in stochastic epidemic models. Infectious Disease Modelling. 6. 560–583. 10 indexed citations
8.
Shakiba, Nika, et al.. (2021). Evening the playing field: microenvironmental control over stem cell competition during fate programming. Current Opinion in Genetics & Development. 70. 66–75. 4 indexed citations
9.
Shakiba, Nika, Ross D. Jones, Ron Weiss, & Domitilla Del Vecchio. (2021). Context-aware synthetic biology by controller design: Engineering the mammalian cell. Cell Systems. 12(6). 561–592. 46 indexed citations
10.
Tewary, Mukul, Joel Östblom, Laura Prochazka, et al.. (2019). High-throughput micropatterning platform reveals Nodal-dependent bisection of peri-gastrulation–associated versus preneurulation-associated fate patterning. PLoS Biology. 17(10). e3000081–e3000081. 30 indexed citations
11.
Zhang, Shuailong, E. Scott, Jastaranpreet Singh, et al.. (2019). The optoelectronic microrobot: A versatile toolbox for micromanipulation. Proceedings of the National Academy of Sciences. 116(30). 14823–14828. 103 indexed citations
12.
Shakiba, Nika, Gowtham Jayakumaran, Laurent David, et al.. (2019). Cell competition during reprogramming gives rise to dominant clones. Science. 364(6438). 72 indexed citations
13.
Tewary, Mukul, Nika Shakiba, & Peter W. Zandstra. (2018). Stem cell bioengineering: building from stem cell biology. Nature Reviews Genetics. 19(10). 595–614. 65 indexed citations
14.
Zhang, Shuailong, Nika Shakiba, Yujie Chen, et al.. (2018). Patterned Optoelectronic Tweezers: A New Scheme for Selecting, Moving, and Storing Dielectric Particles and Cells. Small. 14(45). e1803342–e1803342. 49 indexed citations
15.
Tewary, Mukul, Joel Östblom, Laura Prochazka, et al.. (2017). A stepwise model of Reaction-Diffusion and Positional-Information governs self-organized human peri-gastrulation-like patterning. Development. 144(23). 4298–4312. 116 indexed citations
16.
Shakiba, Nika & Peter W. Zandstra. (2017). Engineering cell fitness: lessons for regenerative medicine. Current Opinion in Biotechnology. 47. 7–15. 20 indexed citations
17.
Shakiba, Nika, Carl A. White, Yonatan Y. Lipsitz, et al.. (2015). CD24 tracks divergent pluripotent states in mouse and human cells. Nature Communications. 6(1). 7329–7329. 63 indexed citations
18.
Fluri, David A., Peter D. Tonge, Hannah Song, et al.. (2012). Derivation, expansion and differentiation of induced pluripotent stem cells in continuous suspension cultures. Nature Methods. 9(5). 509–516. 86 indexed citations
19.
Chen, Jian, Mohamed Abdelgawad, Liming Yu, et al.. (2011). Electrodeformation for single cell mechanical characterization. Journal of Micromechanics and Microengineering. 21(5). 54012–54012. 65 indexed citations
20.
Chen, Jian, Mohamed Abdelgawad, Liming Yu, et al.. (2011). Electrodeformation for single cell mechanical characterization. 1119–1122. 6 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 Daniel Stark Breakdown of academic impact, for papers by James Fick Breakdown of academic impact, for papers by Haijiao Liu Breakdown of academic impact, for papers by Mirko Klingauf Breakdown of academic impact, for papers by Ramray Bhat Breakdown of academic impact, for papers by Lawrence F. Bronk Breakdown of academic impact, for papers by Kévin Alessandri Breakdown of academic impact, for papers by Jens Moeller Breakdown of academic impact, for papers by P. A. Karalkin Breakdown of academic impact, for papers by Timon Idema
Rankless by CCL
2026