Ivan Marić
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
- Immunology top 5%
- Immune Cell Function and Interaction
- Mast cells and histamine
- Immunotherapy and Immune Responses
Papers in
-
- Multiple Myeloma Research and Treatments 3
- Chronic Myeloid Leukemia Treatments 2
-
- Eosinophilic Disorders and Syndromes 6
- Urticaria and Related Conditions 2
- Co-authors
- M.H. Perdue (1 shared paper)Patrick G. Holt (1 shared paper)John Bienenstock (1 shared paper)Ola Landgren (2 shared papers)Talib Dosani (1 shared paper)Mattias Carlsten (1 shared paper)Katherine R. Calvo (4 shared papers)Dragan Maric (3 shared papers)
- Journals
- Haematologica (6 papers)Leukemia (3 papers)Allergy (2 papers)Transplantation and Cellular Therapy (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesAustraliaIreland
In The Last Decade
Ivan Marić
16 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 74
- Hematology 275
- Immunology 512
- Genetics 223
- Developmental Neuroscience 62
- Rheumatology 172
Countries citing papers authored by Ivan Marić
This map shows the geographic impact of Ivan Marić'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 Marić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Marić more than expected).
Fields of papers citing papers by Ivan Marić
This network shows the impact of papers produced by Ivan Marić. 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 Marić. The network helps show where Ivan Marić may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Marić, 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 | 2014 | 161 | |
| 2 | GABAergic cells and signals in CNS development. | 1998 | 149 |
| 3 | 1996 | 127 | |
| 4 | 2015 | 119 | |
| 5 | 2014 | 113 | |
| 6 | 2011 | 97 | |
| 7 | 2011 | 93 | |
| 8 | 2010 | 77 | |
| 9 | 2014 | 53 | |
| 10 | 2016 | 46 | |
| 11 | 2007 | 37 | |
| 12 | 2012 | 27 | |
| 13 | 2013 | 22 | |
| 14 | 2017 | 18 | |
| 15 | 2011 | 9 | |
| 16 | Developmental changes in K+ channel expression and electrical excitability in postnatal rat Cajal-Retzius cells | 1999 | 2 |
| 17 | 2009 | 0 |
About Ivan Marić
Ivan Marić is a scholar working on Hematology, Rheumatology, Immunology, Genetics and Orthopedics and Sports Medicine, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Eosinophilic Disorders and Syndromes (6 papers), Mast cells and histamine (4 papers), Immune Cell Function and Interaction (3 papers), Multiple Myeloma Research and Treatments (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Urticaria and Related Conditions (2 papers), T-cell and B-cell Immunology (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). The work is most often cited by research in Hematology (275 citations), Immunology (512 citations), Genetics (223 citations), Developmental Neuroscience (62 citations) and Rheumatology (172 citations). Ivan Marić has collaborated with scholars based in United States, Australia and Ireland. Frequent co-authors include M.H. Perdue, Patrick G. Holt, John Bienenstock, Ola Landgren, Talib Dosani, Mattias Carlsten, Katherine R. Calvo, Dragan Maric, Dony Arthur and Todd M. Wilson. Their work appears in journals such as Haematologica, Leukemia, Allergy, Transplantation and Cellular Therapy and The Journal of Immunology.
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.