Robert DeRose

1.0k citations
11 papers · 766 · h-index 9

Impact in

    • Advanced biosensing and bioanalysis techniques
    • CRISPR and Genetic Engineering
    • RNA Research and Splicing
    • RNA and protein synthesis mechanisms
    • Gene Regulatory Network Analysis
  • Biophysics top 10%

Papers in

    • RNA and protein synthesis mechanisms 3
    • RNA Research and Splicing 3
    • Advanced biosensing and bioanalysis techniques 2
    • bioluminescence and chemiluminescence research 2
    • RNA modifications and cancer 2

Robert DeRose

11 papers receiving 756 citations

Peers

Robert DeRose
Comparison fields: 5 of 76
  • Molecular Biology 579
  • Biophysics 47
  • Cell Biology 125
  • Cellular and Molecular Neuroscience 119
  • Aging 7
Replace Chuen Kam with:
Chuen Kam China
Yangqing Xu United States
Jennifer L. Hazen United States
Begoña Sot Spain
Mayu Sugiyama Japan
Ying J. Buechler United States
Martin Stöckl Germany
Tina Lebar Slovenia
Johnathan Chittuluru United States
William J. Deery United States
Robert DeRose relative to Chuen Kam China Chuen Kam's profile →
Citations per field
00.5×3.2×
Chuen Kam · 1×
Citations per year

Countries citing papers authored by Robert DeRose

Since Specialization
Citations

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

Fields of papers citing papers by Robert DeRose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2012174
2 2013171
3 2012140
4 2013103
5 201799
6 200428
7 200815
8 201915
9 201614
10 20126
11 20121

About Robert DeRose

Robert DeRose is a scholar working on Molecular Biology, Cell Biology, Biophysics, Materials Chemistry and Toxicology, having authored 11 papers that have together received 766 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), RNA Research and Splicing (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), bioluminescence and chemiluminescence research (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), RNA modifications and cancer (2 papers), Photochromic and Fluorescence Chemistry (2 papers) and Genetic and Kidney Cyst Diseases (1 paper). The work is most often cited by research in Molecular Biology (579 citations), Biophysics (47 citations), Cell Biology (125 citations), Cellular and Molecular Neuroscience (119 citations) and Aging (7 citations). Robert DeRose has collaborated with scholars based in United States and Japan. Frequent co-authors include Takanari Inoue, Takafumi Miyamoto, Shiva Razavi, Tasuku Ueno, Michael J. Wolfgang, David J. Meyers, Allison Suarez, Melinda Chen, Chandrani Mukherjee and Hideki Nakamura. Their work appears in journals such as Journal of Visualized Experiments, Nature Methods, Pflügers Archiv - European Journal of Physiology, ACS Synthetic Biology and Nature Chemical Biology.

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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