Mirta Schattner
- Immunology top 1%
- Molecular Biology top 10%
- Hematology top 1%
- Infectious Diseases top 5%
- Genetics top 5%
- Co-authors
- Soledad NegrottoJulia EtulainAgostina CarestiaRicardo M. GómezRoberto Gabriel PoznerLeonardo RivadeneyraLina Paola D’AtriDenisa D. Wagner
- Topics
- Platelet Disorders and Treatments (28 papers)Neutrophil, Myeloperoxidase and Oxidative Mechanisms (20 papers)Galectins and Cancer Biology (13 papers)
- Partner nations
- ArgentinaUnited StatesBrazil
In The Last Decade
Mirta Schattner
102 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Immunology 1.8k
- Molecular Biology 1.1k
- Hematology 905
- Infectious Diseases 470
- Genetics 362
Countries citing papers authored by Mirta Schattner
This map shows the geographic impact of Mirta Schattner'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 Mirta Schattner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mirta Schattner more than expected).
Fields of papers citing papers by Mirta Schattner
This network shows the impact of papers produced by Mirta Schattner. 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 Mirta Schattner. The network helps show where Mirta Schattner may publish in the future.
Co-authorship network of co-authors of Mirta Schattner
This figure shows the co-authorship network connecting the top 25 collaborators of Mirta Schattner. A scholar is included among the top collaborators of Mirta Schattner 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 Mirta Schattner. Mirta Schattner 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 | 7 | |
| 3 | 6 | |
| 4 | 20 | |
| 5 | 15 | |
| 6 | 42 | |
| 7 | DNA and neutrophil extracellular traps release, novel potential biomarkers and therapeutic targets of joint Damage In Hemophilia | 1 |
| 8 | 14 | |
| 9 | Así comienza la vida plaquetaria: un viaje desde los megacariocitos medulares a las plaquetas circulantes | 1 |
| 10 | P-selectin promotes neutrophil extracellular trap formation in micebreakdown → | 429 |
| 11 | 57 | |
| 12 | 16 | |
| 13 | 36 | |
| 14 | 37 | |
| 15 | 1 | |
| 16 | 82 | |
| 17 | 33 | |
| 18 | 100 | |
| 19 | 2 | |
| 20 | 16 |
About Mirta Schattner
Mirta Schattner is a scholar working on Hematology, Immunology and Immunology and Allergy, having authored 106 papers that have together received 3.8k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (28 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (20 papers) and Galectins and Cancer Biology (13 papers). The work is most often cited by research in Immunology (1.8k citations), Hematology (905 citations) and Internal Medicine (224 citations). Mirta Schattner has collaborated with scholars based in Argentina, United States and Brazil. Frequent co-authors include Soledad Negrotto, Julia Etulain, Agostina Carestia, Ricardo M. Gómez, Roberto Gabriel Pozner, Leonardo Rivadeneyra, Lina Paola D’Atri, Denisa D. Wagner, Kimberly Martinod and Stephen M. Cifuni. Their work appears in journals such as Science, Blood and PLoS ONE.
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.