Milena Pantić

1.1k total citations
34 papers, 713 citations indexed

About

Milena Pantić is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Milena Pantić has authored 34 papers receiving a total of 713 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Hematology, 15 papers in Molecular Biology and 11 papers in Genetics. Recurrent topics in Milena Pantić's work include Acute Myeloid Leukemia Research (14 papers), Multiple Myeloma Research and Treatments (9 papers) and Chronic Lymphocytic Leukemia Research (7 papers). Milena Pantić is often cited by papers focused on Acute Myeloid Leukemia Research (14 papers), Multiple Myeloma Research and Treatments (9 papers) and Chronic Lymphocytic Leukemia Research (7 papers). Milena Pantić collaborates with scholars based in Germany, United States and Serbia. Milena Pantić's co-authors include Uwe M. Martens, Dietmar Pfeifer, Cornelius F. Waller, Stefan Zimmermann, Hendrik Veelken, Miriam Kull, Hesham Eldaly, Jens Timmer, Clemens Kreutz and Justyna Rawluk and has published in prestigious journals such as Journal of Clinical Investigation, Blood and Cancer.

In The Last Decade

Milena Pantić

31 papers receiving 706 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Milena Pantić Germany 12 364 224 181 178 154 34 713
Elisabeth Oppliger Leibundgut Switzerland 16 480 1.3× 311 1.4× 412 2.3× 77 0.4× 48 0.3× 38 897
L. H. Hoefsloot Netherlands 8 240 0.7× 117 0.5× 206 1.1× 147 0.8× 80 0.5× 9 645
Thet Thet Lin United Kingdom 10 384 1.1× 407 1.8× 91 0.5× 153 0.9× 223 1.4× 13 743
Liliana Terrin Italy 13 322 0.9× 98 0.4× 43 0.2× 205 1.2× 68 0.4× 21 707
Manjula Santhanakrishnan United States 11 346 1.0× 56 0.3× 210 1.2× 200 1.1× 130 0.8× 21 666
Yoko Okitsu Japan 15 320 0.9× 110 0.5× 186 1.0× 31 0.2× 95 0.6× 49 647
Philippe Chadebech France 14 201 0.6× 356 1.6× 418 2.3× 325 1.8× 75 0.5× 30 757
C. Vasselon France 11 625 1.7× 139 0.6× 420 2.3× 27 0.2× 127 0.8× 27 964
Isha Kapoor India 13 376 1.0× 107 0.5× 84 0.5× 22 0.1× 60 0.4× 25 569
Brian J. Capaldo United States 11 155 0.4× 88 0.4× 38 0.2× 122 0.7× 140 0.9× 26 439

