Ildikó Kovács
Impact in
- Physiology top 10%
- Adenosine and Purinergic Signaling
Papers in
-
- Receptor Mechanisms and Signaling 4
- Signaling Pathways in Disease 2
-
- T-cell and B-cell Immunology 3
- Co-authors
- Sándor Sipka (15 shared papers)Rodger L. Bick (1 shared paper)Lajos Fekete (1 shared paper)Balázs Döme (9 shared papers)Sándor Szántó (6 shared papers)Krisztián Niesz (2 shared papers)Gyula Szegedi (4 shared papers)László Ürge (2 shared papers)
- Journals
- Clinical Cancer Research (2 papers)Scientific Reports (2 papers)Immunology Letters (2 papers)Journal of Molecular Medicine (2 papers)Inflammation Research (1 paper)
- Partner nations
- HungaryUnited StatesAustria
In The Last Decade
Ildikó Kovács
37 papers receiving 592 citations
Peers
Comparison fields: 5 of 96
- Physiology 36
- Immunology and Allergy 38
- Immunology 124
- Cancer Research 65
- Hematology 38
Countries citing papers authored by Ildikó Kovács
This map shows the geographic impact of Ildikó Kovács'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 Ildikó Kovács with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ildikó Kovács more than expected).
Fields of papers citing papers by Ildikó Kovács
This network shows the impact of papers produced by Ildikó Kovács. 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 Ildikó Kovács. The network helps show where Ildikó Kovács may publish in the future.
Co-authors
The 25 scholars most cited alongside Ildikó Kovács, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 66 | |
| 2 | 2016 | 66 | |
| 3 | 1976 | 55 | |
| 4 | 2016 | 54 | |
| 5 | 2005 | 38 | |
| 6 | 2018 | 34 | |
| 7 | 2018 | 25 | |
| 8 | 2020 | 23 | |
| 9 | 2021 | 23 | |
| 10 | 2015 | 23 | |
| 11 | 2004 | 18 | |
| 12 | 2005 | 18 | |
| 13 | 2023 | 15 | |
| 14 | 2004 | 15 | |
| 15 | Decreased arachidonic acid release in peripheral blood monocytes of patients with systemic lupus erythematosus. | 2001 | 15 |
| 16 | 2009 | 14 | |
| 17 | 1998 | 14 | |
| 18 | 2007 | 13 | |
| 19 | 2013 | 11 | |
| 20 | 1987 | 8 |
About Ildikó Kovács
Ildikó Kovács is a scholar working on Molecular Biology, Immunology, Pulmonary and Respiratory Medicine, Oncology and Rheumatology, having authored 40 papers that have together received 609 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Systemic Lupus Erythematosus Research (4 papers), T-cell and B-cell Immunology (3 papers), Signaling Pathways in Disease (2 papers), Allergic Rhinitis and Sensitization (2 papers), Analytical Chemistry and Chromatography (2 papers), Innovative Microfluidic and Catalytic Techniques Innovation (2 papers) and Vitamin D Research Studies (2 papers). The work is most often cited by research in Physiology (36 citations), Immunology and Allergy (38 citations), Immunology (124 citations), Cancer Research (65 citations) and Hematology (38 citations). Ildikó Kovács has collaborated with scholars based in Hungary, United States and Austria. Frequent co-authors include Sándor Sipka, Rodger L. Bick, Lajos Fekete, Balázs Döme, Sándor Szántó, Krisztián Niesz, Gyula Szegedi, László Ürge, Ferenç Darvas and Viktória László. Their work appears in journals such as Clinical Cancer Research, Scientific Reports, Immunology Letters, Journal of Molecular Medicine and Inflammation Research.
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.