Csilla Sipeky

7.3k citations
39 papers · 731 · h-index 18

Impact in

  • Pharmacology top 10%
    • Pharmacogenetics and Drug Metabolism
    • Psoriasis: Treatment and Pathogenesis
    • Immunodeficiency and Autoimmune Disorders

Papers in

Csilla Sipeky

36 papers receiving 718 citations

Peers

Csilla Sipeky
Comparison fields: 5 of 84
  • Pharmacology 70
  • Immunology 147
  • Rheumatology 79
  • Hematology 54
  • Cancer Research 61
Replace Luca Járomi with:
Luca Járomi Hungary
Tianbo Jin China
Cristina Bozzola Italy
Cassie Keener United States
Balraj Mittal India
Hye‐Jin Son South Korea
Samir Saheb France
Braulio Martínez‐Benítez Mexico
Weidong Xu China
Monica Ceol Italy
Csilla Sipeky relative to Luca Járomi Hungary Luca Járomi's profile →
Citations per field
00.5×3.0×
Luca Járomi · 1×
Citations per year

Countries citing papers authored by Csilla Sipeky

Since Specialization
Citations

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

Fields of papers citing papers by Csilla Sipeky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007112
2 200957
3 200750
4 201948
5 200837
6 201832
7 201031
8 200931
9 201829
10 201825
11 201024
12 202023
13 201821
14 200920
15 201920
16 200918
17 200918
18 201317
19 201015
20 201413

About Csilla Sipeky

Csilla Sipeky is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Pharmacology and Oncology, having authored 39 papers that have together received 731 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (8 papers), Prostate Cancer Treatment and Research (7 papers), Psoriasis: Treatment and Pathogenesis (4 papers), Genetic Associations and Epidemiology (4 papers), Drug Transport and Resistance Mechanisms (3 papers), Prostate Cancer Diagnosis and Treatment (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Inflammatory Bowel Disease (3 papers). The work is most often cited by research in Pharmacology (70 citations), Immunology (147 citations), Rheumatology (79 citations), Hematology (54 citations) and Cancer Research (61 citations). Csilla Sipeky has collaborated with scholars based in Hungary, Finland and Belgium. Frequent co-authors include Béla Melegh, Luca Járomi, Veronika Csöngei, Enikő Sáfrány, Anita Maász, Katalin Horvatovich, Lili Magyari, Noémi Polgár, Johanna Schleutker and Bernadett Faragó. Their work appears in journals such as Molecular Biology Reports, Environmental Toxicology and Pharmacology, Pathology & Oncology Research, Pharmacogenomics and Genes.

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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