Boris Kovačic
Impact in
- Hematology top 2%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Genetics top 2%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Chronic Lymphocytic Leukemia Research
Papers in
- Oncology 15
- Cytokine Signaling Pathways and Interactions 11
- Immunology 12
- Immune Cell Function and Interaction 6
- Immune cells in cancer 2
- Co-authors
- Richard Moriggl (11 shared papers)Hartmut Beug (11 shared papers)Veronika Sexl (12 shared papers)Marc A. Kerenyi (6 shared papers)Andrea Hoelbl‐Kovacic (6 shared papers)Florian Grebien (6 shared papers)Lothar Hennighausen (3 shared papers)Wolfgang Warsch (2 shared papers)
- Journals
- Blood (8 papers)EMBO Molecular Medicine (2 papers)Journal of Clinical Investigation (2 papers)Nature Communications (1 paper)Oncotarget (1 paper)
- Partner nations
- AustriaUnited StatesGermany
In The Last Decade
Boris Kovačic
25 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 78
- Hematology 464
- Genetics 359
- Oncology 674
- Immunology 378
- Cancer Research 138
Countries citing papers authored by Boris Kovačic
This map shows the geographic impact of Boris Kovačic'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 Boris Kovačic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boris Kovačic more than expected).
Fields of papers citing papers by Boris Kovačic
This network shows the impact of papers produced by Boris Kovačic. 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 Boris Kovačic. The network helps show where Boris Kovačic may publish in the future.
Co-authors
The 25 scholars most cited alongside Boris Kovačic, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 194 | |
| 2 | 2006 | 174 | |
| 3 | 2006 | 129 | |
| 4 | 2007 | 122 | |
| 5 | 2011 | 111 | |
| 6 | 2006 | 104 | |
| 7 | 2008 | 90 | |
| 8 | 2008 | 86 | |
| 9 | 2020 | 72 | |
| 10 | 2004 | 52 | |
| 11 | 2004 | 52 | |
| 12 | 2010 | 49 | |
| 13 | 2005 | 43 | |
| 14 | 2011 | 28 | |
| 15 | 2003 | 28 | |
| 16 | 2012 | 21 | |
| 17 | 2012 | 19 | |
| 18 | 2014 | 16 | |
| 19 | 2015 | 11 | |
| 20 | 2019 | 6 |
About Boris Kovačic
Boris Kovačic is a scholar working on Oncology, Immunology, Cancer Research, Molecular Biology and Hematology, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (11 papers), Immune Cell Function and Interaction (6 papers), Chronic Myeloid Leukemia Treatments (5 papers), NF-κB Signaling Pathways (5 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), CRISPR and Genetic Engineering (3 papers), Pluripotent Stem Cells Research (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Hematology (464 citations), Genetics (359 citations), Oncology (674 citations), Immunology (378 citations) and Cancer Research (138 citations). Boris Kovačic has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Richard Moriggl, Hartmut Beug, Veronika Sexl, Marc A. Kerenyi, Andrea Hoelbl‐Kovacic, Florian Grebien, Lothar Hennighausen, Wolfgang Warsch, Dagmar Stoiber and Eva Weisz. Their work appears in journals such as Blood, EMBO Molecular Medicine, Journal of Clinical Investigation, Nature Communications and Oncotarget.
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.