Robert Csonga
Impact in
- Virology top 10%
- HIV Research and Treatment
- Immunology top 10%
- Mast cells and histamine
Papers in ⓘ
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- Polyamine Metabolism and Applications 6
- Sphingolipid Metabolism and Signaling 4
- Lipid Membrane Structure and Behavior 3
- Epigenetics and DNA Methylation 2
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- Mast cells and histamine 6
- Co-authors
- Thomas Baumruker (12 shared papers)Eva E. Prieschl (10 shared papers)V. Novotny (8 shared papers)Gary E. Kikuchi (2 shared papers)Thorsten Wöhl (2 shared papers)Joachim Hauber (2 shared papers)Dorian Bevec (2 shared papers)Herbert Jaksche (2 shared papers)
- Journals
- FEBS Letters (3 papers)The Journal of Immunology (2 papers)Biochemistry (2 papers)Nucleic Acids Research (2 papers)Biochemical and Biophysical Research Communications (2 papers)
- Partner nations
- AustriaGermanyUnited States
In The Last Decade
Robert Csonga
19 papers receiving 806 citations
Peers
Comparison fields: 5 of 73
- Virology 71
- Immunology 252
- Biochemistry 73
- Molecular Biology 618
- Cell Biology 113
Countries citing papers authored by Robert Csonga
This map shows the geographic impact of Robert Csonga'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 Robert Csonga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Csonga more than expected).
Fields of papers citing papers by Robert Csonga
This network shows the impact of papers produced by Robert Csonga. 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 Robert Csonga. The network helps show where Robert Csonga may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Csonga, 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 | 1996 | 180 | |
| 2 | 1999 | 145 | |
| 3 | 1998 | 75 | |
| 4 | 2004 | 58 | |
| 5 | 2004 | 44 | |
| 6 | 1995 | 41 | |
| 7 | 1998 | 41 | |
| 8 | Common and distinct signaling pathways mediate the induction of TNF-alpha and IL-5 in IgE plus antigen-stimulated mast cells. | 1998 | 39 |
| 9 | 1998 | 31 | |
| 10 | 1998 | 30 | |
| 11 | 2006 | 26 | |
| 12 | 2002 | 20 | |
| 13 | 1996 | 20 | |
| 14 | 1995 | 19 | |
| 15 | 1996 | 17 | |
| 16 | 1999 | 13 | |
| 17 | 1996 | 13 | |
| 18 | 2000 | 9 | |
| 19 | 1995 | 5 |
About Robert Csonga
Robert Csonga is a scholar working on Molecular Biology, Immunology, Biochemistry, Cell Biology and Oncology, having authored 19 papers that have together received 826 indexed citations. Recurring topics across this work include Mast cells and histamine (6 papers), Polyamine Metabolism and Applications (6 papers), Amino Acid Enzymes and Metabolism (4 papers), Sphingolipid Metabolism and Signaling (4 papers), Lipid Membrane Structure and Behavior (3 papers), Cytokine Signaling Pathways and Interactions (2 papers), Cell Adhesion Molecules Research (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Virology (71 citations), Immunology (252 citations), Biochemistry (73 citations), Molecular Biology (618 citations) and Cell Biology (113 citations). Robert Csonga has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Thomas Baumruker, Eva E. Prieschl, V. Novotny, Gary E. Kikuchi, Thorsten Wöhl, Joachim Hauber, Dorian Bevec, Herbert Jaksche, Michèle Himmelspach and Friedrich Lottspeich. Their work appears in journals such as FEBS Letters, The Journal of Immunology, Biochemistry, Nucleic Acids Research and Biochemical and Biophysical Research Communications.
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.