Bo Curry

1.7k total citations
10 papers, 1.1k citations indexed

About

Bo Curry is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Bo Curry has authored 10 papers receiving a total of 1.1k 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 Plant Science. Recurrent topics in Bo Curry's work include CRISPR and Genetic Engineering (4 papers), RNA and protein synthesis mechanisms (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Bo Curry is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), RNA and protein synthesis mechanisms (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Bo Curry collaborates with scholars based in United States, Israel and Netherlands. Bo Curry's co-authors include Robert A. Ach, Hui Wang, David E. Rumelhart, Hui Wang, Laurakay Bruhn, Nick Sampas, Doron Lipson, Laurakay Bruhn, Amir Ben‐Dor and Stephen Laderman and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS ONE.

In The Last Decade

Bo Curry

10 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bo Curry United States	9	881	382	244	107	74	10	1.1k
Hui Cao China	17	1.4k 1.6×	149 0.4×	158 0.6×	195 1.8×	66 0.9×	44	1.7k
Leyma P. De Haro United States	7	1.3k 1.5×	235 0.6×	159 0.7×	169 1.6×	379 5.1×	10	1.5k
Sergiu Chira Romania	13	666 0.8×	222 0.6×	167 0.7×	150 1.4×	130 1.8×	27	908
Chanchao Lorthongpanich Thailand	19	831 0.9×	76 0.2×	159 0.7×	76 0.7×	69 0.9×	67	1.2k
Peter Clark United States	16	522 0.6×	147 0.4×	249 1.0×	27 0.3×	41 0.6×	35	855
Iris Müller United Kingdom	16	629 0.7×	80 0.2×	89 0.4×	97 0.9×	210 2.8×	36	987
Yiyang Wu United States	11	549 0.6×	269 0.7×	382 1.6×	69 0.6×	188 2.5×	32	978
Damien J. Downes United Kingdom	20	1.1k 1.2×	112 0.3×	139 0.6×	253 2.4×	50 0.7×	38	1.3k
Danilo Maddalo Germany	12	726 0.8×	123 0.3×	165 0.7×	48 0.4×	191 2.6×	25	968

Countries citing papers authored by Bo Curry

Since Specialization

Citations

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

Fields of papers citing papers by Bo Curry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Curry

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

All Works

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10 of 10 papers shown

Ryan, Daniel E., Israel Steinfeld, David Taussig, et al.. (2022). Phosphonoacetate Modifications Enhance the Stability and Editing Yields of Guide RNAs for Cas9 Editors. Biochemistry. 62(24). 3512–3520. 11 indexed citations

Cromer, M. Kyle, Sriram Vaidyanathan, Daniel E. Ryan, et al.. (2018). Global Transcriptional Response to CRISPR/Cas9-AAV6-Based Genome Editing in CD34+ Hematopoietic Stem and Progenitor Cells. Molecular Therapy. 26(10). 2431–2442. 87 indexed citations

Ryan, Daniel E., David Taussig, Israel Steinfeld, et al.. (2017). Improving CRISPR–Cas specificity with chemical modifications in single-guide RNAs. Nucleic Acids Research. 46(2). 792–803. 214 indexed citations

Sukovich, David J., et al.. (2015). A Method for Multiplex Gene Synthesis Employing Error Correction Based on Expression. PLoS ONE. 10(3). e0119927–e0119927. 5 indexed citations

Gresham, David, Bo Curry, Alexandra Ward, et al.. (2010). Optimized detection of sequence variation in heterozygous genomes using DNA microarrays with isothermal-melting probes. Proceedings of the National Academy of Sciences. 107(4). 1482–1487. 32 indexed citations

Ach, Robert A., Hui Wang, & Bo Curry. (2008). Measuring microRNAs: Comparisons of microarray and quantitative PCR measurements, and of different total RNA prep methods. BMC Biotechnology. 8(1). 69–69. 129 indexed citations

Ach, Robert A., Arno Floore, Bo Curry, et al.. (2007). Robust interlaboratory reproducibility of a gene expression signature measurement consistent with the needs of a new generation of diagnostic tools. BMC Genomics. 8(1). 148–148. 41 indexed citations

Wang, Hui, Robert A. Ach, & Bo Curry. (2006). Direct and sensitive miRNA profiling from low-input total RNA. RNA. 13(1). 151–159. 237 indexed citations

Barrett, Michael T., Amir Ben‐Dor, Nick Sampas, et al.. (2004). Comparative genomic hybridization using oligonucleotide microarrays and total genomic DNA. Proceedings of the National Academy of Sciences. 101(51). 17765–17770. 276 indexed citations

10.

Curry, Bo & David E. Rumelhart. (1990). MSnet: A Neural Network which Classifies Mass Spectra. 3(3-4). 213–237. 100 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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