Justin C. Rolando

746 total citations
9 papers, 564 citations indexed

About

Justin C. Rolando is a scholar working on Molecular Biology, Biomedical Engineering and Physiology. According to data from OpenAlex, Justin C. Rolando has authored 9 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Biomedical Engineering and 2 papers in Physiology. Recurrent topics in Justin C. Rolando's work include Advanced biosensing and bioanalysis techniques (4 papers), Biosensors and Analytical Detection (3 papers) and Gastrointestinal motility and disorders (2 papers). Justin C. Rolando is often cited by papers focused on Advanced biosensing and bioanalysis techniques (4 papers), Biosensors and Analytical Detection (3 papers) and Gastrointestinal motility and disorders (2 papers). Justin C. Rolando collaborates with scholars based in United States and Canada. Justin C. Rolando's co-authors include Rustem F. Ismagilov, Erik Jue, Jacob T. Barlow, Said R. Bogatyrev, Tim Fitzwater, Jonathan D. Vaught, Jeff Carter, Dan Schneider, Bruce E. Eaton and Sheri K. Wilcox and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Analytical Chemistry.

In The Last Decade

Justin C. Rolando

7 papers receiving 545 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Justin C. Rolando United States	7	449	211	86	41	37	9	564
Mengyao Zhang China	10	430 1.0×	252 1.2×	58 0.7×	26 0.6×	16 0.4×	19	550
Soňa Laššáková Czechia	4	169 0.4×	151 0.7×	57 0.7×	28 0.7×	17 0.5×	5	280
Ahmed Mohammed Sudan	7	183 0.4×	68 0.3×	314 3.7×	50 1.2×	30 0.8×	13	458
М. А. Филиппова Russia	11	136 0.3×	52 0.2×	29 0.3×	23 0.6×	28 0.8×	41	307
Siti Hanna Muharram Brunei	7	171 0.4×	29 0.1×	83 1.0×	15 0.4×	17 0.5×	13	313
Suhua He China	9	288 0.6×	77 0.4×	548 6.4×	82 2.0×	31 0.8×	14	748
Howard C. Hang United States	5	220 0.5×	21 0.1×	64 0.7×	27 0.7×	27 0.7×	5	341
Diana I. Ruiz United States	10	255 0.6×	20 0.1×	81 0.9×	30 0.7×	26 0.7×	13	417
Elisabeth Möncke‐Buchner Germany	8	201 0.4×	151 0.7×	214 2.5×	42 1.0×	33 0.9×	14	415
Katja Schlatterer Germany	7	195 0.4×	14 0.1×	107 1.2×	34 0.8×	39 1.1×	7	333

Countries citing papers authored by Justin C. Rolando

Since Specialization

Citations

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

Fields of papers citing papers by Justin C. Rolando

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Justin C. Rolando. 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 Justin C. Rolando. The network helps show where Justin C. Rolando may publish in the future.

Co-authorship network of co-authors of Justin C. Rolando

This figure shows the co-authorship network connecting the top 25 collaborators of Justin C. Rolando. A scholar is included among the top collaborators of Justin C. Rolando 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 Justin C. Rolando. Justin C. Rolando 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

Rolando, Justin C., et al.. (2026). Digital CRISPR-based diagnostics for quantification of Candida auris and resistance mutations. Nature Biomedical Engineering.

Rolando, Justin C., et al.. (2025). Ultrasensitive detection of six sepsis-associated proteins in neonatal saliva. 2(1).

Rolando, Justin C., et al.. (2024). The Present and Future Landscapes of Molecular Diagnostics. Annual Review of Analytical Chemistry. 17(1). 459–474. 12 indexed citations

Schoepp, Nathan G., Matthew M. Cooper, Justin C. Rolando, et al.. (2020). Surfactant-enhanced DNA accessibility to nuclease accelerates phenotypic β-lactam antibiotic susceptibility testing of Neisseria gonorrhoeae. PLoS Biology. 18(3). e3000651–e3000651. 7 indexed citations

Rolando, Justin C., Erik Jue, Jacob T. Barlow, & Rustem F. Ismagilov. (2020). Real-time kinetics and high-resolution melt curves in single-molecule digital LAMP to differentiate and study specific and non-specific amplification. Nucleic Acids Research. 48(7). e42–e42. 157 indexed citations

Bogatyrev, Said R., Justin C. Rolando, & Rustem F. Ismagilov. (2020). Self-reinoculation with fecal flora changes microbiota density and composition leading to an altered bile-acid profile in the mouse small intestine. Microbiome. 8(1). 19–19. 84 indexed citations

Steinberg, Asher Preska, et al.. (2019). High-molecular-weight polymers from dietary fiber drive aggregation of particulates in the murine small intestine. eLife. 8. 8 indexed citations

Rolando, Justin C., Erik Jue, Nathan G. Schoepp, & Rustem F. Ismagilov. (2018). Real-Time, Digital LAMP with Commercial Microfluidic Chips Reveals the Interplay of Efficiency, Speed, and Background Amplification as a Function of Reaction Temperature and Time. Analytical Chemistry. 91(1). 1034–1042. 44 indexed citations

Vaught, Jonathan D., Jeff Carter, Tim Fitzwater, et al.. (2010). Expanding the Chemistry of DNA for in Vitro Selection. Journal of the American Chemical Society. 132(12). 4141–4151. 252 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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