Ganna Panasyuk

4.5k total citations
52 papers, 1.4k citations indexed

About

Ganna Panasyuk is a scholar working on Molecular Biology, Neurology and Cell Biology. According to data from OpenAlex, Ganna Panasyuk has authored 52 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 10 papers in Neurology and 9 papers in Cell Biology. Recurrent topics in Ganna Panasyuk's work include PI3K/AKT/mTOR signaling in cancer (13 papers), Neurological diseases and metabolism (10 papers) and RNA modifications and cancer (8 papers). Ganna Panasyuk is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (13 papers), Neurological diseases and metabolism (10 papers) and RNA modifications and cancer (8 papers). Ganna Panasyuk collaborates with scholars based in Ukraine, United Kingdom and France. Ganna Panasyuk's co-authors include Ivan Nemazanyy, Valeriy Filonenko, Mario Pende, Ivan Gout, Alexander Zhyvoloup, M Girard, Jean‐Yves Scoazec, Géraldine Gentric, Valérie Paradis and Séverine Celton‐Morizur and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Ganna Panasyuk

51 papers receiving 1.4k citations

Peers

Ganna Panasyuk
Comparison fields: 5 of 82
  • Molecular Biology 1000
  • Epidemiology 303
  • Cell Biology 271
  • Cancer Research 216
  • Neurology 208
Replace Tabitha C. Ting with:
Tabitha C. Ting United States
Ruize Gao China
Madhavika N. Serasinghe United States
Angelina V. Vaseva United States
Pamela Bielli Italy
Shanmugam Panneer Selvam United States
Yong Jae Shin South Korea
Shinichi Okudaira Japan
Yanhua Zheng China
Yan Xia United States
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Citations per field, relative to Ganna Panasyuk
Ganna Panasyuk · 1×
Citations per year, relative to Ganna Panasyuk
Ganna Panasyuk · 1×

Countries citing papers authored by Ganna Panasyuk

Since Specialization
Citations

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

Fields of papers citing papers by Ganna Panasyuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ganna Panasyuk

This figure shows the co-authorship network connecting the top 25 collaborators of Ganna Panasyuk. A scholar is included among the top collaborators of Ganna Panasyuk 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 Ganna Panasyuk. Ganna Panasyuk 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
# Work Indexed citations
1 0
2 2
3 6
4 2
5 9
6 36
7 82
8 31
9 58
10 175
11 1
12 9
13 126
14 35
15 19
16 5
17 50
18 25
19 3
20 61

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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