Luke Maese

1.3k total citations
49 papers, 366 citations indexed

About

Luke Maese is a scholar working on Oncology, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Luke Maese has authored 49 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oncology, 16 papers in Public Health, Environmental and Occupational Health and 14 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Luke Maese's work include Acute Lymphoblastic Leukemia research (16 papers), Childhood Cancer Survivors' Quality of Life (13 papers) and Cancer-related Molecular Pathways (8 papers). Luke Maese is often cited by papers focused on Acute Lymphoblastic Leukemia research (16 papers), Childhood Cancer Survivors' Quality of Life (13 papers) and Cancer-related Molecular Pathways (8 papers). Luke Maese collaborates with scholars based in United States, Canada and Switzerland. Luke Maese's co-authors include Rachel E. Rau, Elizabeth A. Raetz, Anupam Verma, Wendy Kohlmann, Sarah K. Tasian, Joshua D. Schiffman, Christopher C. Porter, Carmelo Rizzari, Inge M. van der Sluis and Kim E. Nichols and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Luke Maese

41 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luke Maese United States 11 138 113 102 95 58 49 366
Joanna Zawitkowska Poland 11 173 1.3× 126 1.1× 115 1.1× 92 1.0× 121 2.1× 61 386
Zhixia Yue China 12 153 1.1× 157 1.4× 117 1.1× 92 1.0× 94 1.6× 31 438
Cristina N. Alonso Argentina 11 194 1.4× 91 0.8× 74 0.7× 71 0.7× 165 2.8× 30 384
Laura Rodríguez‐Romo Mexico 10 79 0.6× 98 0.9× 134 1.3× 38 0.4× 104 1.8× 18 405
Viera Bajčiová Czechia 9 50 0.4× 106 0.9× 74 0.7× 59 0.6× 18 0.3× 34 294
Shotaro Iwamoto Japan 6 175 1.3× 130 1.2× 81 0.8× 83 0.9× 153 2.6× 8 364
Juliana Godoy Assumpção Brazil 10 70 0.5× 175 1.5× 89 0.9× 44 0.5× 62 1.1× 19 304
Melanie M. Hagleitner Netherlands 10 53 0.4× 104 0.9× 73 0.7× 37 0.4× 23 0.4× 25 267
Jasmijn de Rooij Netherlands 8 153 1.1× 229 2.0× 61 0.6× 58 0.6× 288 5.0× 15 468
Francesca Vendemini Italy 10 42 0.3× 136 1.2× 54 0.5× 41 0.4× 121 2.1× 16 302

Countries citing papers authored by Luke Maese

Since Specialization
Citations

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

Fields of papers citing papers by Luke Maese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luke Maese

This figure shows the co-authorship network connecting the top 25 collaborators of Luke Maese. A scholar is included among the top collaborators of Luke Maese 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 Luke Maese. Luke Maese 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.
Le, Anh N., Kristin Zelley, Luke Maese, et al.. (2025). Pancreatic Cancer Risk and Screening Outcomes in Li-Fraumeni Syndrome. Pancreas. 54(7). e618–e623. 1 indexed citations
2.
Wu, Yelena P., Jada G. Hamilton, Wendy Kohlmann, et al.. (2025). Parental perspectives on the use of tumor molecular profiling and germline genetic testing during their children's cancer treatment. Familial Cancer. 24(3). 63–63.
3.
Shulman, David S., Kelly Klega, Nan Chen, et al.. (2024). Prospective evaluation of pre-treatment ctDNA burden in localized osteosarcoma to identify patients with inferior outcomes: A report from the LEOPARD study.. Journal of Clinical Oncology. 42(16_suppl). 11510–11510. 1 indexed citations
4.
Maese, Luke, Marcin W. Włodarski, Alison A. Bertuch, et al.. (2024). Update on Recommendations for Surveillance for Children with Predisposition to Hematopoietic Malignancy. Clinical Cancer Research. 30(19). 4286–4295. 3 indexed citations
5.
Nakano, Yoshiko, Roland P. Kuiper, Kim E. Nichols, et al.. (2024). Update on Recommendations for Cancer Screening and Surveillance in Children with Genomic Instability Disorders. Clinical Cancer Research. 30(22). 5009–5020. 8 indexed citations
6.
Florou, Vaia, et al.. (2024). Genetic Predisposition to Sarcoma: What Should Clinicians Know?. Current Treatment Options in Oncology. 25(6). 769–783.
7.
Maese, Luke, Etan Orgel, Lei Bai, et al.. (2024). Managing Hypersensitivity Reactions after Asparaginase Treatment: A Systematic Literature Review. Blood. 144(Supplement 1). 7611–7611.
8.
Fair, Douglas, Luke Maese, Yueh‐Yun Chi, et al.. (2023). TP53 germline pathogenic variant frequency in anaplastic rhabdomyosarcoma: A Children's Oncology Group report. Pediatric Blood & Cancer. 70(9). e30413–e30413. 4 indexed citations
9.
MacFarland, Suzanne P., Luke Maese, Surya P. Rednam, et al.. (2022). Collaboration to Promote Research and Improve Clinical Care in the Evolving Field of Childhood Cancer Predisposition. Cancer Prevention Research. 15(10). 645–652. 3 indexed citations
10.
Schiffman, Joshua D., et al.. (2022). Germline predisposition to soft tissue sarcoma. Journal of Cancer Metastasis and Treatment. 8. 31–31. 5 indexed citations
11.
Maese, Luke & Rachel E. Rau. (2022). Current Use of Asparaginase in Acute Lymphoblastic Leukemia/Lymphoblastic Lymphoma. Frontiers in Pediatrics. 10. 902117–902117. 45 indexed citations
14.
Kohlmann, Wendy, et al.. (2021). Lung Cancer in Li-Fraumeni Syndrome. JCO Precision Oncology. 5(5). 552–556. 6 indexed citations
15.
Maese, Luke, et al.. (2021). Clinical Utility of Pegaspargase in Children, Adolescents and Young Adult Patients with Acute Lymphoblastic Leukemia: A Review. SHILAP Revista de lepidopterología. Volume 11. 25–40. 26 indexed citations
16.
George, Tracy I., et al.. (2020). Bone marrow necrosis in pediatric malignancies: 10‐Year retrospective review and review of literature. Pediatric Blood & Cancer. 68(3). e28806–e28806. 1 indexed citations
17.
Rower, Joseph E., Diana G. Wilkins, Jacob Wilkes, et al.. (2020). Dronabinol Prescribing and Exposure Among Children and Young Adults Diagnosed with Cancer. Journal of Adolescent and Young Adult Oncology. 10(2). 175–184. 5 indexed citations
18.
Maese, Luke & Elizabeth A. Raetz. (2019). Can Ph-like ALL be effectively targeted?. Best Practice & Research Clinical Haematology. 32(4). 101096–101096. 6 indexed citations
19.
Maese, Luke, Sarah K. Tasian, & Elizabeth A. Raetz. (2017). How is the Ph-like signature being incorporated into ALL therapy?. Best Practice & Research Clinical Haematology. 30(3). 222–228. 18 indexed citations
20.
Andrade, Daniel, Jason Singer, Luke Maese, et al.. (2016). SUMOylation Regulates Growth Factor Independence 1 in Transcriptional Control and Hematopoiesis. Molecular and Cellular Biology. 36(10). 1438–1450. 15 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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