Silvia Bolland
- Immunology top 0.2%
- T-cell and B-cell Immunology 25
- Immune Cell Function and Interaction 23
- Immune Response and Inflammation 15
- interferon and immune responses 10
-
- Monoclonal and Polyclonal Antibodies Research 15
- Rheumatology top 0.5%
- Systemic Lupus Erythematosus Research 14
- Immunology and Allergy top 1%
- Genetics top 2%
-
- PI3K/AKT/mTOR signaling in cancer 9
- Glycosylation and Glycoproteins Research 8
- Co-authors
- Jeffrey V. RavetchJonathan A. DeaneMasao OnoTomohiro KurosakiPrapaporn PisitkunТ. Н. ТарасенкоPaul TempstMichael J. Difilippantonio
- Partner nations
- United StatesSpainJapan
In The Last Decade
Silvia Bolland
78 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Immunology 5.6k
- Radiology, Nuclear Medicine and Imaging 2.1k
- Rheumatology 1.3k
- Immunology and Allergy 410
- Genetics 467
Countries citing papers authored by Silvia Bolland
This map shows the geographic impact of Silvia Bolland'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 Bolland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Silvia Bolland more than expected).
Fields of papers citing papers by Silvia Bolland
This network shows the impact of papers produced by Silvia Bolland. 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 Bolland. The network helps show where Silvia Bolland may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Silvia Bolland, 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 | 2024 | 1 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 20 | |
| 5 | 2020 | 25 | |
| 6 | 2018 | 22 | |
| 7 | 2016 | 28 | |
| 8 | 2014 | 73 | |
| 9 | 2012 | 82 | |
| 10 | 2010 | 74 | |
| 11 | 2010 | 286 | |
| 12 | 2008 | 10 | |
| 13 | 2007 | 81 | |
| 14 | Autoreactive B Cell Responses to RNA-Related Antigens Due to TLR7 Gene Duplicationbreakdown → | 2006 | 694 |
| 15 | 2005 | 6 | |
| 16 | 2003 | 188 | |
| 17 | 1999 | 180 | |
| 18 | 1999 | 179 | |
| 19 | 1996 | 86 | |
| 20 | 1994 | 81 |
About Silvia Bolland
Silvia Bolland is a scholar working on Immunology, Rheumatology and Genetics, having authored 80 papers that have together received 8.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (25 papers), Immune Cell Function and Interaction (23 papers), Monoclonal and Polyclonal Antibodies Research (15 papers), Immune Response and Inflammation (15 papers), Systemic Lupus Erythematosus Research (14 papers), interferon and immune responses (10 papers), PI3K/AKT/mTOR signaling in cancer (9 papers) and Glycosylation and Glycoproteins Research (8 papers). The work is most often cited by research in Immunology (5.6k citations), Radiology, Nuclear Medicine and Imaging (2.1k citations) and Rheumatology (1.3k citations). Silvia Bolland has collaborated with scholars based in United States, Spain and Japan. Frequent co-authors include Jeffrey V. Ravetch, Jonathan A. Deane, Masao Ono, Tomohiro Kurosaki, Prapaporn Pisitkun, Т. Н. Тарасенко, Paul Tempst, Michael J. Difilippantonio, Anne B. Satterthwaite and Roger Pearse. Their work appears in journals such as Nature, Science and Cell.
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.