Tímea Csák

5.3k citations
43 papers · 4.7k · 2 hit papers · h-index 27

Impact in

Papers in

Tímea Csák

42 papers receiving 4.6k citations

Tímea Csák's Hit Papers

The pro-inflammatory effects of miR-155 promote liver fibrosis and alcohol-induced steatohepatitis 2016 · 273 citations
2730+4+9Years since publication200400600

Peers

Tímea Csák
Comparison fields: 5 of 86
  • Hepatology 728
  • Pathology and Forensic Medicine 877
  • Epidemiology 1.2k
  • Biological Psychiatry 46
  • Cancer Research 433
Replace Donna E. Catalano with:
Donna E. Catalano United States
Aditya Ambade United States
Yosuke Osawa Japan
Matthew D. McGeough United States
Adeline Bertola United States
Shuang Liang China
Mingjiang Xu United States
Shunhei Yamashina Japan
Yuehua Li China
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Citations per field
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Citations per year

Countries citing papers authored by Tímea Csák

Since Specialization
Citations

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

Fields of papers citing papers by Tímea Csák

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1
IL-1 receptor antagonist ameliorates inflammasome-dependent alcoholic steatohepatitis in mice
Hit paper breakdown →
2012649
2 2011579
3 2012451
4 2013389
5 2010352
6
The pro-inflammatory effects of miR-155 promote liver fibrosis and alcohol-induced steatohepatitis
Hit paper breakdown →
2016273
7 2011205
8 2013188
9 2011174
10 2013129
11 2015128
12 2014122
13 2015118
14 2010109
15 2010106
16 201481
17 201581
18 201779
19 201678
20 201273

About Tímea Csák

Tímea Csák is a scholar working on Hepatology, Pathology and Forensic Medicine, Epidemiology, Immunology and Cancer Research, having authored 43 papers that have together received 4.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (13 papers), Alcohol Consumption and Health Effects (11 papers), Inflammasome and immune disorders (6 papers), Liver physiology and pathology (5 papers), MicroRNA in disease regulation (4 papers), Liver Disease and Transplantation (4 papers), interferon and immune responses (3 papers) and Liver Diseases and Immunity (3 papers). The work is most often cited by research in Hepatology (728 citations), Pathology and Forensic Medicine (877 citations), Epidemiology (1.2k citations), Biological Psychiatry (46 citations) and Cancer Research (433 citations). Tímea Csák has collaborated with scholars based in United States, Hungary and Austria. Frequent co-authors include Gyöngyi Szabó, Karen Kodys, Shashi Bala, Evelyn A. Kurt‐Jones, Dora Lippai, Donna E. Catalano, Angela Dolganiuc, Michal Ganz, Pranoti Mandrekar and Abhishek Satishchandran. Their work appears in journals such as Journal of Hepatology, Liver International, Hepatology, PLoS ONE and European Journal of Gastroenterology & Hepatology.

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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