M Kávai
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Complement system in diseases
- Hematology top 5%
- Platelet Disorders and Treatments
Papers in
- Immunology 31
- Immune Cell Function and Interaction 11
- Complement system in diseases 9
- T-cell and B-cell Immunology 8
- Rheumatology 19
- Systemic Lupus Erythematosus Research 19
- Co-authors
- Gyula SzegediRóza ÁdányLászló MuszbekG SzegediJános PolgárG. SzegediIstván CsípőEmese Kiss
In The Last Decade
M Kávai
52 papers receiving 679 citations
Peers
Comparison fields: 5 of 73
- Immunology 342
- Hematology 169
- Rheumatology 206
- Radiology, Nuclear Medicine and Imaging 166
- Pulmonary and Respiratory Medicine 199
Countries citing papers authored by M Kávai
This map shows the geographic impact of M Kávai'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 M Kávai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Kávai more than expected).
Fields of papers citing papers by M Kávai
This network shows the impact of papers produced by M Kávai. 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 M Kávai. The network helps show where M Kávai may publish in the future.
Co-authors
The 25 scholars most cited alongside M Kávai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 35 | |
| 2 | 2007 | 68 | |
| 3 | 2007 | 2 | |
| 4 | 2005 | 3 | |
| 5 | 2004 | 53 | |
| 6 | 1997 | 7 | |
| 7 | 1996 | 15 | |
| 8 | 1995 | 14 | |
| 9 | 1994 | 18 | |
| 10 | 1992 | 1 | |
| 11 | 1988 | 14 | |
| 12 | 1985 | 111 | |
| 13 | 1983 | 5 | |
| 14 | Signals of monocyte activation in patients with SLE. | 1983 | 15 |
| 15 | 1982 | 3 | |
| 16 | 1980 | 28 | |
| 17 | [Enzyme linked immunosorbent assay (ELISA) for measuring anti-DNA level in the serum of SLE patients]. | 1980 | 1 |
| 18 | Histamine-binding receptors and Fc receptors of T lymphocytes in SLE. | 1979 | 0 |
| 19 | Circulating antibodies in coeliac disease. | 1977 | 1 |
| 20 | Allergic type skin reactions in animals with alloxan diabetes. | 1966 | 1 |
About M Kávai
M Kávai is a scholar working on Immunology, Rheumatology, Radiology, Nuclear Medicine and Imaging, Hematology and Genetics, having authored 55 papers that have together received 729 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (22 papers), Systemic Lupus Erythematosus Research (19 papers), Immune Cell Function and Interaction (11 papers), Complement system in diseases (9 papers), T-cell and B-cell Immunology (8 papers), Glycosylation and Glycoproteins Research (5 papers), Lipid Membrane Structure and Behavior (5 papers) and Blood groups and transfusion (5 papers). The work is most often cited by research in Immunology (342 citations), Hematology (169 citations), Rheumatology (206 citations), Radiology, Nuclear Medicine and Imaging (166 citations) and Pulmonary and Respiratory Medicine (199 citations). M Kávai has collaborated with scholars based in Hungary, Czechia and France. Frequent co-authors include Gyula Szegedi, Róza Ádány, László Muszbek, G Szegedi, János Polgár, G. Szegedi, István Csípő, Emese Kiss, Gabriella Szűcs and Katalin Lukács. Their work appears in journals such as Scandinavian Journal of Immunology, Cellular Immunology, Journal of Immunological Methods, Autoimmunity Reviews and Advances in experimental medicine and biology.
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.