Jana Janočková

1.5k citations
45 papers · 1.1k indexed · h-index 19
Topics
Cholinesterase and Neurodegenerative Diseases (24 papers)Computational Drug Discovery Methods (17 papers)Alzheimer's disease research and treatments (8 papers)
Partner nations
CzechiaSlovakiaSpain

In The Last Decade

Jana Janočková

44 papers receiving 1.1k citations

Peers

Jana Janočková
Comparison fields: 5 of 94
  • Pharmacology 449
  • Molecular Biology 425
  • Organic Chemistry 419
  • Computational Theory and Mathematics 282
  • Physiology 144
Replace Маргарита Е. Неганова with:
Маргарита Е. Неганова Russia
Ashraf Khalil Qatar
Farshad Homayouni Moghadam Iran
Santiago Conde Spain
Varghese John United States
Alex S. Kiselyov Russia
Uwe Grether Switzerland
Yongping Yu China
Michael R. Wood United States
Orazio Prezzavento Italy
Jana Janočková relative to Маргарита Е. Неганова Russia Маргарита Е. Неганова's profile →
Citations per field
00.5×3.5×
Маргарита Е. Неганова · 1×
Citations per year

Countries citing papers authored by Jana Janočková

Since Specialization
Citations

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

Fields of papers citing papers by Jana Janočková

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jana Janočková

This figure shows the co-authorship network connecting the top 25 collaborators of Jana Janočková. A scholar is included among the top collaborators of Jana Janočková 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 Jana Janočková. Jana Janočková 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 2
2 12
3 9
4 19
5 13
6 96
7 8
8 25
9 5
10 28
11 4
12 16
13 56
14 7
15 9
16 35
17 7
18 25
19 6
20 2

About Jana Janočková

Jana Janočková is a scholar working on Pharmacology, Toxicology and Computational Theory and Mathematics, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cholinesterase and Neurodegenerative Diseases (24 papers), Computational Drug Discovery Methods (17 papers) and Alzheimer's disease research and treatments (8 papers). The work is most often cited by research in Pharmacology (449 citations), Computational Theory and Mathematics (282 citations) and Toxicology (60 citations). Jana Janočková has collaborated with scholars based in Czechia, Slovakia and Spain. Frequent co-authors include Ondřej Soukup, Tímea Špaková, Ján Rosocha, Kamil Kuča, Jan Korábečný, Lucia Slovinská, Denisa Harvanová, Daniel Jun, Rafael Doležal and Mária Kožurková. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences and Journal of Medicinal Chemistry.

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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