Szilvia Kiriakov

612 total citations
9 papers, 420 citations indexed

About

Szilvia Kiriakov is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Szilvia Kiriakov has authored 9 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Biomedical Engineering. Recurrent topics in Szilvia Kiriakov's work include Gene Regulatory Network Analysis (6 papers), Evolution and Genetic Dynamics (3 papers) and CRISPR and Genetic Engineering (2 papers). Szilvia Kiriakov is often cited by papers focused on Gene Regulatory Network Analysis (6 papers), Evolution and Genetic Dynamics (3 papers) and CRISPR and Genetic Engineering (2 papers). Szilvia Kiriakov collaborates with scholars based in United States, Switzerland and Canada. Szilvia Kiriakov's co-authors include Ahmad S. Khalil, Caleb J. Bashor, Christopher P. Mancuso, Brandon G. Wong, James J. Collins, Albert J. Keung, Susan Lindquist, William R. Hesse, Can Kayatekin and Sohini Chakrabortee and has published in prestigious journals such as Cell, Nature Communications and Nature Biotechnology.

In The Last Decade

Szilvia Kiriakov

9 papers receiving 417 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Szilvia Kiriakov United States	7	340	65	62	27	19	9	420
Taylor H. Nguyen United States	8	353 1.0×	39 0.6×	51 0.8×	26 1.0×	40 2.1×	15	436
Riddhiman Dhar India	11	468 1.4×	55 0.8×	102 1.6×	76 2.8×	27 1.4×	21	597
Joan G. Marcano-Velázquez United States	8	371 1.1×	30 0.5×	85 1.4×	11 0.4×	18 0.9×	8	408
Shinji Sueda Japan	14	354 1.0×	32 0.5×	23 0.4×	38 1.4×	14 0.7×	33	517
Natalie Jing United States	7	375 1.1×	25 0.4×	127 2.0×	18 0.7×	40 2.1×	7	471
Dana C. Nadler United States	8	477 1.4×	139 2.1×	61 1.0×	54 2.0×	23 1.2×	8	551
Eshan Khan India	14	352 1.0×	61 0.9×	82 1.3×	11 0.4×	20 1.1×	25	468
Mehmet Ali Öztürk Germany	10	244 0.7×	19 0.3×	37 0.6×	51 1.9×	16 0.8×	21	306
Guy Aidelberg Israel	5	273 0.8×	92 1.4×	99 1.6×	10 0.4×	20 1.1×	8	366

Countries citing papers authored by Szilvia Kiriakov

Since Specialization

Citations

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

Fields of papers citing papers by Szilvia Kiriakov

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Szilvia Kiriakov

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Kiriakov, Szilvia, et al.. (2022). A Toolkit for Precise, Multigene Control in Saccharomyces cerevisiae. ACS Synthetic Biology. 11(12). 3912–3920. 21 indexed citations

2.

Kiriakov, Szilvia, et al.. (2020). Protein assembly systems in natural and synthetic biology. BMC Biology. 18(1). 58 indexed citations

3.

Heins, Zachary, Christopher P. Mancuso, Szilvia Kiriakov, et al.. (2019). Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER. Journal of Visualized Experiments. 3 indexed citations

4.

Heins, Zachary, Christopher P. Mancuso, Szilvia Kiriakov, et al.. (2019). Designing Automated, High-throughput, Continuous Cell Growth Experiments Using eVOLVER. Journal of Visualized Experiments. 8 indexed citations

5.

Weinstein, Zohar, Nurdan Kuru, Szilvia Kiriakov, et al.. (2018). Modeling the impact of drug interactions on therapeutic selectivity. Nature Communications. 9(1). 3452–3452. 17 indexed citations

6.

Wong, Brandon G., Christopher P. Mancuso, Szilvia Kiriakov, Caleb J. Bashor, & Ahmad S. Khalil. (2018). Precise, automated control of conditions for high-throughput growth of yeast and bacteria with eVOLVER. Nature Biotechnology. 36(7). 614–623. 161 indexed citations

7.

Newby, Gregory A., Szilvia Kiriakov, Erinc Hallacli, et al.. (2017). A Genetic Tool to Track Protein Aggregates and Control Prion Inheritance. Cell. 171(4). 966–979.e18. 45 indexed citations

8.

Mancuso, Christopher P., Szilvia Kiriakov, & Ahmad S. Khalil. (2016). Cellular Advantages to Signaling in a Digital World. Cell Systems. 3(2). 114–115. 1 indexed citations

9.

Keung, Albert J., Caleb J. Bashor, Szilvia Kiriakov, James J. Collins, & Ahmad S. Khalil. (2014). Using Targeted Chromatin Regulators to Engineer Combinatorial and Spatial Transcriptional Regulation. Cell. 158(1). 110–120. 106 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