Monika J. Stankiewicz

453 total citations
11 papers, 336 citations indexed

About

Monika J. Stankiewicz is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Monika J. Stankiewicz has authored 11 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Hematology and 3 papers in Genetics. Recurrent topics in Monika J. Stankiewicz's work include Acute Myeloid Leukemia Research (5 papers), Epigenetics and DNA Methylation (4 papers) and RNA modifications and cancer (3 papers). Monika J. Stankiewicz is often cited by papers focused on Acute Myeloid Leukemia Research (5 papers), Epigenetics and DNA Methylation (4 papers) and RNA modifications and cancer (3 papers). Monika J. Stankiewicz collaborates with scholars based in United States, China and Israel. Monika J. Stankiewicz's co-authors include John D. Crispino, Jianbin Du, Steven J. Ackerman, Julie Lekstrom-Himes, Qing Xi, Yang Liu, Benjamin Goldenson, Gina Kirsammer, Qiang Wen and Zan Huang and has published in prestigious journals such as Journal of Biological Chemistry, Blood and International Journal of Molecular Sciences.

In The Last Decade

Monika J. Stankiewicz

10 papers receiving 333 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Monika J. Stankiewicz United States 7 171 171 90 63 56 11 336
Karen Lambie Canada 10 160 0.9× 237 1.4× 121 1.3× 65 1.0× 37 0.7× 12 406
George Corpus Canada 7 174 1.0× 129 0.8× 62 0.7× 40 0.6× 15 0.3× 8 337
Cristina Morerio Italy 12 187 1.1× 121 0.7× 46 0.5× 23 0.4× 97 1.7× 29 384
Babu Rao Vundinti India 13 219 1.3× 180 1.1× 106 1.2× 27 0.4× 36 0.6× 50 406
Agnès Charpentier France 7 104 0.6× 161 0.9× 145 1.6× 44 0.7× 45 0.8× 13 322
Lemlem Alemu United States 12 228 1.3× 220 1.3× 82 0.9× 144 2.3× 50 0.9× 25 451
Robin Freeburn United Kingdom 11 166 1.0× 55 0.3× 43 0.5× 117 1.9× 21 0.4× 18 341
Sparkes Rs United States 11 143 0.8× 122 0.7× 73 0.8× 34 0.5× 39 0.7× 30 382
Diego Quinones Raffo United States 9 83 0.5× 152 0.9× 72 0.8× 125 2.0× 38 0.7× 17 304
Darci Zblewski United States 10 232 1.4× 321 1.9× 289 3.2× 78 1.2× 80 1.4× 27 522

Countries citing papers authored by Monika J. Stankiewicz

Since Specialization
Citations

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

Fields of papers citing papers by Monika J. Stankiewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Monika J. Stankiewicz. 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 Monika J. Stankiewicz. The network helps show where Monika J. Stankiewicz may publish in the future.

Co-authorship network of co-authors of Monika J. Stankiewicz

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

All Works

11 of 11 papers shown
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2.
Ling, Te, Yehudit Birger, Monika J. Stankiewicz, et al.. (2019). Chromatin occupancy and epigenetic analysis reveal new insights into the function of the GATA1 N terminus in erythropoiesis. Blood. 134(19). 1619–1631. 29 indexed citations
3.
Goldenson, Benjamin, Gina Kirsammer, Monika J. Stankiewicz, Qiang Wen, & John D. Crispino. (2015). Aurora kinase A is required for hematopoiesis but is dispensable for murine megakaryocyte endomitosis and differentiation. Blood. 125(13). 2141–2150. 23 indexed citations
4.
Liu, Lu, Qi Wen, Rui Gong, et al.. (2014). PSTPIP2 dysregulation contributes to aberrant terminal differentiation in GATA-1-deficient megakaryocytes by activating LYN. Cell Death and Disease. 5(1). e988–e988. 16 indexed citations
5.
Khan, Irum, Zan Huang, Qing Wen, et al.. (2013). AKT is a therapeutic target in myeloproliferative neoplasms. Leukemia. 27(9). 1882–1890. 62 indexed citations
6.
Stankiewicz, Monika J. & John D. Crispino. (2013). AKT collaborates with ERG and Gata1s to dysregulate megakaryopoiesis and promote AMKL. Leukemia. 27(6). 1339–1347. 21 indexed citations
7.
Stankiewicz, Monika J., Timothy M. Chlon, & John D. Crispino. (2013). Stage Selective Requirement For The N-Terminus Of GATA1 During Erythropoiesis. Blood. 122(21). 3670–3670.
8.
Stankiewicz, Monika J. & John D. Crispino. (2009). ETS2 and ERG promote megakaryopoiesis and synergize with alterations in GATA-1 to immortalize hematopoietic progenitor cells. Blood. 113(14). 3337–3347. 86 indexed citations
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Du, Jianbin, Monika J. Stankiewicz, Yang Liu, et al.. (2002). Novel Combinatorial Interactions of GATA-1, PU.1, and C/EBPε Isoforms Regulate Transcription of the Gene Encoding Eosinophil Granule Major Basic Protein. Journal of Biological Chemistry. 277(45). 43481–43494. 94 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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