Ivan Stamenkovic
- Immunology and Allergy top 0.05%
- Cell Adhesion Molecules Research 47
- Cell Biology top 0.05%
- Proteoglycans and glycosaminoglycans research 47
- Cancer Research top 0.1%
- Protease and Inhibitor Mechanisms 13
- Immunology top 0.2%
- T-cell and B-cell Immunology 10
- Immune Cell Function and Interaction 9
- Oncology top 0.2%
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- Glycosylation and Glycoproteins Research 41
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- Sarcoma Diagnosis and Treatment 19
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- Monoclonal and Polyclonal Antibodies Research 15
- Co-authors
- Qin YuAlejandro AruffoBrian SeedNicolò RiggiCharles B. UnderhillMichael MelnickMartine AmiotFred T. Bosman
- Journals
- Cancer Research (13 papers)The Journal of Experimental Medicine (12 papers)Journal of Biological Chemistry (9 papers)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Ivan Stamenkovic
156 papers receiving 24.0k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Immunology and Allergy 4.5k
- Cell Biology 6.3k
- Cancer Research 4.9k
- Immunology 5.6k
- Oncology 5.1k
Countries citing papers authored by Ivan Stamenkovic
This map shows the geographic impact of Ivan Stamenkovic'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 Ivan Stamenkovic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Stamenkovic more than expected).
Fields of papers citing papers by Ivan Stamenkovic
This network shows the impact of papers produced by Ivan Stamenkovic. 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 Ivan Stamenkovic. The network helps show where Ivan Stamenkovic may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ivan Stamenkovic, 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 | 0 | |
| 2 | 2023 | 17 | |
| 3 | 2018 | 12 | |
| 4 | 2017 | 90 | |
| 5 | 2014 | 24 | |
| 6 | 2012 | 376 | |
| 7 | 2010 | 176 | |
| 8 | 2009 | 379 | |
| 9 | 2009 | 243 | |
| 10 | 2008 | 259 | |
| 11 | 2007 | 14 | |
| 12 | 2006 | 115 | |
| 13 | 2005 | 279 | |
| 14 | Extracellular matrix remodelling: the role of matrix metalloproteinasesbreakdown → | 2003 | 891 |
| 15 | 1998 | 171 | |
| 16 | 1996 | 54 | |
| 17 | 1996 | 147 | |
| 18 | 1995 | 93 | |
| 19 | 1991 | 3 | |
| 20 | 1990 | 55 |
About Ivan Stamenkovic
Ivan Stamenkovic is a scholar working on Immunology and Allergy, Cell Biology and Cancer Research, having authored 157 papers that have together received 24.7k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (47 papers), Cell Adhesion Molecules Research (47 papers), Glycosylation and Glycoproteins Research (41 papers), Sarcoma Diagnosis and Treatment (19 papers), Monoclonal and Polyclonal Antibodies Research (15 papers), Protease and Inhibitor Mechanisms (13 papers), T-cell and B-cell Immunology (10 papers) and Immune Cell Function and Interaction (9 papers). The work is most often cited by research in Immunology and Allergy (4.5k citations), Cell Biology (6.3k citations) and Cancer Research (4.9k citations). Ivan Stamenkovic has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Qin Yu, Alejandro Aruffo, Brian Seed, Nicolò Riggi, Charles B. Underhill, Michael Melnick, Martine Amiot, Fred T. Bosman, Paolo Provero and Mario-Luca Suvà. Their work appears in journals such as Cancer Research, The Journal of Experimental Medicine, Journal of Biological Chemistry, Genes & Development and The Journal of Pathology.
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.