Milena Pantić
Impact in
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
- Genomic variations and chromosomal abnormalities
- Hematology top 5%
- Acute Myeloid Leukemia Research
Papers in
- Hematology 22
- Acute Myeloid Leukemia Research 14
- Multiple Myeloma Research and Treatments 9
- Hematopoietic Stem Cell Transplantation 4
- Chronic Myeloid Leukemia Treatments 4
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- Protein Degradation and Inhibitors 5
- Co-authors
- Uwe M. Martens (8 shared papers)Dietmar Pfeifer (9 shared papers)Cornelius F. Waller (4 shared papers)Stefan Zimmermann (5 shared papers)Hendrik Veelken (5 shared papers)Hesham Eldaly (1 shared paper)Miriam Kull (1 shared paper)Paul Fisch (2 shared papers)
- Journals
- Blood (8 papers)PROTEOMICS (2 papers)Haematologica (1 paper)Clinical Epigenetics (1 paper)Immunology and Cell Biology (1 paper)
- Partner nations
- GermanyUnited StatesSerbia
In The Last Decade
Milena Pantić
31 papers receiving 711 citations
Peers
Comparison fields: 5 of 64
- Genetics 205
- Hematology 164
- Physiology 177
- Immunology 132
- Pathology and Forensic Medicine 98
Countries citing papers authored by Milena Pantić
This map shows the geographic impact of Milena Pantić'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 Milena Pantić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milena Pantić more than expected).
Fields of papers citing papers by Milena Pantić
This network shows the impact of papers produced by Milena Pantić. 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 Milena Pantić. The network helps show where Milena Pantić may publish in the future.
Co-authors
The 25 scholars most cited alongside Milena Pantić, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 167 | |
| 2 | 2004 | 123 | |
| 3 | 2002 | 78 | |
| 4 | 2015 | 59 | |
| 5 | 2014 | 42 | |
| 6 | 2015 | 35 | |
| 7 | 2011 | 34 | |
| 8 | 2010 | 26 | |
| 9 | 2000 | 26 | |
| 10 | 2006 | 23 | |
| 11 | 2020 | 12 | |
| 12 | 2000 | 12 | |
| 13 | 2005 | 11 | |
| 14 | 2005 | 10 | |
| 15 | 1999 | 9 | |
| 16 | 2004 | 8 | |
| 17 | 2009 | 5 | |
| 18 | 2013 | 4 | |
| 19 | 2016 | 4 | |
| 20 | 2014 | 4 |
About Milena Pantić
Milena Pantić is a scholar working on Hematology, Molecular Biology, Genetics, Oncology and Physiology, having authored 34 papers that have together received 718 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (14 papers), Multiple Myeloma Research and Treatments (9 papers), Chronic Lymphocytic Leukemia Research (7 papers), Telomeres, Telomerase, and Senescence (6 papers), Protein Degradation and Inhibitors (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers) and Chronic Myeloid Leukemia Treatments (4 papers). The work is most often cited by research in Genetics (205 citations), Hematology (164 citations), Physiology (177 citations), Immunology (132 citations) and Pathology and Forensic Medicine (98 citations). Milena Pantić has collaborated with scholars based in Germany, United States and Serbia. Frequent co-authors include Uwe M. Martens, Dietmar Pfeifer, Cornelius F. Waller, Stefan Zimmermann, Hendrik Veelken, Hesham Eldaly, Miriam Kull, Paul Fisch, Justyna Rawluk and Clemens Kreutz. Their work appears in journals such as Blood, PROTEOMICS, Haematologica, Clinical Epigenetics and Immunology and Cell Biology.
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.