Maria G. Ivanchenko
- Plant Science top 1%
- Molecular Biology top 10%
- Endocrine and Autonomic Systems top 5%
- Ecology
- Cellular and Molecular Neuroscience
- Co-authors
- Joseph DubrovskyGloria K. MudaySelene Napsucialy‐MendivilJiřı́ FrimlSvetlana ShishkovaEva BenkováSangeeta NegiJohn L. Celenza
- Topics
- Plant Molecular Biology Research (19 papers)Plant Reproductive Biology (12 papers)Plant nutrient uptake and metabolism (8 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Plant Cell
- Partner nations
- United StatesBulgariaMexico
In The Last Decade
Maria G. Ivanchenko
37 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 84
- Plant Science 1.8k
- Molecular Biology 1.1k
- Endocrine and Autonomic Systems 125
- Ecology 111
- Cellular and Molecular Neuroscience 106
Countries citing papers authored by Maria G. Ivanchenko
This map shows the geographic impact of Maria G. Ivanchenko'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 Maria G. Ivanchenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria G. Ivanchenko more than expected).
Fields of papers citing papers by Maria G. Ivanchenko
This network shows the impact of papers produced by Maria G. Ivanchenko. 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 Maria G. Ivanchenko. The network helps show where Maria G. Ivanchenko may publish in the future.
Co-authorship network of co-authors of Maria G. Ivanchenko
This figure shows the co-authorship network connecting the top 25 collaborators of Maria G. Ivanchenko. A scholar is included among the top collaborators of Maria G. Ivanchenko 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 Maria G. Ivanchenko. Maria G. Ivanchenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 22 | |
| 3 | 31 | |
| 4 | 85 | |
| 5 | 98 | |
| 6 | 86 | |
| 7 | 94 | |
| 8 | 60 | |
| 9 | 462 | |
| 10 | 231 | |
| 11 | 93 | |
| 12 | 51 | |
| 13 | 48 | |
| 14 | 24 | |
| 15 | 16 | |
| 16 | 5 | |
| 17 | 3 | |
| 18 | 4 | |
| 19 | 5 | |
| 20 | 7 |
About Maria G. Ivanchenko
Maria G. Ivanchenko is a scholar working on Plant Science, Parasitology and Molecular Biology, having authored 37 papers that have together received 2.1k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (19 papers), Plant Reproductive Biology (12 papers) and Plant nutrient uptake and metabolism (8 papers). The work is most often cited by research in Plant Science (1.8k citations), Endocrine and Autonomic Systems (125 citations) and Molecular Biology (1.1k citations). Maria G. Ivanchenko has collaborated with scholars based in United States, Bulgaria and Mexico. Frequent co-authors include Joseph Dubrovsky, Gloria K. Muday, Selene Napsucialy‐Mendivil, Jiřı́ Friml, Svetlana Shishkova, Eva Benková, Sangeeta Negi, John L. Celenza, Michael Sauer and Jadwiga M. Giebułtowicz. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Plant Cell.
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.