Francisco Sánchez‐Madrid
- Immunology and Allergy top 0.01%
- Cell Adhesion Molecules Research 206
- Immunology top 0.02%
- T-cell and B-cell Immunology 133
- Immune Cell Function and Interaction 100
- Immunotherapy and Immune Responses 94
- Immune Response and Inflammation 53
- Cancer Research top 0.05%
- Hematology top 0.2%
- Platelet Disorders and Treatments 43
- Molecular Biology top 0.1%
- Glycosylation and Glycoproteins Research 37
-
- Monoclonal and Polyclonal Antibodies Research 88
Francisco Sánchez‐Madrid
517 papers receiving 39.1k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Immunology and Allergy 10.3k
- Immunology 16.7k
- Cancer Research 6.4k
- Hematology 3.0k
- Molecular Biology 16.7k
Countries citing papers authored by Francisco Sánchez‐Madrid
This map shows the geographic impact of Francisco Sánchez‐Madrid'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 Francisco Sánchez‐Madrid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francisco Sánchez‐Madrid more than expected).
Fields of papers citing papers by Francisco Sánchez‐Madrid
This network shows the impact of papers produced by Francisco Sánchez‐Madrid. 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 Francisco Sánchez‐Madrid. The network helps show where Francisco Sánchez‐Madrid may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Francisco Sánchez‐Madrid, 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 | 2022 | 7 | |
| 2 | 2022 | 57 | |
| 3 | 2020 | 11 | |
| 4 | 2019 | 16 | |
| 5 | 2019 | 143 | |
| 6 | 2017 | 34 | |
| 7 | 2017 | 14 | |
| 8 | 2015 | 1 | |
| 9 | 2013 | 56 | |
| 10 | 2013 | 0 | |
| 11 | 2010 | 27 | |
| 12 | 2009 | 32 | |
| 13 | 2008 | 40 | |
| 14 | 2008 | 100 | |
| 15 | Cyclosporin A inhibits CD69 expression induced on synovial fluid and peripheral blood lymphocytes by interleukin 15. | 2000 | 8 |
| 16 | CD69 expression and tumour necrosis factor-alpha immunoreactivity in the inflammatory cell infiltrate of halo naevi. | 1996 | 12 |
| 17 | 1992 | 75 | |
| 18 | Expression of a gp33/27,000 MW activation inducer molecule (AIM) on human lymphoid tissues. Induction of cell proliferation on thymocytes and B lymphocytes by anti-AIM antibodies. | 1989 | 42 |
| 19 | 1988 | 31 | |
| 20 | 1982 | 86 |
About Francisco Sánchez‐Madrid
Francisco Sánchez‐Madrid is a scholar working on Immunology and Allergy, Immunology and Hematology, having authored 525 papers that have together received 39.9k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (206 papers), T-cell and B-cell Immunology (133 papers), Immune Cell Function and Interaction (100 papers), Immunotherapy and Immune Responses (94 papers), Monoclonal and Polyclonal Antibodies Research (88 papers), Immune Response and Inflammation (53 papers), Platelet Disorders and Treatments (43 papers) and Glycosylation and Glycoproteins Research (37 papers). The work is most often cited by research in Immunology and Allergy (10.3k citations), Immunology (16.7k citations) and Cancer Research (6.4k citations). Francisco Sánchez‐Madrid has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Marı́a Mittelbrunn, Marı́a Yáñez-Mó, Carolina Villarroya‐Beltri, Cristina Gutiérrez‐Vázquez, Timothy A. Springer, Miguel Vicente‐Manzanares, Juan Manuel Serrador, David Sancho, Manuel O. Landázuri and Olga Barreiro. Their work appears in journals such as Nature, New England Journal of Medicine 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.