Razvan Cojocaru

1.0k total citations
8 papers, 589 citations indexed

About

Razvan Cojocaru is a scholar working on Molecular Biology, Infectious Diseases and Astronomy and Astrophysics. According to data from OpenAlex, Razvan Cojocaru has authored 8 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Infectious Diseases and 1 paper in Astronomy and Astrophysics. Recurrent topics in Razvan Cojocaru's work include Advanced biosensing and bioanalysis techniques (6 papers), RNA and protein synthesis mechanisms (5 papers) and DNA and Nucleic Acid Chemistry (3 papers). Razvan Cojocaru is often cited by papers focused on Advanced biosensing and bioanalysis techniques (6 papers), RNA and protein synthesis mechanisms (5 papers) and DNA and Nucleic Acid Chemistry (3 papers). Razvan Cojocaru collaborates with scholars based in Canada, United States and France. Razvan Cojocaru's co-authors include Peter J. Unrau, Elena V. Dolgosheina, Sunny C.Y. Jeng, S. Panchapakesan, Peter D. Wilson, Nancy Hawkins, Paul A. Wiggins, Michaël Ryckelynck, Robert J. Trachman and A.R. Ferré-D′Amaré and has published in prestigious journals such as Science, Analytical Chemistry and Biochemistry.

In The Last Decade

Razvan Cojocaru

8 papers receiving 583 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Razvan Cojocaru Canada	7	552	69	34	32	28	8	589
Roel Maas Netherlands	8	269 0.5×	110 1.6×	49 1.4×	31 1.0×	16 0.6×	8	375
Jared D. Moon United States	6	808 1.5×	90 1.3×	62 1.8×	40 1.3×	63 2.3×	7	857
Kalypso Charalambous United Kingdom	14	406 0.7×	81 1.2×	14 0.4×	44 1.4×	7 0.3×	15	495
Sujay P. Sau United States	15	569 1.0×	107 1.6×	59 1.7×	31 1.0×	4 0.1×	19	649
Alexey S. Morgunov United Kingdom	9	460 0.8×	40 0.6×	40 1.2×	41 1.3×	5 0.2×	12	546
Bishnu P. Paudel Australia	9	285 0.5×	24 0.3×	24 0.7×	49 1.5×	26 0.9×	15	351
Vojtěch Mlýnský Czechia	14	567 1.0×	20 0.3×	70 2.1×	33 1.0×	8 0.3×	30	604
Nilesh B. Karalkar United States	8	571 1.0×	61 0.9×	56 1.6×	44 1.4×	3 0.1×	13	647
Jean Chao United States	8	311 0.6×	60 0.9×	32 0.9×	25 0.8×	49 1.8×	9	384
Ian Farrell United States	8	336 0.6×	48 0.7×	31 0.9×	89 2.8×	25 0.9×	9	418

Countries citing papers authored by Razvan Cojocaru

Since Specialization

Citations

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

Fields of papers citing papers by Razvan Cojocaru

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Razvan Cojocaru

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

All Works

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8 of 8 papers shown

Imiołek, Mateusz, et al.. (2025). High-Throughput Quantification and Characterization of Dual Payload mRNA/LNP Cargo via Deformulating Size Exclusion and Ion Pairing Reversed Phase Assays. Analytical Chemistry. 97(5). 3091–3098. 6 indexed citations

Birdsall, Robert E., et al.. (2024). Monitoring stability indicating impurities and aldehyde content in lipid nanoparticle raw material and formulated drugs. Journal of Chromatography B. 1234. 124005–124005. 10 indexed citations

Cojocaru, Razvan & Peter J. Unrau. (2021). Processive RNA polymerization and promoter recognition in an RNA World. Science. 371(6535). 1225–1232. 37 indexed citations

Cojocaru, Razvan, Peter J. Unrau, Christopher F. Lowe, et al.. (2021). Microchip RT-PCR Detection of Nasopharyngeal SARS-CoV-2 Samples. Journal of Molecular Diagnostics. 23(6). 683–690. 10 indexed citations

Trachman, Robert J., Razvan Cojocaru, Di Wu, et al.. (2020). Structure-Guided Engineering of the Homodimeric Mango-IV Fluorescence Turn-on Aptamer Yields an RNA FRET Pair. Structure. 28(7). 776–785.e3. 25 indexed citations

Trachman, Robert J., Alexis Autour, Sunny C.Y. Jeng, et al.. (2019). Structure and functional reselection of the Mango-III fluorogenic RNA aptamer. Nature Chemical Biology. 15(5). 472–479. 105 indexed citations

Trachman, Robert J., Amir Abdolahzadeh, Alessio Andreoni, et al.. (2018). Crystal Structures of the Mango-II RNA Aptamer Reveal Heterogeneous Fluorophore Binding and Guide Engineering of Variants with Improved Selectivity and Brightness. Biochemistry. 57(26). 3544–3548. 55 indexed citations

Dolgosheina, Elena V., Sunny C.Y. Jeng, S. Panchapakesan, et al.. (2014). RNA Mango Aptamer-Fluorophore: A Bright, High-Affinity Complex for RNA Labeling and Tracking. ACS Chemical Biology. 9(10). 2412–2420. 341 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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