Daniel Mazal
Impact in
- Immunology top 10%
- Galectins and Cancer Biology
- Toxin Mechanisms and Immunotoxins
- Immune Cell Function and Interaction
Papers in
-
- Glycosylation and Glycoproteins Research 5
- Signaling Pathways in Disease 2
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- Galectins and Cancer Biology 6
- Toxin Mechanisms and Immunotoxins 2
- Co-authors
- Eduardo Osinaga (11 shared papers)Luis Ubillos (8 shared papers)Gabriel A. Rabinovich (2 shared papers)Tomás Dalotto‐Moreno (1 shared paper)Juan P. Cerliani (1 shared paper)Juan C. Stupirski (1 shared paper)Santiago P. Méndez‐Huergo (1 shared paper)Sebastián Dergan‐Dylon (1 shared paper)
- Journals
- Journal of Histochemistry & Cytochemistry (3 papers)Parasitology Research (1 paper)The FASEB Journal (1 paper)Breast Cancer Research and Treatment (1 paper)Cancers (1 paper)
- Partner nations
- UruguayFranceUnited States
In The Last Decade
Daniel Mazal
13 papers receiving 580 citations
Peers
Comparison fields: 5 of 71
- Immunology 290
- Biological Psychiatry 21
- Molecular Biology 362
- Parasitology 25
- Oncology 88
Countries citing papers authored by Daniel Mazal
This map shows the geographic impact of Daniel Mazal'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 Daniel Mazal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Mazal more than expected).
Fields of papers citing papers by Daniel Mazal
This network shows the impact of papers produced by Daniel Mazal. 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 Daniel Mazal. The network helps show where Daniel Mazal may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Mazal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 218 | |
| 2 | 2005 | 132 | |
| 3 | 2005 | 64 | |
| 4 | 2015 | 47 | |
| 5 | 2013 | 35 | |
| 6 | 2005 | 29 | |
| 7 | 2010 | 16 | |
| 8 | 2013 | 12 | |
| 9 | 2004 | 9 | |
| 10 | 2015 | 8 | |
| 11 | 2020 | 7 | |
| 12 | 2018 | 6 | |
| 13 | 2021 | 3 |
About Daniel Mazal
Daniel Mazal is a scholar working on Molecular Biology, Immunology, Organic Chemistry, Pharmacology and Oncology, having authored 13 papers that have together received 586 indexed citations. Recurring topics across this work include Galectins and Cancer Biology (6 papers), Glycosylation and Glycoproteins Research (5 papers), Toxin Mechanisms and Immunotoxins (2 papers), Signaling Pathways in Disease (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Parasites and Host Interactions (1 paper), Trypanosoma species research and implications (1 paper) and Aortic Disease and Treatment Approaches (1 paper). The work is most often cited by research in Immunology (290 citations), Biological Psychiatry (21 citations), Molecular Biology (362 citations), Parasitology (25 citations) and Oncology (88 citations). Daniel Mazal has collaborated with scholars based in Uruguay, France and United States. Frequent co-authors include Eduardo Osinaga, Luis Ubillos, Gabriel A. Rabinovich, Tomás Dalotto‐Moreno, Juan P. Cerliani, Juan C. Stupirski, Santiago P. Méndez‐Huergo, Sebastián Dergan‐Dylon, Mariana Salatino and Marta A. Toscano. Their work appears in journals such as Journal of Histochemistry & Cytochemistry, Parasitology Research, The FASEB Journal, Breast Cancer Research and Treatment and Cancers.
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.