James R. Rybarski

839 total citations
13 papers, 537 citations indexed

About

James R. Rybarski is a scholar working on Molecular Biology, Materials Chemistry and Aging. According to data from OpenAlex, James R. Rybarski has authored 13 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Materials Chemistry and 3 papers in Aging. Recurrent topics in James R. Rybarski's work include Advanced biosensing and bioanalysis techniques (6 papers), CRISPR and Genetic Engineering (5 papers) and Nanocluster Synthesis and Applications (3 papers). James R. Rybarski is often cited by papers focused on Advanced biosensing and bioanalysis techniques (6 papers), CRISPR and Genetic Engineering (5 papers) and Nanocluster Synthesis and Applications (3 papers). James R. Rybarski collaborates with scholars based in United States, South Korea and Germany. James R. Rybarski's co-authors include Ilya J. Finkelstein, Fatema A. Saifuddin, Isabel Strohkendl, Rick Russell, Stephen K. Jones, Kuang Hu, Cheulhee Jung, John A. Hawkins, William H. Press and Claus O. Wilke and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Advanced Materials.

In The Last Decade

James R. Rybarski

12 papers receiving 530 citations

Peers

James R. Rybarski

MB

GENET

PS

AGING

BE

Maximiliaan Huisman United States

Anthony J. Garrity United States

Emeric Charles United States

Kangin Lee South Korea

Fatema A. Saifuddin United States

Muzi Hu China

Karthik Murugan United States

You Kyeong Jeong South Korea

Ning Guo United States

Petra Páleníková United Kingdom

Maximiliaan Huisman United States

James R. Rybarski

541 ×1.1

MB

65 ×1.1

GENET

64 ×1.3

PS

28 ×0.6

AGING

20 ×0.5

BE

Citations per year, relative to James R. Rybarski James R. Rybarski (= 1×) peers Maximiliaan Huisman

Countries citing papers authored by James R. Rybarski

Since Specialization

Citations

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

Fields of papers citing papers by James R. Rybarski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James R. Rybarski. 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 James R. Rybarski. The network helps show where James R. Rybarski may publish in the future.

Co-authorship network of co-authors of James R. Rybarski

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

All Works

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13 of 13 papers shown

1.

Yuan, Kuo, Cheulhee Jung, Yu‐An Chen, et al.. (2022). Massively Parallel Selection of NanoCluster Beacons (Adv. Mater. 41/2022). Advanced Materials. 34(41).

2.

Yuan, Kuo, Cheulhee Jung, Yu‐An Chen, et al.. (2022). Massively Parallel Selection of NanoCluster Beacons. Advanced Materials. 34(41). e2204957–e2204957. 16 indexed citations

3.

Rybarski, James R., et al.. (2021). Metagenomic discovery of CRISPR-associated transposons. Proceedings of the National Academy of Sciences. 118(49). 56 indexed citations

4.

Jones, Stephen K., John A. Hawkins, Nicole V. Johnson, et al.. (2021). Massively Parallel Kinetic Profiling of Natural and Engineered CRISPR Nucleases. Biophysical Journal. 120(3). 138a–138a. 2 indexed citations

5.

Rybarski, James R., et al.. (2021). Opfi: A Python package for identifying gene clusters in large genomics and metagenomics data sets. The Journal of Open Source Software. 6(66). 3678–3678. 2 indexed citations

6.

Jones, Stephen K., John A. Hawkins, Nicole V. Johnson, et al.. (2020). Massively parallel kinetic profiling of natural and engineered CRISPR nucleases. Nature Biotechnology. 39(1). 84–93. 93 indexed citations

7.

Yuan, Kuo, Oliver Zhao, Hung‐Che Kuo, et al.. (2020). Massively Parallel Activator Selection of Nanocluster Beacons. Biophysical Journal. 118(3). 624a–624a. 1 indexed citations

8.

Jung, Cheulhee, Yu‐An Chen, James R. Rybarski, et al.. (2019). High-throughput activator sequence selection for silver nanocluster beacons. 18–18. 2 indexed citations

9.

Strohkendl, Isabel, Fatema A. Saifuddin, James R. Rybarski, Ilya J. Finkelstein, & Rick Russell. (2018). Kinetic Basis for DNA Target Specificity of CRISPR-Cas12a. Molecular Cell. 71(5). 816–824.e3. 233 indexed citations

10.

Jones, Stephen K., Eric C. Spivey, James R. Rybarski, & Ilya J. Finkelstein. (2018). A Microfluidic Device for Massively Parallel, Whole-lifespan Imaging of Single Fission Yeast Cells. BIO-PROTOCOL. 8(7). 3 indexed citations

11.

Jones, Stephen K., et al.. (2018). Noncoding RNA-nucleated heterochromatin spreading is intrinsically labile and requires accessory elements for epigenetic stability. eLife. 7. 28 indexed citations

12.

Jung, Cheulhee, John A. Hawkins, Stephen K. Jones, et al.. (2017). Massively Parallel Biophysical Analysis of CRISPR-Cas Complexes on Next Generation Sequencing Chips. Cell. 170(1). 35–47.e13. 74 indexed citations

13.

Spivey, Eric C., Stephen K. Jones, James R. Rybarski, Fatema A. Saifuddin, & Ilya J. Finkelstein. (2017). An aging-independent replicative lifespan in a symmetrically dividing eukaryote. eLife. 6. 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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