Ferenc Timár

28 papers receiving 370 citations

Peers

Ferenc Timár
Comparison fields: 5 of 84
  • Immunology and Allergy 30
  • Hepatology 36
  • Cell Biology 74
  • Cancer Research 49
  • Pharmacology 22
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Iha Park South Korea
Zhihua Yang China
Patrizia Griffini Italy
Ahmed Amine Ashour Egypt
Weiwei Rong China
Daniel S. Fletcher United States
David Szafarz France
Rosalind D. Friedman United States
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Citations per year

Countries citing papers authored by Ferenc Timár

Since Specialization
Citations

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

Fields of papers citing papers by Ferenc Timár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ferenc Timár, 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 Ferenc Timár Line = papers co-authored together Ferenc Timár 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 200171
2 199429
3 200129
4 200525
5
Differential inhibition of single and cluster type tumor cell migration.
200925
6 200722
7 200118
8 200516
9 199813
10 199112
11
Antiproliferative and antimigratory effects of doxorubicin in human osteosarcoma cells exposed to extracellular matrix.
200511
12 199511
13 198710
14
Role of the modified (glycosaminoglycan producing) perisinusoidal fibroblasts in the CCl4-induced fibrosis of the rat liver.
199210
15
In vitro antiangiogenic effect of sandostatin (octreotide) on the proliferation of the placental vessels.
20039
16 20079
17 20039
18 19908
19 19868
20
[Study of drugs against neoplastic metastasis].
20068

About Ferenc Timár

Ferenc Timár is a scholar working on Cell Biology, Immunology and Allergy, Cancer Research, Hepatology and Pharmacology, having authored 28 papers that have together received 388 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Cell Adhesion Molecules Research (3 papers), Liver physiology and pathology (3 papers), Drug-Induced Hepatotoxicity and Protection (3 papers), Cancer Research and Treatments (2 papers), Protease and Inhibitor Mechanisms (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Immunology and Allergy (30 citations), Hepatology (36 citations), Cell Biology (74 citations), Cancer Research (49 citations) and Pharmacology (22 citations). Ferenc Timár has collaborated with scholars based in Hungary, United States and France. Frequent co-authors include B. Szende, József Bocsi, András Jeney, Gábor Pogány, Gergely Attila Rácz, E. Tyihák, Karoly Lapis, Beáta Hargitai, József Tı́már and J. Oláh. Their work appears in journals such as Cancer Chemotherapy and Pharmacology, Carcinogenesis, Journal of Thrombosis and Haemostasis, Journal of Neural Transmission and Cancer Biology & Therapy.

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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