Ferenc Marincs

524 citations
22 papers · 385 indexed · h-index 11
Topics
Genetic and phenotypic traits in livestock (5 papers)Genetic Mapping and Diversity in Plants and Animals (5 papers)Plant Stress Responses and Tolerance (4 papers)

In The Last Decade

Ferenc Marincs

22 papers receiving 374 citations

Peers

Ferenc Marincs
Comparison fields: 5 of 65
  • Molecular Biology 212
  • Plant Science 136
  • Genetics 101
  • Biomedical Engineering 50
  • Ecology 27
Replace G. Miksch with:
G. Miksch Germany
Binzhang Shen United States
Kersti Kristjuhan Estonia
Kui Li China
Maria V. Vitushkina Russia
Ruth S. Chesnut United States
James F. H. Wong United States
Luísa Czamanski Nora Brazil
Xudong Zhao China
Françoise de la Torre France
Ferenc Marincs relative to G. Miksch Germany G. Miksch's profile →
Citations per field
00.5×9.3×
G. Miksch · 1×
Citations per year

Countries citing papers authored by Ferenc Marincs

Since Specialization
Citations

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

Fields of papers citing papers by Ferenc Marincs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ferenc Marincs

This figure shows the co-authorship network connecting the top 25 collaborators of Ferenc Marincs. A scholar is included among the top collaborators of Ferenc Marincs based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ferenc Marincs. Ferenc Marincs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Discrimination of grape varieties by Start Codon targeted genotyping using partially degenerate primers
2
2 9
3 5
4 5
5 22
6 1
7 14
8 39
9 5
10 9
11 9
12 52
13 28
14 32
15 35
16 38
17 10
18 3
19 2
20 6

About Ferenc Marincs

Ferenc Marincs is a scholar working on Genetics, Plant Science and Biotechnology, having authored 22 papers that have together received 385 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (5 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and Plant Stress Responses and Tolerance (4 papers). The work is most often cited by research in Plant Science (136 citations), Genetics (101 citations) and Molecular Biology (212 citations). Ferenc Marincs has collaborated with scholars based in Hungary, New Zealand and United Kingdom. Frequent co-authors include Derek W. R. White, Zsófia Bánfalvi, Mihály Kondrák, Tibor Nagy, Peter G. Stockley, Balázs Kalapos, János Molnár, Endre Barta, Viktor Stéger and Kenneth J. McDowall. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Molecular Biology.

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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