I Sanz
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immunodeficiency and Autoimmune Disorders
- Immune Cell Function and Interaction
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- Monoclonal and Polyclonal Antibodies Research
Papers in
-
- Monoclonal and Polyclonal Antibodies Research 8
- Radiomics and Machine Learning in Medical Imaging 2
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- T-cell and B-cell Immunology 5
- Immunodeficiency and Autoimmune Disorders 3
- Co-authors
- J D CapraJames W. ThomasA L NotkinsPaolo CasaliJ. Donald CapraPatrick D. KellyCarol L. WilliamsSebastian Scholl
- Journals
- The Journal of Immunology (6 papers)Journal of Clinical Investigation (2 papers)Proceedings of the National Academy of Sciences (2 papers)The EMBO Journal (1 paper)Lupus (1 paper)
- Partner nations
- United StatesSpainJapan
In The Last Decade
I Sanz
17 papers receiving 936 citations
Peers
Comparison fields: 5 of 62
- Immunology 611
- Radiology, Nuclear Medicine and Imaging 625
- Genetics 143
- Hematology 132
- Immunology and Allergy 50
Countries citing papers authored by I Sanz
This map shows the geographic impact of I Sanz'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 I Sanz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I Sanz more than expected).
Fields of papers citing papers by I Sanz
This network shows the impact of papers produced by I Sanz. 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 I Sanz. The network helps show where I Sanz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside I Sanz, 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 | 2017 | 3 | |
| 2 | 2010 | 2 | |
| 3 | 2009 | 4 | |
| 4 | 2004 | 2 | |
| 5 | 2004 | 45 | |
| 6 | 2002 | 0 | |
| 7 | 1992 | 22 | |
| 8 | 1992 | 36 | |
| 9 | 1990 | 151 | |
| 10 | 1990 | 15 | |
| 11 | 1990 | 16 | |
| 12 | 1989 | 205 | |
| 13 | 1989 | 122 | |
| 14 | 1989 | 184 | |
| 15 | 1988 | 38 | |
| 16 | 1988 | 8 | |
| 17 | 1987 | 95 | |
| 18 | 1987 | 12 |
About I Sanz
I Sanz is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Immunology and Allergy, Hematology and Hepatology, having authored 18 papers that have together received 960 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (8 papers), T-cell and B-cell Immunology (5 papers), Diabetes and associated disorders (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Blood groups and transfusion (3 papers), Glycosylation and Glycoproteins Research (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (2 papers). The work is most often cited by research in Immunology (611 citations), Radiology, Nuclear Medicine and Imaging (625 citations), Genetics (143 citations), Hematology (132 citations) and Immunology and Allergy (50 citations). I Sanz has collaborated with scholars based in United States, Spain and Japan. Frequent co-authors include J D Capra, James W. Thomas, A L Notkins, Paolo Casali, J. Donald Capra, Patrick D. Kelly, Carol L. Williams, Sebastian Scholl, Philip W. Tucker and H Dang. Their work appears in journals such as The Journal of Immunology, Journal of Clinical Investigation, Proceedings of the National Academy of Sciences, The EMBO Journal and Lupus.
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.