Lili Aslostovar

602 total citations
8 papers, 406 citations indexed

About

Lili Aslostovar is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Lili Aslostovar has authored 8 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Hematology and 2 papers in Genetics. Recurrent topics in Lili Aslostovar's work include Acute Myeloid Leukemia Research (4 papers), Pluripotent Stem Cells Research (3 papers) and Epigenetics and DNA Methylation (3 papers). Lili Aslostovar is often cited by papers focused on Acute Myeloid Leukemia Research (4 papers), Pluripotent Stem Cells Research (3 papers) and Epigenetics and DNA Methylation (3 papers). Lili Aslostovar collaborates with scholars based in Canada, Slovakia and United States. Lili Aslostovar's co-authors include Mickie Bhatia, Zoya Shapovalova, Allison L. Boyd, Brian Leber, Ronan Foley, Anargyros Xenocostas, Deanna P. Porras, Jennifer Reid, Borko Tanasijevic and Tony Collins and has published in prestigious journals such as Nature Cell Biology, Cancer Cell and Stem Cells.

In The Last Decade

Lili Aslostovar

8 papers receiving 403 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lili Aslostovar Canada 7 237 197 71 71 63 8 406
Tim Grob Netherlands 7 190 0.8× 309 1.6× 39 0.5× 29 0.4× 52 0.8× 18 423
Mehmet Saçma Germany 7 150 0.6× 244 1.2× 44 0.6× 152 2.1× 15 0.2× 13 394
Parimala Sonika Godavarthy Germany 8 95 0.4× 134 0.7× 62 0.9× 61 0.9× 38 0.6× 10 249
Ashley M. Wellendorf United States 11 197 0.8× 122 0.6× 54 0.8× 137 1.9× 44 0.7× 22 401
Cates Mallaney United States 8 438 1.8× 282 1.4× 31 0.4× 82 1.2× 84 1.3× 16 570
Alberto Del Monte-Monge Spain 6 130 0.5× 132 0.7× 32 0.5× 191 2.7× 38 0.6× 9 361
A.Yu. Zaritskey Russia 3 153 0.6× 191 1.0× 89 1.3× 83 1.2× 35 0.6× 6 329
Rebecca H. Horton United Kingdom 4 182 0.8× 77 0.4× 46 0.6× 50 0.7× 65 1.0× 8 295
Samuel J. Taylor United States 10 146 0.6× 123 0.6× 67 0.9× 73 1.0× 24 0.4× 21 333
Simon Renders Germany 9 121 0.5× 126 0.6× 48 0.7× 113 1.6× 38 0.6× 17 295

Countries citing papers authored by Lili Aslostovar

Since Specialization
Citations

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

Fields of papers citing papers by Lili Aslostovar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lili Aslostovar

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

All Works

8 of 8 papers shown
1.
Orlando, Luca, Yannick D. Benoit, Jennifer Reid, et al.. (2023). Chemical genomics reveals targetable programs of human cancers rooted in pluripotency. Cell chemical biology. 30(7). 780–794.e8. 4 indexed citations
2.
Orlando, Luca, Borko Tanasijevic, Mio Nakanishi, et al.. (2021). Phosphorylation state of the histone variant H2A.X controls human stem and progenitor cell fate decisions. Cell Reports. 34(10). 108818–108818. 14 indexed citations
3.
Aslostovar, Lili, Allison L. Boyd, Yannick D. Benoit, et al.. (2021). Abnormal dopamine receptor signaling allows selective therapeutic targeting of neoplastic progenitors in AML patients. Cell Reports Medicine. 2(2). 100202–100202. 7 indexed citations
4.
Boyd, Allison L., Lili Aslostovar, Jennifer Reid, et al.. (2018). Identification of Chemotherapy-Induced Leukemic-Regenerating Cells Reveals a Transient Vulnerability of Human AML Recurrence. Cancer Cell. 34(3). 483–498.e5. 111 indexed citations
5.
Aslostovar, Lili, Allison L. Boyd, Tony Collins, et al.. (2018). A phase 1 trial evaluating thioridazine in combination with cytarabine in patients with acute myeloid leukemia. Blood Advances. 2(15). 1935–1945. 31 indexed citations
6.
Boyd, Allison L., Jennifer Reid, Lili Aslostovar, et al.. (2017). Acute myeloid leukaemia disrupts endogenous myelo-erythropoiesis by compromising the adipocyte bone marrow niche. Nature Cell Biology. 19(11). 1336–1347. 156 indexed citations
7.
Benoit, Yannick D., Ryan R. Mitchell, Ruth M. Risueño, et al.. (2017). Sam68 Allows Selective Targeting of Human Cancer Stem Cells. Cell chemical biology. 24(7). 833–844.e9. 43 indexed citations
8.
Mitchell, Ryan R., Éva Szabó, Zoya Shapovalova, et al.. (2014). Molecular Evidence for OCT4-Induced Plasticity in Adult Human Fibroblasts Required for Direct Cell Fate Conversion to Lineage Specific Progenitors. Stem Cells. 32(8). 2178–2187. 40 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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