Goran Matic
Impact in
- Hematology top 10%
- Platelet Disorders and Treatments
- Blood groups and transfusion
Papers in
-
- Complement system in diseases 2
- Immunodeficiency and Autoimmune Disorders 2
- T-cell and B-cell Immunology 2
-
- Platelet Disorders and Treatments 7
- Acute Myeloid Leukemia Research 2
- Co-authors
- Wolfgang Ramlow (12 shared papers)Gerd Schmitz (2 shared papers)G. Rothe (2 shared papers)Emma Chapman (1 shared paper)Matthias Zaiß (1 shared paper)Roland Winkler (10 shared papers)Thomas Bosch (1 shared paper)Minnie Jacob (2 shared papers)
- Journals
- Artificial Organs (5 papers)Cells (1 paper)Blood Purification (1 paper)Cytometry (1 paper)Current Protocols in Cytometry (1 paper)
- Partner nations
- GermanySaudi ArabiaUnited States
In The Last Decade
Goran Matic
20 papers receiving 319 citations
Peers
Comparison fields: 5 of 90
- Hematology 94
- Transplantation 17
- Genetics 39
- Nephrology 26
- Internal Medicine 13
Countries citing papers authored by Goran Matic
This map shows the geographic impact of Goran Matic'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 Goran Matic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Goran Matic more than expected).
Fields of papers citing papers by Goran Matic
This network shows the impact of papers produced by Goran Matic. 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 Goran Matic. The network helps show where Goran Matic may publish in the future.
Co-authors
The 25 scholars most cited alongside Goran Matic, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 73 | |
| 2 | 1998 | 70 | |
| 3 | 2000 | 35 | |
| 4 | 2001 | 33 | |
| 5 | 2001 | 22 | |
| 6 | 2019 | 20 | |
| 7 | Proteomic analysis of soft tissue tumor implants treated with a novel polybisphosphonate. | 2014 | 17 |
| 8 | 2000 | 14 | |
| 9 | 2000 | 7 | |
| 10 | 2001 | 7 | |
| 11 | 2001 | 6 | |
| 12 | 2000 | 6 | |
| 13 | 2002 | 4 | |
| 14 | 2002 | 3 | |
| 15 | 1991 | 2 | |
| 16 | 2001 | 2 | |
| 17 | 2000 | 2 | |
| 18 | Bluetooth and 802.11: co-existence or conflict? | 2002 | 2 |
| 19 | 2001 | 2 | |
| 20 | 2017 | 1 |
About Goran Matic
Goran Matic is a scholar working on Immunology, Hematology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 23 papers that have together received 330 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (7 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Complement system in diseases (2 papers), Acute Myeloid Leukemia Research (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Hematology (94 citations), Transplantation (17 citations), Genetics (39 citations), Nephrology (26 citations) and Internal Medicine (13 citations). Goran Matic has collaborated with scholars based in Germany, Saudi Arabia and United States. Frequent co-authors include Wolfgang Ramlow, Gerd Schmitz, G. Rothe, Emma Chapman, Matthias Zaiß, Roland Winkler, Thomas Bosch, Minnie Jacob, Anas M. Abdel Rahman and Majed Dasouki. Their work appears in journals such as Artificial Organs, Cells, Blood Purification, Cytometry and Current Protocols in Cytometry.
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.