Ania Jankowska

632 total citations
10 papers, 491 citations indexed

About

Ania Jankowska is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Ania Jankowska has authored 10 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 7 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Ania Jankowska's work include Acute Myeloid Leukemia Research (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers) and Epigenetics and DNA Methylation (2 papers). Ania Jankowska is often cited by papers focused on Acute Myeloid Leukemia Research (7 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers) and Epigenetics and DNA Methylation (2 papers). Ania Jankowska collaborates with scholars based in United States, Brazil and Japan. Ania Jankowska's co-authors include Ramón V. Tiu, Mikkael A. Sekeres, Yogen Saunthararajah, Ali Tabarroki, Valeria Visconte, Hideki Makishima, Jaroslaw P. Maciejewski, Yuka Sugimoto, Fabı́ola Traina and Anjali S. Advani and has published in prestigious journals such as Blood, Cancer and Clinical Cancer Research.

In The Last Decade

Ania Jankowska

10 papers receiving 485 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ania Jankowska United States 7 369 268 160 53 45 10 491
Ana Valencia Spain 12 311 0.8× 403 1.5× 79 0.5× 41 0.8× 35 0.8× 21 528
Nahoko Nishimoto Japan 10 296 0.8× 216 0.8× 76 0.5× 60 1.1× 72 1.6× 13 476
Chun Yew Fong Australia 12 425 1.2× 266 1.0× 114 0.7× 52 1.0× 92 2.0× 50 600
Kathryn M Guinta United States 7 370 1.0× 390 1.5× 171 1.1× 51 1.0× 40 0.9× 16 577
Laurie Lisak United States 12 533 1.4× 281 1.0× 182 1.1× 48 0.9× 68 1.5× 15 625
Seiichiro Katagiri Japan 14 207 0.6× 199 0.7× 116 0.7× 50 0.9× 67 1.5× 59 498
Thomas McKerrell United Kingdom 7 417 1.1× 228 0.9× 270 1.7× 135 2.5× 24 0.5× 8 532
Sairah Alvi United States 11 461 1.2× 208 0.8× 128 0.8× 44 0.8× 51 1.1× 13 560
Yasmin Abaza United States 11 261 0.7× 174 0.6× 87 0.5× 37 0.7× 67 1.5× 54 391
Elliot Stieglitz United States 13 292 0.8× 245 0.9× 135 0.8× 45 0.8× 92 2.0× 58 537

Countries citing papers authored by Ania Jankowska

Since Specialization
Citations

This map shows the geographic impact of Ania Jankowska'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 Ania Jankowska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ania Jankowska more than expected).

Fields of papers citing papers by Ania Jankowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ania Jankowska. 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 Ania Jankowska. The network helps show where Ania Jankowska may publish in the future.

Co-authorship network of co-authors of Ania Jankowska

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

All Works

10 of 10 papers shown
1.
Mahfouz, Reda Z., Ania Jankowska, Quteba Ebrahem, et al.. (2013). Increased CDA Expression/Activity in Males Contributes to Decreased Cytidine Analog Half-Life and Likely Contributes to Worse Outcomes with 5-Azacytidine or Decitabine Therapy. Clinical Cancer Research. 19(4). 938–948. 105 indexed citations
2.
Traina, Fabı́ola, Valeria Visconte, Paul Elson, et al.. (2013). Impact of molecular mutations on treatment response to DNMT inhibitors in myelodysplasia and related neoplasms. Leukemia. 28(1). 78–87. 219 indexed citations
3.
Kar, Sarah Abu, Ania Jankowska, Hirokazu Makishima, et al.. (2012). Spliceosomal gene mutations are frequent events in the diverse mutational spectrum of chronic myelomonocytic leukemia but largely absent in juvenile myelomonocytic leukemia. Haematologica. 98(1). 107–113. 61 indexed citations
4.
Jankowska, Ania, Hadrian Szpurka, Maria Grazia Calabró, et al.. (2011). Loss of expression of neutrophil proteinase-3: a factor contributing to thrombotic risk in paroxysmal nocturnal hemoglobinuria. Haematologica. 96(7). 954–962. 9 indexed citations
5.
6.
Huh, Jungwon, Ramón V. Tiu, Lukasz P. Gondek, et al.. (2010). Characterization of chromosome arm 20q abnormalities in myeloid malignancies using genome‐wide single nucleotide polymorphism array analysis. Genes Chromosomes and Cancer. 49(4). 390–399. 54 indexed citations
7.
Traina, Fabı́ola, Ania Jankowska, Hideki Makishima, et al.. (2010). New TET2, ASXL1 and CBL Mutations Have Poor Prognostic Impact In Systemic Mastocytosis and Related Disorders. Blood. 116(21). 3076–3076. 1 indexed citations
8.
Makishima, Hideki, Ania Jankowska, Ramón V. Tiu, et al.. (2010). Identification of Oncogenic EZH2 Mutations In Myelodysplastic Syndromes and Related Myeloid Malignancies. Blood. 116(21). 607–607. 1 indexed citations
9.
Klimczak, Aleksandra, et al.. (2007). Donor–origin cell engraftment after intraosseous or intravenous bone marrow transplantation in a rat model. Bone Marrow Transplantation. 40(4). 373–380. 20 indexed citations
10.

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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