Csilla Páska

1.4k citations
28 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

28 papers receiving 1.1k citations

Peers

Csilla Páska
Comparison fields: 5 of 93
  • Neurology 412
  • Cancer Research 215
  • Hepatology 105
  • Pulmonary and Respiratory Medicine 189
  • Molecular Biology 370
Replace Ruchika Gangwar with:
Ruchika Gangwar India
Bingjiao Yin China
Zheng Lou China
H. Atakan Ekiz United States
Soo‐Ho Choi United States
Matija Zelic United States
Ju Ho Youn South Korea
Juan Qian China
Csilla Páska relative to Ruchika Gangwar India Ruchika Gangwar's profile →
Citations per field
00.5×7.5×
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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005217
2 2003117
3 200589
4 200374
5 200472
6 200765
7 200864
8 200458
9 200549
10 200641
11 200736
12 200634
13 200532
14 200727
15 200225
16 202018
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 Plant Science, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Barrier Structure and Function Studies (9 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), Ferroptosis and cancer prognosis (3 papers), Phytochemistry and Biological Activities (3 papers), Plant-derived Lignans Synthesis and Bioactivity (3 papers), Hepatitis B Virus Studies (2 papers), Obstructive Sleep Apnea Research (2 papers) and Phytochemical compounds biological activities (2 papers). The work is most often cited by research in Neurology (412 citations), Cancer Research (215 citations), Hepatology (105 citations), Pulmonary and Respiratory Medicine (189 citations) and Molecular Biology (370 citations). Csilla Páska has collaborated with scholars based in Hungary, Italy and Czechia. Frequent co-authors include András Kiss, Zsuzsa Schaff, Pál Kaposi Novák, Gábor Lotz, Gábor Sobel, László Szilák, Anna‐Mária Tõkés, István Szabó, Sándor Paku and Janina Kulka. Their work appears in journals such as Pathology & Oncology Research, Human Pathology, International Journal of COPD, Journal of Sleep Research and Scientific Reports.

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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