Brook Pyhtila

846 citations
8 papers · 657 indexed · h-index 7

Impact in

    • RNA Research and Splicing
    • CRISPR and Genetic Engineering
    • RNA and protein synthesis mechanisms
    • Nuclear Structure and Function
    • RNA regulation and disease
    • RNA modifications and cancer

Papers in

Brook Pyhtila

8 papers receiving 650 citations

Peers

Brook Pyhtila
Comparison fields: 5 of 69
  • Molecular Biology 542
  • Clinical Biochemistry 47
  • Plant Science 179
  • Cancer Research 72
  • Cell Biology 71
Replace Jianping Lu with:
Jianping Lu China
Marie L. Rossi United States
Aleksander Chlebowski Poland
Seweryn Mroczek Poland
Evangelia Koutelou United States
Ching-Wen Chang Taiwan
Anna V. Kotrys Poland
H. Shuen Lo United States
Serena Fazio Italy
Ana B. Oromendia United States
Brook Pyhtila relative to Jianping Lu China Jianping Lu's profile →
Citations per field
00.5×4.7×
Jianping Lu · 1×
Citations per year

Countries citing papers authored by Brook Pyhtila

Since Specialization
Citations

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

Fields of papers citing papers by Brook Pyhtila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Brook Pyhtila, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Brook Pyhtila Line = papers co-authored together Brook Pyhtila links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2006302
2 2008113
3 2003100
4 201457
5 200541
6 200836
7 20206
8 20232

About Brook Pyhtila

Brook Pyhtila is a scholar working on Molecular Biology, Business and International Management, Plant Science, Pediatrics, Perinatology and Child Health and Clinical Biochemistry, having authored 8 papers that have together received 657 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), RNA Research and Splicing (3 papers), Innovation and Socioeconomic Development (2 papers), RNA and protein synthesis mechanisms (2 papers), Metabolism and Genetic Disorders (1 paper), MicroRNA in disease regulation (1 paper), Neonatal Health and Biochemistry (1 paper) and Bacterial Genetics and Biotechnology (1 paper). The work is most often cited by research in Molecular Biology (542 citations), Clinical Biochemistry (47 citations), Plant Science (179 citations), Cancer Research (72 citations) and Cell Biology (71 citations). Brook Pyhtila has collaborated with scholars based in United States. Frequent co-authors include Haifan Lin, Michael Rexach, Christopher V. Nicchitta, Patrick J. Lager, Tianli Zheng, Mary C. Reedy, Jack D. Keene, Samuel B. Stephens, Rebecca D. Dodd and Rachel S. Lerner. Their work appears in journals such as The CRISPR Journal, Biochemistry and Cell Biology, Journal of Biological Chemistry, RNA and Proceedings of the National Academy of Sciences.

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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