T Fülöp

19 papers receiving 445 citations

Peers

T Fülöp
Comparison fields: 5 of 92
  • Immunology and Allergy 67
  • Cancer Research 142
  • Aging 13
  • Genetics 164
  • Geriatrics and Gerontology 16
Replace Shigeaki Kato with:
Shigeaki Kato Japan
Nadine Suffee France
Domokos Bartis Hungary
Dries Bauters Belgium
Esther Lutgens Netherlands
Aline Delalandre Canada
Liya Huang China
Mychel Morais United Kingdom
Xiangguo Dai United States
Qiang Shi United States
T Fülöp relative to Shigeaki Kato Japan Shigeaki Kato's profile →
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Citations per year

Countries citing papers authored by T Fülöp

Since Specialization
Citations

This map shows the geographic impact of T Fülöp'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 T Fülöp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Fülöp more than expected).

Fields of papers citing papers by T Fülöp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1987112
2 198581
3
Biological effects of elastin peptides.
199851
4
Elastonectin and the elastin receptor.
198949
5
Effects of synthesized elastin peptides on human leukocytes.
199534
6 198426
7 200718
8 199216
9 198715
10
Determination of interleukin 2 receptor number of Con A stimulated human lymphocytes with aging.
199113
11 198812
12 19949
13
Determination of anti-elastin peptide antibodies in normal and arteriosclerotic human sera by ELISA.
19898
14
[Elastin and arteriosclerosis: determination and characterization of elastin peptides in blood].
19924
15 19973
16 19592
17 19872
18
[Copper determination in blood serum with lead diethyldithiocarbamate].
19581
19
[Effect of chlorpromazine on the resorption of iron after oral administration of radioactive isotope of iron].
19601

About T Fülöp

T Fülöp is a scholar working on Molecular Biology, Genetics, Immunology, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 457 indexed citations. Recurring topics across this work include Connective tissue disorders research (5 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Cell Adhesion Molecules Research (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Protease and Inhibitor Mechanisms (2 papers), Body Composition Measurement Techniques (1 paper) and Phagocytosis and Immune Regulation (1 paper). The work is most often cited by research in Immunology and Allergy (67 citations), Cancer Research (142 citations), Aging (13 citations), Genetics (164 citations) and Geriatrics and Gerontology (16 citations). T Fülöp has collaborated with scholars based in Hungary, France and United States. Frequent co-authors include Gabriella Fóris, M.P. Jacob, L. Robert, A Leövey, I Wórum, J. Wallach, Abdelouahed Khalil, William Hornebeck, József Tı́már and Markus Hauck. Their work appears in journals such as Gerontology, Life Sciences, International Archives of Allergy and Immunology, Novartis Foundation symposium and Atherosclerosis.

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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