Georgina Stegmayer
- Molecular Biology
- Cancer Research
- Artificial Intelligence top 10%
- Plant Science
- Computer Vision and Pattern Recognition
- Co-authors
- Diego H. MiloneLeandro A. BugnonLaura KamenetzkyM. GérardFernando CarrariEmilio FenoyMariana G. LópezOmar Chiotti
- Topics
- MicroRNA in disease regulation (14 papers)Bioinformatics and Genomic Networks (12 papers)Cancer-related molecular mechanisms research (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsDevelopment
In The Last Decade
Georgina Stegmayer
67 papers receiving 798 citations
Peers
Comparison fields: 5 of 120
- Molecular Biology 411
- Cancer Research 157
- Artificial Intelligence 143
- Plant Science 129
- Computer Vision and Pattern Recognition 49
Countries citing papers authored by Georgina Stegmayer
This map shows the geographic impact of Georgina Stegmayer'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 Georgina Stegmayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georgina Stegmayer more than expected).
Fields of papers citing papers by Georgina Stegmayer
This network shows the impact of papers produced by Georgina Stegmayer. 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 Georgina Stegmayer. The network helps show where Georgina Stegmayer may publish in the future.
Co-authorship network of co-authors of Georgina Stegmayer
This figure shows the co-authorship network connecting the top 25 collaborators of Georgina Stegmayer. A scholar is included among the top collaborators of Georgina Stegmayer 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 Georgina Stegmayer. Georgina Stegmayer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 13 | |
| 6 | 20 | |
| 7 | 20 | |
| 8 | 4 | |
| 9 | 35 | |
| 10 | 5 | |
| 11 | 31 | |
| 12 | 12 | |
| 13 | 3 | |
| 14 | 15 | |
| 15 | 12 | |
| 16 | 24 | |
| 17 | Análisis de estabilidad en clusters solapados | 1 |
| 18 | A Method to Improve the Analysis of Cluster Ensembles | 0 |
| 19 | Towards a Volterra series representation from a Neural Network model | 18 |
| 20 | Dynamic comunication mechanism of a distributed DSS: the information retrieval process of the router agent | 0 |
About Georgina Stegmayer
Georgina Stegmayer is a scholar working on Cancer Research, Molecular Biology and Artificial Intelligence, having authored 70 papers that have together received 825 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (14 papers), Bioinformatics and Genomic Networks (12 papers) and Cancer-related molecular mechanisms research (11 papers). The work is most often cited by research in Cancer Research (157 citations), Molecular Biology (411 citations) and Analytical Chemistry (46 citations). Georgina Stegmayer has collaborated with scholars based in Argentina, Italy and Germany. Frequent co-authors include Diego H. Milone, Leandro A. Bugnon, Laura Kamenetzky, M. Gérard, Fernando Carrari, Emilio Fenoy, Mariana G. López, Omar Chiotti, Milton Pividori and Roque J. Minari. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and Development.
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.