Ryan J. Protzko

1.6k total citations · 1 hit paper
9 papers, 1.2k citations indexed

About

Ryan J. Protzko is a scholar working on Biomedical Engineering, Molecular Biology and Sensory Systems. According to data from OpenAlex, Ryan J. Protzko has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 4 papers in Molecular Biology and 3 papers in Sensory Systems. Recurrent topics in Ryan J. Protzko's work include Biofuel production and bioconversion (4 papers), Polysaccharides and Plant Cell Walls (3 papers) and Biochemical Analysis and Sensing Techniques (3 papers). Ryan J. Protzko is often cited by papers focused on Biofuel production and bioconversion (4 papers), Polysaccharides and Plant Cell Walls (3 papers) and Biochemical Analysis and Sensing Techniques (3 papers). Ryan J. Protzko collaborates with scholars based in United States, Germany and Denmark. Ryan J. Protzko's co-authors include Jennifer L. Pluznick, Stuart Firestein, Isabelle Brunet, Anne Eichmann, Michael J. Caplan, Arnold Sipos, Haykanush Gevorgyan, Jinah Han, Zita Peterlin and Federico E. Rey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Ryan J. Protzko

9 papers receiving 1.2k citations

Hit Papers

Olfactory receptor responding to gut microbiota-derived s... 2013 2026 2017 2021 2013 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan J. Protzko United States 8 747 449 305 205 197 9 1.2k
Fabienne Laugerette France 19 783 1.0× 807 1.8× 911 3.0× 342 1.7× 193 1.0× 39 2.2k
Frédéric Raymond Switzerland 20 1.2k 1.6× 878 2.0× 262 0.9× 111 0.5× 70 0.4× 33 2.1k
Izumi Kaji United States 20 767 1.0× 446 1.0× 407 1.3× 188 0.9× 86 0.4× 66 1.8k
Shin-ichiro Karaki Japan 19 945 1.3× 703 1.6× 597 2.0× 235 1.1× 101 0.5× 47 2.0k
Oliver J. Mace United Kingdom 15 403 0.5× 271 0.6× 737 2.4× 255 1.2× 109 0.6× 16 1.5k
Julie Affleck United Kingdom 14 387 0.5× 222 0.5× 607 2.0× 223 1.1× 101 0.5× 16 1.2k
Alice P. Liou United States 13 758 1.0× 826 1.8× 373 1.2× 80 0.4× 40 0.2× 17 1.8k
Arianna Psichas United Kingdom 12 718 1.0× 625 1.4× 319 1.0× 63 0.3× 15 0.1× 19 1.4k
Fabienne De Backer Belgium 14 1.6k 2.1× 1.1k 2.4× 527 1.7× 17 0.1× 77 0.4× 17 2.4k
Dominic‐Luc Webb Sweden 20 298 0.4× 301 0.7× 146 0.5× 28 0.1× 26 0.1× 54 1.1k

Countries citing papers authored by Ryan J. Protzko

Since Specialization
Citations

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

Fields of papers citing papers by Ryan J. Protzko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan J. Protzko. 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 Ryan J. Protzko. The network helps show where Ryan J. Protzko may publish in the future.

Co-authorship network of co-authors of Ryan J. Protzko

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

All Works

9 of 9 papers shown
1.
Protzko, Ryan J., Samuel T. Coradetti, Nils Thieme, et al.. (2019). Genomewide and Enzymatic Analysis Reveals Efficient d -Galacturonic Acid Metabolism in the Basidiomycete Yeast Rhodosporidium toruloides. mSystems. 4(6). 23 indexed citations
2.
Protzko, Ryan J., et al.. (2019). Iterative screening methodology enables isolation of strains with improved properties for a FACS-based screen and increased L-DOPA production. Scientific Reports. 9(1). 5815–5815. 26 indexed citations
3.
Protzko, Ryan J., et al.. (2019). Spotlight on fungal pectin utilization—from phytopathogenicity to molecular recognition and industrial applications. Applied Microbiology and Biotechnology. 103(6). 2507–2524. 25 indexed citations
4.
Protzko, Ryan J., et al.. (2018). Engineering Saccharomyces cerevisiae for co-utilization of d-galacturonic acid and d-glucose from citrus peel waste. Nature Communications. 9(1). 5059–5059. 75 indexed citations
5.
Aisenberg, William H., et al.. (2014). Identification and Characterization of Novel Renal Sensory Receptors. PLoS ONE. 9(10). e111053–e111053. 52 indexed citations
7.
Pluznick, Jennifer L., Ryan J. Protzko, Haykanush Gevorgyan, et al.. (2013). Olfactory receptor responding to gut microbiota-derived signals plays a role in renin secretion and blood pressure regulation. Proceedings of the National Academy of Sciences. 110(11). 4410–4415. 888 indexed citations breakdown →
8.
Shepard, Blythe D., et al.. (2013). A Cleavable N-Terminal Signal Peptide Promotes Widespread Olfactory Receptor Surface Expression in HEK293T Cells. PLoS ONE. 8(7). e68758–e68758. 66 indexed citations
9.
Protzko, Ryan J., et al.. (2012). Research Article: A scaled-down and simplified protocol for purifying recombinantTaqDNA polymerase. BIOS. 83(1). 8–11. 2 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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