Ozren Jakšić
- Genetics top 2%
- Immunology top 10%
- Pathology and Forensic Medicine top 5%
- Oncology top 10%
- Hematology top 5%
- Co-authors
- Silvia DeaglioGiovanni D’ArenaFabio MalavasiMarta CosciaGianluca GaïdanoDavide RossiSara SerraGiorgio Inghirami
- Topics
- Chronic Lymphocytic Leukemia Research (14 papers)Lymphoma Diagnosis and Treatment (14 papers)Hematopoietic Stem Cell Transplantation (6 papers)
In The Last Decade
Ozren Jakšić
48 papers receiving 846 citations
Peers
Comparison fields: 5 of 66
- Genetics 407
- Immunology 273
- Pathology and Forensic Medicine 234
- Oncology 233
- Hematology 227
Countries citing papers authored by Ozren Jakšić
This map shows the geographic impact of Ozren Jakšić'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 Ozren Jakšić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ozren Jakšić more than expected).
Fields of papers citing papers by Ozren Jakšić
This network shows the impact of papers produced by Ozren Jakšić. 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 Ozren Jakšić. The network helps show where Ozren Jakšić may publish in the future.
Co-authorship network of co-authors of Ozren Jakšić
This figure shows the co-authorship network connecting the top 25 collaborators of Ozren Jakšić. A scholar is included among the top collaborators of Ozren Jakšić based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ozren Jakšić. Ozren Jakšić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 9 | |
| 10 | 0 | |
| 11 | 10 | |
| 12 | [The use of peripherally inserted central catheter (PICC) in patients with hematological malignancies--a single center experience]. | 5 |
| 13 | Upotreba periferno uvedenoga centralnog venskog katetera (PICC) u bolesnika sa zloćudnim hematološkim bolestima - prikaz vlastitih iskustava [The use of peripherally inserted central catheter (PICC) in patients with hematological malignancies - a single center experience] | 1 |
| 14 | 186 | |
| 15 | 16 | |
| 16 | 23 | |
| 17 | 32 | |
| 18 | 52 | |
| 19 | 15 | |
| 20 | 15 |
About Ozren Jakšić
Ozren Jakšić is a scholar working on Genetics, Hematology and Pathology and Forensic Medicine, having authored 55 papers that have together received 857 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (14 papers), Lymphoma Diagnosis and Treatment (14 papers) and Hematopoietic Stem Cell Transplantation (6 papers). The work is most often cited by research in Genetics (407 citations), Hematology (227 citations) and Pathology and Forensic Medicine (234 citations). Ozren Jakšić has collaborated with scholars based in Croatia, Italy and Hungary. Frequent co-authors include Silvia Deaglio, Giovanni D’Arena, Fabio Malavasi, Marta Coscia, Gianluca Gaïdano, Davide Rossi, Sara Serra, Giorgio Inghirami, Tiziana Vaisitti and Davide Brusa. Their work appears in journals such as Blood, British Journal of Pharmacology and Frontiers in 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.