Magda E. Lotkowska
About
In The Last Decade
Magda E. Lotkowska
2 papers receiving 176 citations
Peers
Comparison fields: 5 of 24
- Molecular Biology 146
- Plant Science 113
- Biochemistry 41
- Biotechnology 11
- Food Science 6
Countries citing papers authored by Magda E. Lotkowska
This map shows the geographic impact of Magda E. Lotkowska'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 Magda E. Lotkowska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Magda E. Lotkowska more than expected).
Fields of papers citing papers by Magda E. Lotkowska
This network shows the impact of papers produced by Magda E. Lotkowska. 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 Magda E. Lotkowska. The network helps show where Magda E. Lotkowska may publish in the future.
Co-authorship network of co-authors of Magda E. Lotkowska
This figure shows the co-authorship network connecting the top 25 collaborators of Magda E. Lotkowska. A scholar is included among the top collaborators of Magda E. Lotkowska 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 Magda E. Lotkowska. Magda E. Lotkowska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 178 | |
| 2 | Functional analysis of MYB112 transcription factor in the model plant Arabidopsis thaliana | 1 |
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.