R. Hexnerova

499 citations
14 papers · 359 · h-index 12

Impact in

    • Antimicrobial Peptides and Activities
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • RNA and protein synthesis mechanisms 3
    • Ubiquitin and proteasome pathways 2
    • Metabolism, Diabetes, and Cancer 2
    • Protein Structure and Dynamics 2
    • Genomics and Chromatin Dynamics 2
    • Redox biology and oxidative stress 2
    • Endoplasmic Reticulum Stress and Disease 3

R. Hexnerova

13 papers receiving 359 citations

Peers

R. Hexnerova
Comparison fields: 5 of 69
  • Microbiology 27
  • Cell Biology 68
  • Molecular Biology 265
  • Aging 4
  • Physiology 10
Replace Shanna L. Banman with:
Shanna L. Banman Canada
Donald D. Lorimer United States
Roelien A. M. Meijering Netherlands
Christina Grigoriadou United States
Mirko J. Robenek Germany
Katherine M. Nyswaner United States
Qiangmin Zhang United States
Van Kelly United Kingdom
Paula Szalai Norway
Eric T. Christenson United States
R. Hexnerova relative to Shanna L. Banman Canada Shanna L. Banman's profile →
Citations per field
00.5×2.7×
Shanna L. Banman · 1×
Citations per year

Countries citing papers authored by R. Hexnerova

Since Specialization
Citations

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

Fields of papers citing papers by R. Hexnerova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201671
2 202145
3 201644
4 202041
5 201633
6 201925
7 201424
8 201620
9 201620
10 201712
11 202312
12 202311
13 20201
14 20260

About R. Hexnerova

R. Hexnerova is a scholar working on Molecular Biology, Cell Biology, Surgery, Organic Chemistry and Pharmacology, having authored 14 papers that have together received 359 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (3 papers), Pancreatic function and diabetes (3 papers), RNA and protein synthesis mechanisms (3 papers), Ubiquitin and proteasome pathways (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Protein Structure and Dynamics (2 papers), Genomics and Chromatin Dynamics (2 papers) and Redox biology and oxidative stress (2 papers). The work is most often cited by research in Microbiology (27 citations), Cell Biology (68 citations), Molecular Biology (265 citations), Aging (4 citations) and Physiology (10 citations). R. Hexnerova has collaborated with scholars based in Czechia, United States and United Kingdom. Frequent co-authors include Václav Veverka, Pavel Srb, Milan Kožíšek, Lenka Žáková, Jiřı́ Jiráček, Adriana Bäumlová, Jana Humpolíčková, Petr Man, Dominika Chalupská and Jan Tykvart. Their work appears in journals such as Scientific Reports, PLoS ONE, Journal of Natural Products, FEBS Journal and The FASEB Journal.

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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