Ján Jásik

2.8k citations
40 papers · 1.9k indexed · 1 hit paper · h-index 20
Topics
Plant Molecular Biology Research (14 papers)Plant tissue culture and regeneration (14 papers)Plant Reproductive Biology (12 papers)
Partner nations
SlovakiaGermanyChina

In The Last Decade

Ján Jásik

38 papers receiving 1.9k citations

Hit Papers

Duplicated P5CS genes of Arabidopsis play distinct roles ...20072026201320192007100200300400500

Peers

Ján Jásik
Comparison fields: 5 of 80
  • Plant Science 1.7k
  • Molecular Biology 1.2k
  • Cell Biology 163
  • Ecology, Evolution, Behavior and Systematics 54
  • Biotechnology 49
Replace Nathalie Frangne with:
Nathalie Frangne France
Min Gao China
John J. Grant United States
Rosalia Deeken Germany
Jirong Huang China
Rumyana Karlova Netherlands
Chieko Saito Japan
Christophe Reuzeau France
Catherine Perrot‐Rechenmann France
Leonie Steinhorst Germany
Ján Jásik relative to Nathalie Frangne France Nathalie Frangne's profile →
Citations per field
00.5×1.5×1.8×
Nathalie Frangne · 1×
Citations per year

Countries citing papers authored by Ján Jásik

Since Specialization
Citations

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

Fields of papers citing papers by Ján Jásik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ján Jásik

This figure shows the co-authorship network connecting the top 25 collaborators of Ján Jásik. A scholar is included among the top collaborators of Ján Jásik 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 Ján Jásik. Ján Jásik 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 1
2 0
3 12
4 1
5 16
6 0
7 8
8 3
9 10
10 7
11 32
12 8
13 171
14
Duplicated P5CS genes of Arabidopsis play distinct roles in stress regulation and developmental control of proline biosynthesisbreakdown →
564
15 212
16 43
17 12
18 33
19 45
20 2

About Ján Jásik

Ján Jásik is a scholar working on Plant Science, Physiology and Molecular Biology, having authored 40 papers that have together received 1.9k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (14 papers), Plant tissue culture and regeneration (14 papers) and Plant Reproductive Biology (12 papers). The work is most often cited by research in Plant Science (1.7k citations), Molecular Biology (1.2k citations) and Cell Biology (163 citations). Ján Jásik has collaborated with scholars based in Slovakia, Germany and China. Frequent co-authors include Csaba Koncz, František Baluška, G.J.M. de Klerk, Elmon Schmelzer, T. Salajová, Ferhan Ayaydin, Ágnes Cséplö, Gyöngyi Székely, László Szabados and Jolán Csiszár. Their work appears in journals such as PLoS ONE, The Plant Cell and PLANT PHYSIOLOGY.

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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