Daniel P. Cetnar

677 total citations
9 papers, 322 citations indexed

About

Daniel P. Cetnar is a scholar working on Molecular Biology, Genetics and Biomedical Engineering. According to data from OpenAlex, Daniel P. Cetnar has authored 9 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Genetics and 2 papers in Biomedical Engineering. Recurrent topics in Daniel P. Cetnar's work include RNA and protein synthesis mechanisms (6 papers), Bacterial Genetics and Biotechnology (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Daniel P. Cetnar is often cited by papers focused on RNA and protein synthesis mechanisms (6 papers), Bacterial Genetics and Biotechnology (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Daniel P. Cetnar collaborates with scholars based in United States, Canada and Germany. Daniel P. Cetnar's co-authors include Howard M. Salis, Amin Espah Borujeni, Iman Farasat, Ayaan Hossain, Devin Strickland, Eric Klavins, Kevin Redding, Bryan Ferlez, Su Lin and John H. Golbeck and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Biotechnology.

In The Last Decade

Daniel P. Cetnar

9 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel P. Cetnar United States	7	281	86	41	35	14	9	322
Xiaohu Song France	9	288 1.0×	136 1.6×	30 0.7×	44 1.3×	19 1.4×	13	404
David L. Shis United States	11	581 2.1×	188 2.2×	60 1.5×	75 2.1×	21 1.5×	14	634
Zhanar Abil United States	12	526 1.9×	96 1.1×	19 0.5×	39 1.1×	7 0.5×	18	594
Monica P. McNerney United States	11	314 1.1×	52 0.6×	29 0.7×	100 2.9×	11 0.8×	12	390
Katia Herz Israel	9	413 1.5×	128 1.5×	41 1.0×	38 1.1×	15 1.1×	11	547
Sarah Guiziou United States	7	297 1.1×	82 1.0×	45 1.1×	24 0.7×	10 0.7×	12	364
Masayuki Yabuta Japan	13	273 1.0×	35 0.4×	16 0.4×	59 1.7×	11 0.8×	26	336
Georg Schendzielorz Germany	4	460 1.6×	95 1.1×	15 0.4×	148 4.2×	43 3.1×	5	529
Stefan Helfrich Germany	10	221 0.8×	36 0.4×	32 0.8×	135 3.9×	17 1.2×	16	339
Anna M. C. Andersson Austria	4	163 0.6×	116 1.3×	30 0.7×	29 0.8×	10 0.7×	4	264

Countries citing papers authored by Daniel P. Cetnar

Since Specialization

Citations

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

Fields of papers citing papers by Daniel P. Cetnar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Cetnar. 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 Daniel P. Cetnar. The network helps show where Daniel P. Cetnar may publish in the future.

Co-authorship network of co-authors of Daniel P. Cetnar

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

All Works

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9 of 9 papers shown

Cetnar, Daniel P., et al.. (2024). Predicting synthetic mRNA stability using massively parallel kinetic measurements, biophysical modeling, and machine learning. Nature Communications. 15(1). 9601–9601. 6 indexed citations

Cetnar, Daniel P., et al.. (2024). An autonomous microbial sensor enables long-term detection of TNT explosive in natural soil. Nature Communications. 15(1). 10471–10471. 5 indexed citations

Hossain, Ayaan, et al.. (2024). Automated Design of Oligopools and Rapid Analysis of Massively Parallel Barcoded Measurements. ACS Synthetic Biology. 13(12). 4218–4232. 1 indexed citations

Cetnar, Daniel P. & Howard M. Salis. (2021). Systematic Quantification of Sequence and Structural Determinants Controlling mRNA stability in Bacterial Operons. ACS Synthetic Biology. 10(2). 318–332. 64 indexed citations

Feroz, Hasin, Daniel P. Cetnar, Satish Kumar Sharma, et al.. (2021). Surrogate model to screen for inactivation‐based clearance of enveloped viruses during biotherapeutics process development. Biotechnology Journal. 16(12). e2100176–e2100176. 6 indexed citations

Hossain, Ayaan, et al.. (2020). Automated design of thousands of nonrepetitive parts for engineering stable genetic systems. Nature Biotechnology. 38(12). 1466–1475. 94 indexed citations

Borujeni, Amin Espah, et al.. (2017). Precise quantification of translation inhibition by mRNA structures that overlap with the ribosomal footprint in N-terminal coding sequences. Nucleic Acids Research. 45(9). 5437–5448. 112 indexed citations

Cetnar, Daniel P., et al.. (2017). An Automated Pipeline for Engineering Many-Enzyme Pathways: Computational Sequence Design, Pathway Expression-Flux Mapping, and Scalable Pathway Optimization. Methods in molecular biology. 1671. 39–61. 7 indexed citations

Ferlez, Bryan, John Cowgill, Weibing Dong, et al.. (2016). Thermodynamics of the Electron Acceptors inHeliobacterium modesticaldum: An Exemplar of an Early Homodimeric Type I Photosynthetic Reaction Center. Biochemistry. 55(16). 2358–2370. 27 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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