Ashish Masurekar

515 total citations
9 papers, 358 citations indexed

About

Ashish Masurekar is a scholar working on Public Health, Environmental and Occupational Health, Hematology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Ashish Masurekar has authored 9 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Public Health, Environmental and Occupational Health, 5 papers in Hematology and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Ashish Masurekar's work include Acute Lymphoblastic Leukemia research (6 papers), Acute Myeloid Leukemia Research (4 papers) and Childhood Cancer Survivors' Quality of Life (3 papers). Ashish Masurekar is often cited by papers focused on Acute Lymphoblastic Leukemia research (6 papers), Acute Myeloid Leukemia Research (4 papers) and Childhood Cancer Survivors' Quality of Life (3 papers). Ashish Masurekar collaborates with scholars based in United Kingdom, India and Australia. Ashish Masurekar's co-authors include Vaskar Saha, Catriona Parker, Philip Darbyshire, Anthony V. Moorman, Rosemary Sutton, Tamás Révész, Jeremy Hancock, Sharon Love, Mary Morgan and Philip Ancliff and has published in prestigious journals such as The Lancet, Blood and PLoS ONE.

In The Last Decade

Ashish Masurekar

9 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashish Masurekar United Kingdom 6 215 144 108 101 83 9 358
Gabriele Körner Germany 7 222 1.0× 194 1.3× 64 0.6× 78 0.8× 68 0.8× 7 299
Joanna Zawitkowska Poland 11 173 0.8× 121 0.8× 115 1.1× 92 0.9× 126 1.5× 61 386
Shotaro Iwamoto Japan 6 175 0.8× 153 1.1× 81 0.8× 83 0.8× 130 1.6× 8 364
Sitaram Ghogale India 12 197 0.9× 174 1.2× 95 0.9× 59 0.6× 47 0.6× 29 320
M. M. A. Rottier Netherlands 7 178 0.8× 103 0.7× 150 1.4× 73 0.7× 176 2.1× 9 394
Andrea Inthal Austria 9 207 1.0× 167 1.2× 43 0.4× 60 0.6× 128 1.5× 13 321
Laura Key United States 3 231 1.1× 192 1.3× 62 0.6× 102 1.0× 80 1.0× 5 347
Gannie Tzoneva United States 4 177 0.8× 111 0.8× 47 0.4× 77 0.8× 134 1.6× 8 314
Lüder Hinrich Meyer Germany 10 170 0.8× 144 1.0× 116 1.1× 46 0.5× 181 2.2× 24 381
GJ Broekema Netherlands 8 232 1.1× 159 1.1× 78 0.7× 74 0.7× 183 2.2× 9 390

Countries citing papers authored by Ashish Masurekar

Since Specialization
Citations

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

Fields of papers citing papers by Ashish Masurekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashish Masurekar

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

All Works

9 of 9 papers shown
1.
Masurekar, Ashish, Catriona Parker, Jizhong Liu, et al.. (2022). Activity and toxicity of intramuscular 1000 iu/m2 polyethylene glycol‐E. coliL‐asparaginase in the UKALL 2003 and UKALL 2011 clinical trials. British Journal of Haematology. 198(1). 142–150. 5 indexed citations
2.
Cuvertino, Sara, et al.. (2016). SOX7 promotes the maintenance and proliferation of B cell precursor acute lymphoblastic cells. Oncotarget. 8(39). 64974–64983. 6 indexed citations
3.
Masurekar, Ashish, Suzanne M. Johnson, Sohini Chakraborty, et al.. (2015). Stromal cell-mediated mitochondrial redox adaptation regulates drug resistance in childhood acute lymphoblastic leukemia. Oncotarget. 6(40). 43048–43064. 24 indexed citations
4.
Masurekar, Ashish, Catriona Parker, Milensu Shanyinde, et al.. (2014). Outcome of Central Nervous System Relapses In Childhood Acute Lymphoblastic Leukaemia – Prospective Open Cohort Analyses of the ALLR3 Trial. PLoS ONE. 9(10). e108107–e108107. 40 indexed citations
5.
Liu, Jizhong, Ashish Masurekar, Mark Holland, et al.. (2012). Abstract 1506: Bone marrow microenvironment mediated redox adaptation confers drug resistance in acute lymphoblastic leukemia. Cancer Research. 72(8_Supplement). 1506–1506. 1 indexed citations
6.
Holland, Mark, Fernanda Castro, Duncan L. Smith, et al.. (2011). RAC2, AEP, and ICAM1 expression are associated with CNS disease in a mouse model of pre-B childhood acute lymphoblastic leukemia. Blood. 118(3). 638–649. 42 indexed citations
7.
8.
Parker, Catriona, Rachel Waters, Jeremy Hancock, et al.. (2010). Effect of mitoxantrone on outcome of children with first relapse of acute lymphoblastic leukaemia (ALL R3): an open-label randomised trial. The Lancet. 376(9757). 2009–2017. 229 indexed citations
9.
Lucas, Geoff, Gamal Sidra, Ann Green, et al.. (2009). Recipient‐derived HPA‐1a antibodies: a cause of prolonged thrombocytopenia after unrelated donor stem cell transplantation. Transfusion. 50(2). 334–339. 10 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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