Jan Ryneš

773 citations
13 papers · 528 · h-index 9

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 5
    • DNA and Nucleic Acid Chemistry 5
    • RNA and protein synthesis mechanisms 3
    • Genomics and Chromatin Dynamics 2
    • Protein Structure and Dynamics 2
    • Pancreatic function and diabetes 1

Jan Ryneš

13 papers receiving 525 citations

Peers

Jan Ryneš
Comparison fields: 5 of 73
  • Cellular and Molecular Neuroscience 242
  • Insect Science 146
  • Aging 12
  • Genetics 144
  • Molecular Biology 253
Replace E. Thomas Danielsen with:
E. Thomas Danielsen Denmark
Saurabh G. Roy United States
Chang-Soo Seong United States
Daojun Cheng China
C.G. Yu Canada
Julie L. Hentze Denmark
Silvie Fexová United Kingdom
Pinglei Zhou United States
Madeleine Morinière France
Coralia Pérez Spain
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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 2011297
2 201263
3 202436
4 201630
5 201825
6 200822
7 202021
8 201811
9 201910
10 20236
11 20234
12 20252
13 20251

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 528 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (5 papers), DNA and Nucleic Acid Chemistry (5 papers), RNA and protein synthesis mechanisms (3 papers), Genomics and Chromatin Dynamics (2 papers), Protein Structure and Dynamics (2 papers), Pancreatic function and diabetes (1 paper), Invertebrate Immune Response Mechanisms (1 paper) and Advanced NMR Techniques and Applications (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (242 citations), Insect Science (146 citations), Aging (12 citations), Genetics (144 citations) and Molecular Biology (253 citations). Jan Ryneš has collaborated with scholars based in Czechia, France and Slovenia. 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 Journal of Biomolecular NMR, Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms, FEBS Letters, Nature Communications and Journal of Biological Chemistry.

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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