Mónika Varga
- Plant Science top 2%
- Cell Biology top 2%
- Molecular Biology
- Food Science top 10%
- Materials Chemistry
- Co-authors
- Ákos MesterházyTibor BartókBeáta TóthSzabolcs Lehoczki-KrsjakBéla CsukásJ. VargaAndrás SzekeresÁrpàd Molnár
- Topics
- Mycotoxins in Agriculture and Food (33 papers)Plant Pathogens and Fungal Diseases (22 papers)Wheat and Barley Genetics and Pathology (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaLangmuirFood Chemistry
- Partner nations
- HungaryPolandUnited States
In The Last Decade
Mónika Varga
100 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 132
- Plant Science 887
- Cell Biology 587
- Molecular Biology 238
- Food Science 126
- Materials Chemistry 117
Countries citing papers authored by Mónika Varga
This map shows the geographic impact of Mónika Varga'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 Mónika Varga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mónika Varga more than expected).
Fields of papers citing papers by Mónika Varga
This network shows the impact of papers produced by Mónika Varga. 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 Mónika Varga. The network helps show where Mónika Varga may publish in the future.
Co-authorship network of co-authors of Mónika Varga
This figure shows the co-authorship network connecting the top 25 collaborators of Mónika Varga. A scholar is included among the top collaborators of Mónika Varga based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mónika Varga. Mónika Varga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 11 | |
| 10 | 5 | |
| 11 | 10 | |
| 12 | 64 | |
| 13 | Preparation of a dynamic simulation model to support decision making in a shallow lake area. | 1 |
| 14 | 10 | |
| 15 | Identification of potential mycotoxin producing fungi on agricultural products in Hungary and Serbia | 6 |
| 16 | Development and validation of an lc-mS/mS method for the analysis of l-DopA in oat | 5 |
| 17 | 9 | |
| 18 | 49 | |
| 19 | 52 | |
| 20 | The role of breeding in reducing mycotoxin contamination in maize | 4 |
About Mónika Varga
Mónika Varga is a scholar working on Cell Biology, Plant Science and Water Science and Technology, having authored 103 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mycotoxins in Agriculture and Food (33 papers), Plant Pathogens and Fungal Diseases (22 papers) and Wheat and Barley Genetics and Pathology (19 papers). The work is most often cited by research in Cell Biology (587 citations), Plant Science (887 citations) and Biochemistry (46 citations). Mónika Varga has collaborated with scholars based in Hungary, Poland and United States. Frequent co-authors include Ákos Mesterházy, Tibor Bartók, Beáta Tóth, Szabolcs Lehoczki-Krsjak, Béla Csukás, J. Varga, András Szekeres, Árpàd Molnár, Sándor Kocsubé́ and János Varga. Their work appears in journals such as SHILAP Revista de lepidopterología, Langmuir and Food Chemistry.
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.