Countries citing papers authored by Milena Pantić

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Milena Pantić

This figure shows the co-authorship network connecting the top 25 collaborators of Milena Pantić. A scholar is included among the top collaborators of Milena Pantić 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 Milena Pantić. Milena Pantić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Duque‐Afonso, Jesús, Jan Mitschke, Gabriele Greve, et al.. (2024). Identification of epigenetic modifiers essential for growth and survival of AML1/ETO‐positive leukemia. International Journal of Cancer. 155(11). 2068–2079.
2.
Grishina, Olga, Milena Pantić, Dietmar Pfeifer, et al.. (2023). Long-term decitabine/retinoic acid maintenance treatment in an elderly sAML patient with high-risk genetics. Clinical Epigenetics. 15(1). 185–185. 2 indexed citations
3.
Wehrle, Julius, Gabriele Ihorst, Konrad Aumann, et al.. (2020). Prevalence and characteristics of myeloproliferative neoplasms with concomitant monoclonal gammopathy. Leukemia Research. 98. 106454–106454. 4 indexed citations
4.
Becker, Heiko, Dietmar Pfeifer, Gabriele Ihorst, et al.. (2020). Monosomal karyotype and chromosome 17p loss or TP53 mutations in decitabine-treated patients with acute myeloid leukemia. Annals of Hematology. 99(7). 1551–1560. 11 indexed citations
5.
Becker, Heiko, Gabriele Greve, Keisuke Kataoka, et al.. (2019). Identification of enhancer of mRNA decapping 4 as a novel fusion partner of MLL in acute myeloid leukemia. Blood Advances. 3(5). 761–765. 2 indexed citations
6.
Greve, Gabriele, Insa Schiffmann, Dietmar Pfeifer, et al.. (2015). The pan-HDAC inhibitor panobinostat acts as a sensitizer for erlotinib activity in EGFR-mutated and -wildtype non-small cell lung cancer cells. BMC Cancer. 15(1). 947–947. 59 indexed citations
7.
Ihorst, Gabriele, Ola Landgren, Milena Pantić, et al.. (2015). Large registry analysis to accurately define second malignancy rates and risks in a well-characterized cohort of 744 consecutive multiple myeloma patients followed-up for 25 years. Haematologica. 100(10). 1340–1349. 35 indexed citations
9.
Waterhouse, Miguel, Dietmar Pfeifer, Milena Pantić, et al.. (2011). Genome-wide Profiling in AML Patients Relapsing after Allogeneic Hematopoietic Cell Transplantation. Biology of Blood and Marrow Transplantation. 17(10). 1450–1459.e1. 34 indexed citations
10.
Binder, Mascha, Fabian Müller, Barbara Léchenne, et al.. (2010). B‐cell receptor epitope recognition correlates with the clinical course of chronic lymphocytic leukemia. Cancer. 117(9). 1891–1900. 26 indexed citations
11.
Zimmermann, Stefan, Martin L. Biniossek, Christian Maurer, et al.. (2009). Proteomic profiling in distinct cellular compartments of tumor cells reveals p53‐dependent upregulation of S100A6 upon induction of telomere dysfunction. PROTEOMICS. 9(22). 5175–5187. 5 indexed citations
12.
Zimmermann, Stefan, Martin L. Biniossek, Milena Pantić, et al.. (2009). Proteomic profiling of tumor cells after induction of telomere dysfunction. PROTEOMICS. 9(3). 521–534. 2 indexed citations
13.
Pantić, Milena, Stefan Zimmermann, O Opitz, et al.. (2006). Telomere dysfunction and loss of p53 cooperate in defective mitotic segregation of chromosomes in cancer cells. Oncogene. 25(32). 4413–4420. 23 indexed citations
14.
Pfeifer, Dietmar, Milena Pantić, Justyna Rawluk, et al.. (2006). Genome-wide analysis of DNA copy number changes and LOH in CLL using high-density SNP arrays. Blood. 109(3). 1202–1210. 167 indexed citations
15.
Janković, Gradimir, et al.. (2005). A der(14)t(1;14)(q12;p11) in chronic myelomonocytic leukemia. Cancer Genetics and Cytogenetics. 160(1). 89–93. 11 indexed citations
16.
Suvajdžić, Nada, et al.. (2004). Acute Panmyelosis with Myelofibrosis: Clinical, Immunophenotypic and Cytogenetic Study of Twelve Cases. Leukemia & lymphoma. 45(9). 1873–1879. 8 indexed citations
17.
Martens, Uwe M., Volker Brass, Milena Pantić, et al.. (2002). Telomere maintenance in human B lymphocytes. British Journal of Haematology. 119(3). 810–818. 77 indexed citations
18.
Pantić, Milena, Dragomir Marisavljević, Vladimir Djordjević, et al.. (2000). Additional chromosome aberrations in acute promyelocytic leukemia: characteristics and prognostic influence. Medical Oncology. 17(4). 307–313. 26 indexed citations
20.
Janković, Gradimir, Milica C̆olović, P H Wiernik, et al.. (1999). Multiple Karyotypic Aberrations in a Polymorphous Variant of Waldenström Macroglobulinemia. Cancer Genetics and Cytogenetics. 111(1). 77–80. 9 indexed citations

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.

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