H Cerná

530 citations
36 papers · 459 · h-index 12

Impact in

Papers in

    • RNA Research and Splicing 3
    • RNA and protein synthesis mechanisms 3
    • Virus-based gene therapy research 9

H Cerná

35 papers receiving 443 citations

Peers

H Cerná
Comparison fields: 5 of 96
  • Molecular Biology 247
  • Animal Science and Zoology 23
  • Periodontics 9
  • Plant Science 79
  • Environmental Chemistry 21
Replace Joanna Clarkson with:
Joanna Clarkson United Kingdom
Caroline Fauquant France
Grace Lee Picciolo United States
Naoki Tsuruoka Japan
Xiaodan Hu China
Sang Wook Oh South Korea
Vincenzo Granata Italy
Petra Lindner Germany
Xitang Ying China
Nobuko Saito Japan
H Cerná relative to Joanna Clarkson United Kingdom Joanna Clarkson's profile →
Citations per field
00.5×6.5×
Joanna Clarkson · 1×
Citations per year

Countries citing papers authored by H Cerná

Since Specialization
Citations

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

Fields of papers citing papers by H Cerná

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201291
2 201351
3 197146
4 201240
5 201630
6 201129
7 201526
8 200023
9 198715
10 201214
11 201511
12 197211
13 20219
14
Contribution to indication of total therapy with vitamin E in chronic periodontal disease (pilot study).
19849
15 20186
16
Periodontium and vitamin E and A in pregnancy.
19906
17 20114
18 20184
19 20134
20 19773

About H Cerná

H Cerná is a scholar working on Molecular Biology, Genetics, Animal Science and Zoology, Epidemiology and Plant Science, having authored 36 papers that have together received 459 indexed citations. Recurring topics across this work include Virus-based gene therapy research (9 papers), Animal Virus Infections Studies (7 papers), RNA Research and Splicing (3 papers), RNA and protein synthesis mechanisms (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Metal Extraction and Bioleaching (2 papers), Berberine and alkaloids research (2 papers) and Ocular Surface and Contact Lens (2 papers). The work is most often cited by research in Molecular Biology (247 citations), Animal Science and Zoology (23 citations), Periodontics (9 citations), Plant Science (79 citations) and Environmental Chemistry (21 citations). H Cerná has collaborated with scholars based in Czechia, United Kingdom and Germany. Frequent co-authors include Břetislav Brzobohatý, Martin Černý, J. Kára, O Mach, Richard Štefl, Josef Pasulka, Jan Skalák, Karel Kubíček, Ctirad Hofr and Dominika Hroššová. Their work appears in journals such as Journal of Proteomics, Antonie van Leeuwenhoek, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, Catalysis Letters and Biochemical and Biophysical Research Communications.

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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