María Eugenia Castelli
- Molecular Biology
- Genetics top 10%
- Endocrinology top 5%
- Microbiology top 5%
- Plant Science
- Co-authors
- Eleonora Garcı́a VéscoviFernando C. SonciniHugo G. MenzellaSalvador PeirúMario F. FeldmanSebastián CerminatiLuciana PaolettiAndrés Aguirre
- Topics
- Enzyme Catalysis and Immobilization (9 papers)Microbial Metabolic Engineering and Bioproduction (6 papers)Bacterial Genetics and Biotechnology (6 papers)
- Partner nations
- ArgentinaSwitzerlandCanada
In The Last Decade
María Eugenia Castelli
21 papers receiving 687 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 426
- Genetics 188
- Endocrinology 143
- Microbiology 86
- Plant Science 80
Countries citing papers authored by María Eugenia Castelli
This map shows the geographic impact of María Eugenia Castelli'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 María Eugenia Castelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites María Eugenia Castelli more than expected).
Fields of papers citing papers by María Eugenia Castelli
This network shows the impact of papers produced by María Eugenia Castelli. 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 María Eugenia Castelli. The network helps show where María Eugenia Castelli may publish in the future.
Co-authorship network of co-authors of María Eugenia Castelli
This figure shows the co-authorship network connecting the top 25 collaborators of María Eugenia Castelli. A scholar is included among the top collaborators of María Eugenia Castelli 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 María Eugenia Castelli. María Eugenia Castelli 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 | 3 | |
| 3 | 3 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 48 | |
| 7 | 4 | |
| 8 | 6 | |
| 9 | 16 | |
| 10 | 32 | |
| 11 | Malnutrición en el embarazo y complicaciones gestacionales y del recién nacido: Estudio descriptivo de los nacimientos 2010 en el Hospital Pereira Rosell | 0 |
| 12 | 90 | |
| 13 | 106 | |
| 14 | 28 | |
| 15 | 46 | |
| 16 | 19 | |
| 17 | 20 | |
| 18 | 44 | |
| 19 | 22 | |
| 20 | 104 |
About María Eugenia Castelli
María Eugenia Castelli is a scholar working on Endocrinology, Biotechnology and Biochemistry, having authored 23 papers that have together received 695 indexed citations. Recurring topics across this work include Enzyme Catalysis and Immobilization (9 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Bacterial Genetics and Biotechnology (6 papers). The work is most often cited by research in Endocrinology (143 citations), Microbiology (86 citations) and Molecular Medicine (67 citations). María Eugenia Castelli has collaborated with scholars based in Argentina, Switzerland and Canada. Frequent co-authors include Eleonora Garcı́a Véscovi, Fernando C. Soncini, Hugo G. Menzella, Salvador Peirú, Mario F. Feldman, Sebastián Cerminati, Luciana Paoletti, Andrés Aguirre, Linda J. Kenney and M. Verónica Ielmini. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry and Journal of Agricultural 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.