Philip Petersen

768 citations
5 papers · 608 · 1 hit paper · h-index 4

Impact in

    • Advanced biosensing and bioanalysis techniques
    • RNA Interference and Gene Delivery
    • DNA and Nucleic Acid Chemistry
    • DNA and Biological Computing
  • Ecology top 10%
    • Bacteriophages and microbial interactions

Papers in

    • Advanced biosensing and bioanalysis techniques 5
    • DNA and Nucleic Acid Chemistry 3
    • RNA Interference and Gene Delivery 3
    • DNA and Biological Computing 1
    • Bacteriophages and microbial interactions 3

Philip Petersen

5 papers receiving 602 citations

Philip Petersen's Hit Papers

Fractal assembly of micrometre-scale DNA origami arrays with arbitrary patterns 2017 · 399 citations
3990+3+6Years since publication100200300

Peers

Philip Petersen
Comparison fields: 5 of 39
  • Molecular Biology 550
  • Ecology 130
  • Biomedical Engineering 190
  • Biomaterials 49
  • Structural Biology 2
Replace Swarup Dey with:
Swarup Dey United States
Elena M. Willner Germany
Abdulmelik Mohammed Finland
Sudheer Sahu United States
Philip Ketterer Germany
Sungwook Woo South Korea
Stephan Renner Germany
Robert D. Barish United States
Daniel Schiffels United States
Hari K. K. Subramanian United States
Philip Petersen relative to Swarup Dey United States Swarup Dey's profile →
Citations per field
00.5×1.5×2.5×
Swarup Dey · 1×
Citations per year

Countries citing papers authored by Philip Petersen

Since Specialization
Citations

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

Fields of papers citing papers by Philip Petersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Philip Petersen, 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 Philip Petersen Line = papers co-authored together Philip Petersen links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown
#Work
1
Fractal assembly of micrometre-scale DNA origami arrays with arbitrary patterns
Hit paper breakdown →
2017399
2 201696
3 201867
4 201845
5 20151

About Philip Petersen

Philip Petersen is a scholar working on Molecular Biology, Ecology, Infectious Diseases, Organic Chemistry and Surgery, having authored 5 papers that have together received 608 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (5 papers), DNA and Nucleic Acid Chemistry (3 papers), Bacteriophages and microbial interactions (3 papers), RNA Interference and Gene Delivery (3 papers) and DNA and Biological Computing (1 paper). The work is most often cited by research in Molecular Biology (550 citations), Ecology (130 citations), Biomedical Engineering (190 citations), Biomaterials (49 citations) and Structural Biology (2 citations). Philip Petersen has collaborated with scholars based in United States. Frequent co-authors include Lulu Qian and Grigory Tikhomirov. Their work appears in journals such as Nature, Journal of the American Chemical Society, Journal of Biomolecular Structure and Dynamics, Nature Communications and Nature Nanotechnology.

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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