H Cerná

529 citations
36 papers · 434 · 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 418 citations

Peers

H Cerná
Comparison fields: 5 of 97
  • Molecular Biology 244
  • Animal Science and Zoology 23
  • Environmental Chemistry 22
  • Plant Science 77
  • Water Science and Technology 25
Replace Torgny Låås with:
Torgny Låås Sweden
Gerardo Medina Mexico
Hai Hou China
Joanna Clarkson United Kingdom
Caroline Fauquant France
Bo Skoog Sweden
Xiaodong Su China
Petra Lindner Germany
Monica Rodríguez-Silva United States
Nobuko Saito Japan
H Cerná relative to Torgny Låås Sweden Torgny Låås's profile →
Citations per field
00.5×
Torgny Låås · 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 201287
2 201347
3 197140
4 201238
5 201629
6 201129
7 201525
8 200023
9 201214
10 198712
11 201511
12 197211
13 20219
14
Contribution to indication of total therapy with vitamin E in chronic periodontal disease (pilot study).
19848
15 20186
16
Periodontium and vitamin E and A in pregnancy.
19905
17 20114
18 20184
19 20134
20 19813

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 434 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), Plant Virus Research Studies (2 papers), Ocular Surface and Contact Lens (2 papers), Metal Extraction and Bioleaching (2 papers) and Plant-based Medicinal Research (2 papers). The work is most often cited by research in Molecular Biology (244 citations), Animal Science and Zoology (23 citations), Environmental Chemistry (22 citations), Plant Science (77 citations) and Water Science and Technology (25 citations). H Cerná has collaborated with scholars based in Czechia, Germany and United Kingdom. Frequent co-authors include Břetislav Brzobohatý, Martin Černý, J. Kára, Josef Pasulka, O Mach, Richard Štefl, Jan Skalák, Karel Kubíček, Dominika Hroššová and Ctirad Hofr. Their work appears in journals such as Journal of Proteomics, Antonie van Leeuwenhoek, Journal of Cellular Biochemistry, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics and Immunology.

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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