Jan Ryneš

802 citations
13 papers · 568 · h-index 10

Impact in

Papers in

    • DNA and Nucleic Acid Chemistry 5
    • Advanced biosensing and bioanalysis techniques 5
    • RNA and protein synthesis mechanisms 3
    • Protein Structure and Dynamics 2
    • Genomics and Chromatin Dynamics 2

Jan Ryneš

13 papers receiving 563 citations

Peers

Jan Ryneš
Comparison fields: 5 of 72
  • Cellular and Molecular Neuroscience 254
  • Insect Science 147
  • Aging 11
  • Genetics 145
  • Molecular Biology 253
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Chengjun Li China
Wenliang Qian China
E. Thomas Danielsen Denmark
Jian Peng China
Huipeng Yang China
C.G. Yu Canada
Daojun Cheng China
Saurabh G. Roy United States
Ennio Giordano Italy
Madeleine Morinière France
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Citations per field
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Citations per year

Countries citing papers authored by Jan Ryneš

Since Specialization
Citations

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

Fields of papers citing papers by Jan Ryneš

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2011320
2 201263
3 202441
4 201631
5 201825
6 200822
7 202022
8 202311
9 201811
10 201910
11 20235
12 20255
13 20252

About Jan Ryneš

Jan Ryneš is a scholar working on Molecular Biology, Surgery, Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Ecology, having authored 13 papers that have together received 568 indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (5 papers), Advanced biosensing and bioanalysis techniques (5 papers), RNA and protein synthesis mechanisms (3 papers), Protein Structure and Dynamics (2 papers), Genomics and Chromatin Dynamics (2 papers), Advanced NMR Techniques and Applications (1 paper), Chronic Myeloid Leukemia Treatments (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (254 citations), Insect Science (147 citations), Aging (11 citations), Genetics (145 citations) and Molecular Biology (253 citations). Jan Ryneš has collaborated with scholars based in Czechia, France and Germany. Frequent co-authors include Marek Jindra, Keiko Takaki, Thomas Iwema, V. Chandana Epa, Jean‐Philippe Charles, Lukáš Trantı́rek, Silvie Foldynová-Trantírková, Peter Frommolt, Mirka Uhlířová and Susanne Brodesser. Their work appears in journals such as FEBS Letters, Communications Biology, Nature Communications, Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms and Progress in Nuclear Magnetic Resonance Spectroscopy.

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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