K. Merétey

19 papers receiving 425 citations

Peers

K. Merétey
Comparison fields: 5 of 79
  • Immunology 223
  • Immunology and Allergy 40
  • Rheumatology 92
  • Genetics 30
  • Physiology 71
Replace Clifford M. Chapman with:
Clifford M. Chapman United States
A Abadie France
J Asai Japan
Tatjana Samardžić Czechia
Ryoichi Hashida Japan
Giorgio Giannattasio Italy
Helen P. Carroll United Kingdom
Ivana Hálová Czechia
Taras Lyubchenko United States
Péter Pócza Hungary
K. Merétey relative to Clifford M. Chapman United States Clifford M. Chapman's profile →
Citations per field
00.5×1.5×2.3×
Clifford M. Chapman · 1×
Citations per year

Countries citing papers authored by K. Merétey

Since Specialization
Citations

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

Fields of papers citing papers by K. Merétey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1992158
2
Interleukin 6 levels in synovial fluids of patients with different arthritides: correlation with local IgM rheumatoid factor and systemic acute phase protein production.
199273
3 199055
4 199141
5 197924
6 198122
7 198419
8
Complement C3 cleavage product in synovial fluids detected by immunofixation.
199112
9 198111
10 19817
11 19836
12
Study of autoantibodies, natural antibodies and IgE level in four families with rheumatoid arthritis.
19876
13 19884
14 19863
15 19893
16 19882
17
[Defects in opsonization activity of the serum of patients with chronic arthritis].
19892
18 20041
19 20021

About K. Merétey

K. Merétey is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Rheumatology and Physiology, having authored 19 papers that have together received 450 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (6 papers), Mast cells and histamine (6 papers), Click Chemistry and Applications (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Protein purification and stability (3 papers), Asthma and respiratory diseases (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Immunology (223 citations), Immunology and Allergy (40 citations), Rheumatology (92 citations), Genetics (30 citations) and Physiology (71 citations). K. Merétey has collaborated with scholars based in Hungary, Czechia and Denmark. Frequent co-authors include András Falus, M Brózik, Tetsuya Taga, Tadamitsu Kishimoto, Hanna Rokita, Tunda Hidvegi, R N Maini, G. Room, I Rosztóczy and Zsolt J. Balogh. Their work appears in journals such as Inflammation Research, Journal of Immunological Methods, Molecular Immunology, Scandinavian Journal of Immunology and Annals of the Rheumatic Diseases.

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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