Silvia Danielian
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunodeficiency and Autoimmune Disorders
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
- Immunology 12
- Immunodeficiency and Autoimmune Disorders 8
- T-cell and B-cell Immunology 5
- Co-authors
- Rémi Fagard (9 shared papers)Siegmund Fischer (7 shared papers)Andrés Alcover (3 shared papers)Oreste Acuto (3 shared papers)Marta Zelazko (9 shared papers)Matías Oleastro (11 shared papers)M Stefănescu (1 shared paper)Marius Lebret (2 shared papers)
- Journals
- Journal of Clinical Immunology (8 papers)European Journal of Immunology (4 papers)Human Mutation (2 papers)The Journal of Immunology (2 papers)Blood (2 papers)
- Partner nations
- ArgentinaFranceUnited States
In The Last Decade
Silvia Danielian
23 papers receiving 488 citations
Peers
Comparison fields: 5 of 63
- Immunology 309
- Immunology and Allergy 68
- Genetics 55
- Hematology 51
- Virology 16
Countries citing papers authored by Silvia Danielian
This map shows the geographic impact of Silvia Danielian'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 Silvia Danielian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Danielian more than expected).
Fields of papers citing papers by Silvia Danielian
This network shows the impact of papers produced by Silvia Danielian. 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 Silvia Danielian. The network helps show where Silvia Danielian may publish in the future.
Co-authors
The 25 scholars most cited alongside Silvia Danielian, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 87 | |
| 2 | 1989 | 78 | |
| 3 | 1991 | 59 | |
| 4 | 1989 | 55 | |
| 5 | 1992 | 33 | |
| 6 | 2008 | 27 | |
| 7 | 1993 | 23 | |
| 8 | 2007 | 19 | |
| 9 | 2004 | 16 | |
| 10 | 2012 | 15 | |
| 11 | 2011 | 11 | |
| 12 | 2002 | 10 | |
| 13 | 2009 | 10 | |
| 14 | 2012 | 9 | |
| 15 | 2003 | 8 | |
| 16 | 2022 | 8 | |
| 17 | 2016 | 8 | |
| 18 | 2020 | 7 | |
| 19 | 2015 | 5 | |
| 20 | 1990 | 4 |
About Silvia Danielian
Silvia Danielian is a scholar working on Immunology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Genetics and Oncology, having authored 24 papers that have together received 498 indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), T-cell and B-cell Immunology (5 papers), Blood disorders and treatments (4 papers), Chronic Lymphocytic Leukemia Research (3 papers), Cell Adhesion Molecules Research (3 papers), Platelet Disorders and Treatments (3 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Immunology (309 citations), Immunology and Allergy (68 citations), Genetics (55 citations), Hematology (51 citations) and Virology (16 citations). Silvia Danielian has collaborated with scholars based in Argentina, France and United States. Frequent co-authors include Rémi Fagard, Siegmund Fischer, Andrés Alcover, Oreste Acuto, Marta Zelazko, Matías Oleastro, M Stefănescu, Marius Lebret, S Lévy-Toledano and Francine Rendu. Their work appears in journals such as Journal of Clinical Immunology, European Journal of Immunology, Human Mutation, The Journal of Immunology and Blood.
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.