Csilla Páska

1.4k citations
27 papers · 1.1k · h-index 16

Impact in

  • Neurology top 2%
    • Barrier Structure and Function Studies
    • Neurological Disease Mechanisms and Treatments
    • Cancer-related molecular mechanisms research

Papers in

Csilla Páska

27 papers receiving 1.1k citations

Peers

Csilla Páska
Comparison fields: 5 of 97
  • Neurology 424
  • Cancer Research 260
  • Hepatology 118
  • Pulmonary and Respiratory Medicine 226
  • Molecular Biology 408
Replace Ruchika Gangwar with:
Ruchika Gangwar India
Bingjiao Yin China
Chun‐Jung Ko Taiwan
Carlton L. Schwab United States
Sofie Starckx Belgium
Juan Qian China
Luman Wang China
Chunbin Zou United States
Csilla Páska relative to Ruchika Gangwar India Ruchika Gangwar's profile →
Citations per field
00.5×6.9×
Ruchika Gangwar · 1×
Citations per year

Countries citing papers authored by Csilla Páska

Since Specialization
Citations

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

Fields of papers citing papers by Csilla Páska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Csilla Páska, 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 Csilla Páska Line = papers co-authored together Csilla Páska links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005217
2 2003117
3 200589
4 200375
5 200472
6 200764
7 200863
8 200458
9 200549
10 200640
11 200735
12 200634
13 200532
14 200727
15 200224
16 202017
17 199913
18
[Biological activity and structure of antitumor compounds from Plantago media L].
199912
19 202212
20 200512

About Csilla Páska

Csilla Páska is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Neurology, Physiology and Cancer Research, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Barrier Structure and Function Studies (9 papers), Cancer-related molecular mechanisms research (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), Ferroptosis and cancer prognosis (3 papers), Asthma and respiratory diseases (3 papers), Neurological Disease Mechanisms and Treatments (3 papers), Phytochemistry and Biological Activities (3 papers) and Plant-derived Lignans Synthesis and Bioactivity (3 papers). The work is most often cited by research in Neurology (424 citations), Cancer Research (260 citations), Hepatology (118 citations), Pulmonary and Respiratory Medicine (226 citations) and Molecular Biology (408 citations). Csilla Páska has collaborated with scholars based in Hungary, Italy and France. Frequent co-authors include András Kiss, Zsuzsa Schaff, Liliána Szabó, Pál Kaposi Novák, Gábor Lotz, Gábor Sobel, Anna‐Mária Tõkés, László Szilák, István Szabó and Sándor Paku. Their work appears in journals such as Pathology & Oncology Research, Human Pathology, International Journal of COPD, Scientific Reports and Journal of Sleep Research.

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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