Brian A. Zakrajsek

2.7k citations
8 papers · 2.2k indexed · 2 hit papers · h-index 7

Brian A. Zakrajsek

8 papers receiving 2.1k citations

Hit Papers

Quantitative Reverse Transcription–Polymerase Chain React...88320002026200820172505007501000

Peers

Brian A. Zakrajsek
Comparison fields: 5 of 130
  • Molecular Biology 1.3k
  • Cancer Research 191
  • Immunology 230
  • Endocrinology 45
  • Genetics 208
Replace Michael W. Reed with:
Michael W. Reed United States
Marcus Gassmann Germany
Karol Mackey United States
Yanling Chen China
Rebecca Hands United Kingdom
Tatsuzo Oka Japan
Jae Man Lee Japan
Hao Chen China
Sean C. Taylor United States
Brian A. Zakrajsek relative to Michael W. Reed United States Michael W. Reed's profile →
Citations per field
00.5×1.5×1.9×
Michael W. Reed · 1×
Citations per year

Countries citing papers authored by Brian A. Zakrajsek

Since Specialization
Citations

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

Fields of papers citing papers by Brian A. Zakrajsek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian A. Zakrajsek. 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 Brian A. Zakrajsek. The network helps show where Brian A. Zakrajsek may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Brian A. Zakrajsek, 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 Brian A. Zakrajsek Line = papers co-authored together Brian A. Zakrajsek links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 200942
2 200879
3 20052
4 200369
5 200320
6
Effect of experimental treatment on housekeeping gene expression: validation by real-time, quantitative RT-PCRbreakdown →
20001062
7 200015
8
Quantitative Reverse Transcription–Polymerase Chain Reaction to Study mRNA Decay: Comparison of Endpoint and Real-Time Methodsbreakdown →
2000883

About Brian A. Zakrajsek

Brian A. Zakrajsek is a scholar working on Electrochemistry, Environmental Engineering and Biochemistry, having authored 8 papers that have together received 2.2k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (3 papers), Molecular Biology Techniques and Applications (2 papers), Electrochemical Analysis and Applications (2 papers), Prostate Cancer Treatment and Research (2 papers), Microbial Fuel Cells and Bioremediation (2 papers), RNA modifications and cancer (1 paper), Radiopharmaceutical Chemistry and Applications (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Molecular Biology (1.3k citations), Cancer Research (191 citations) and Immunology (230 citations). Brian A. Zakrajsek has collaborated with scholars based in United States. Frequent co-authors include Thomas D. Schmittgen, Michael J. Singer, Michael W. Reed, Vladimir V. Gorn, Robert L. Vessella, Lawrence D. True, Y. A. Gorby, Grigoriy E. Pinchuk, Eric A. Hill and Jeffrey S. McLean. Their work appears in journals such as Analytical Biochemistry, International Journal of Cancer and Antioxidants and Redox Signaling.

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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