Jan Riedl

410 citations
7 papers · 365 · h-index 7

Impact in

    • Advanced biosensing and bioanalysis techniques
    • DNA and Nucleic Acid Chemistry
    • RNA Interference and Gene Delivery
    • RNA and protein synthesis mechanisms
    • DNA Repair Mechanisms
    • Click Chemistry and Applications

Papers in

    • Advanced biosensing and bioanalysis techniques 5
    • DNA and Nucleic Acid Chemistry 5
    • Epigenetics and DNA Methylation 1
    • Molecular Biology Techniques and Applications 1
    • Click Chemistry and Applications 3

Jan Riedl

7 papers receiving 360 citations

Peers

Jan Riedl
Comparison fields: 5 of 39
  • Molecular Biology 308
  • Organic Chemistry 85
  • Physical and Theoretical Chemistry 16
  • Spectroscopy 23
  • Materials Chemistry 50
Replace Felix Hövelmann with:
Felix Hövelmann Germany
Tatyana V. Abramova Russia
Y. MASAKI Japan
Martial Say United States
George W. Preston United Kingdom
Rafael Claveria‐Gimeno Spain
Jana Gallová Slovakia
Irene Gómez‐Pinto Spain
Keiichiro Kanatani Japan
Peggy R. Bohländer Germany
Jan Riedl relative to Felix Hövelmann Germany Felix Hövelmann's profile →
Citations per field
00.5×1.6×
Felix Hövelmann · 1×
Citations per year

Countries citing papers authored by Jan Riedl

Since Specialization
Citations

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

Fields of papers citing papers by Jan Riedl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Jan Riedl, 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 Riedl Line = papers co-authored together Jan Riedl links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 201577
2 201174
3 201270
4 201266
5 201634
6 200924
7 201620

About Jan Riedl

Jan Riedl is a scholar working on Molecular Biology, Organic Chemistry, Biomedical Engineering, Oncology and Computational Mechanics, having authored 7 papers that have together received 365 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (5 papers), DNA and Nucleic Acid Chemistry (5 papers), Click Chemistry and Applications (3 papers), Nanopore and Nanochannel Transport Studies (2 papers), Epigenetics and DNA Methylation (1 paper), Ion-surface interactions and analysis (1 paper), Membrane-based Ion Separation Techniques (1 paper) and Molecular Biology Techniques and Applications (1 paper). The work is most often cited by research in Molecular Biology (308 citations), Organic Chemistry (85 citations), Physical and Theoretical Chemistry (16 citations), Spectroscopy (23 citations) and Materials Chemistry (50 citations). Jan Riedl has collaborated with scholars based in Czechia, United States and Germany. Frequent co-authors include Michal Hocek, Radek Pohl, Aaron M. Fleming, Cynthia J. Burrows, Miroslav Fojta, Lubomı́r Rulı́šek, Yun Ding, Petra Ménová, N. P. Érnsting and Henry S. White. Their work appears in journals such as The Journal of Organic Chemistry, European Journal of Organic Chemistry, Journal of the American Chemical Society, ACS Nano and Chemical Science.

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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