Iuri Marinov
- Hematology top 5%
- Acute Myeloid Leukemia Research 8
- Blood groups and transfusion 8
- Immunology top 10%
- Complement system in diseases 15
- Immunotherapy and Immune Responses 6
- Nephrology top 5%
- Renal Diseases and Glomerulopathies 13
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 7
- Transplantation top 10%
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- Acute Lymphoblastic Leukemia research 9
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- Photodynamic Therapy Research Studies 7
- Co-authors
- Zbyněk HrkalDana GrebeňováAntoine RousseauKateřina KuželováOlivier GuaitellaAndrea IllingworthD. Robert SutherlandOta Fuchs
- Cited by
- HematologyImmunologyNephrology
- Journals
- Blood (1 paper)Applied Physics Letters (1 paper)Journal of the American College of Cardiology (1 paper)
- Partner nations
- CzechiaCanadaUnited States
In The Last Decade
Iuri Marinov
81 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 100
- Hematology 352
- Immunology 355
- Nephrology 114
- Genetics 139
- Transplantation 33
Countries citing papers authored by Iuri Marinov
This map shows the geographic impact of Iuri Marinov'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 Iuri Marinov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iuri Marinov more than expected).
Fields of papers citing papers by Iuri Marinov
This network shows the impact of papers produced by Iuri Marinov. 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 Iuri Marinov. The network helps show where Iuri Marinov may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Iuri Marinov, 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 | 2016 | 16 | |
| 2 | 2013 | 2 | |
| 3 | 2012 | 17 | |
| 4 | 2011 | 16 | |
| 5 | 2011 | 127 | |
| 6 | 2010 | 2 | |
| 7 | 2009 | 4 | |
| 8 | 2009 | 19 | |
| 9 | 2008 | 4 | |
| 10 | 2008 | 17 | |
| 11 | 2006 | 18 | |
| 12 | 2005 | 9 | |
| 13 | 2004 | 3 | |
| 14 | 2004 | 3 | |
| 15 | 2003 | 91 | |
| 16 | 2003 | 65 | |
| 17 | 2002 | 10 | |
| 18 | Comparison of two different methods for CD34+ selection and T cell depletion in peripheral blood stem cell grafts--our experiences with CellPro, E rosetting and CliniMACS technique. | 2001 | 6 |
| 19 | 1998 | 20 | |
| 20 | 1996 | 25 |
About Iuri Marinov
Iuri Marinov is a scholar working on Hematology, Nephrology and Immunology, having authored 82 papers that have together received 1.2k indexed citations. Recurring topics across this work include Complement system in diseases (15 papers), Renal Diseases and Glomerulopathies (13 papers), Acute Lymphoblastic Leukemia research (9 papers), Acute Myeloid Leukemia Research (8 papers), Blood groups and transfusion (8 papers), Chronic Lymphocytic Leukemia Research (7 papers), Photodynamic Therapy Research Studies (7 papers) and Immunotherapy and Immune Responses (6 papers). The work is most often cited by research in Hematology (352 citations), Immunology (355 citations) and Nephrology (114 citations). Iuri Marinov has collaborated with scholars based in Czechia, Canada and United States. Frequent co-authors include Zbyněk Hrkal, Dana Grebeňová, Antoine Rousseau, Kateřina Kuželová, Olivier Guaitella, Andrea Illingworth, D. Robert Sutherland, Ota Fuchs, Svetlana Starikovskaia and Zdeňka Gašová. Their work appears in journals such as Blood, Applied Physics Letters and Journal of the American College of Cardiology.
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.