Jan Hoyer

467 citations
10 papers · 403 · h-index 6

Impact in

  • Microbiology top 10%
    • Antimicrobial Peptides and Activities
    • RNA Interference and Gene Delivery
    • Advanced biosensing and bioanalysis techniques
    • DNA and Nucleic Acid Chemistry
    • Chemical Synthesis and Analysis

Papers in

    • Advanced biosensing and bioanalysis techniques 7
    • RNA Interference and Gene Delivery 5
    • Lipid Membrane Structure and Behavior 2
    • DNA and Nucleic Acid Chemistry 1
    • Ferrocene Chemistry and Applications 2

Jan Hoyer

10 papers receiving 402 citations

Peers

Jan Hoyer
Comparison fields: 5 of 54
  • Microbiology 61
  • Molecular Biology 343
  • Biomaterials 43
  • Genetics 58
  • Organic Chemistry 60
Replace Dakota J. Brock with:
Dakota J. Brock United States
Helene L. Åmand Sweden
Jonathan Kearsey France
Jo E. Lomax United States
Irene Martín Germany
Meeri Sassian Estonia
Bart Christiaens Belgium
Katri Rosenthal-Aizman Sweden
Misao Akishiba Japan
Hao‐Hsin Yu Japan
Jan Hoyer relative to Dakota J. Brock United States Dakota J. Brock's profile →
Citations per field
00.5×10×20×32×
Dakota J. Brock · 1×
Citations per year

Countries citing papers authored by Jan Hoyer

Since Specialization
Citations

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

Fields of papers citing papers by Jan Hoyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Jan Hoyer, 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 Jan Hoyer Line = papers co-authored together Jan Hoyer links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2012180
2 200986
3 201250
4 200848
5 201216
6 201010
7 20155
8 20124
9 20133
10 20091

About Jan Hoyer

Jan Hoyer is a scholar working on Molecular Biology, Organic Chemistry, Sociology and Political Science, Information Systems and Hardware and Architecture, having authored 10 papers that have together received 403 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (7 papers), RNA Interference and Gene Delivery (5 papers), Lipid Membrane Structure and Behavior (2 papers), Ferrocene Chemistry and Applications (2 papers), VLSI and Analog Circuit Testing (1 paper), Access Control and Trust (1 paper), DNA and Nucleic Acid Chemistry (1 paper) and Embedded Systems Design Techniques (1 paper). The work is most often cited by research in Microbiology (61 citations), Molecular Biology (343 citations), Biomaterials (43 citations), Genetics (58 citations) and Organic Chemistry (60 citations). Jan Hoyer has collaborated with scholars based in Germany, South Africa and Australia. Frequent co-authors include Ines Neundorf, Ulrich Schatzschneider, Robert C. Rennert, Michaela Schulz‐Siegmund, Stefan Wölfl, Franziska Schramm, Igor Kitanović, Katrin Splith, Harmel W. Peindy N’Dongo and Uta Reibetanz. Their work appears in journals such as Pharmaceuticals, Chemical Communications, Advanced Engineering Materials, Beilstein Journal of Organic Chemistry and Dalton Transactions.

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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