Maryse Power

84 total papers · 705 total citations
44 papers, 381 citations indexed

About

Maryse Power is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Maryse Power has authored 44 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Hematology, 21 papers in Genetics and 16 papers in Pathology and Forensic Medicine. Recurrent topics in Maryse Power's work include Chronic Lymphocytic Leukemia Research (18 papers), Lymphoma Diagnosis and Treatment (16 papers) and Chronic Myeloid Leukemia Treatments (13 papers). Maryse Power is often cited by papers focused on Chronic Lymphocytic Leukemia Research (18 papers), Lymphoma Diagnosis and Treatment (16 papers) and Chronic Myeloid Leukemia Treatments (13 papers). Maryse Power collaborates with scholars based in Canada, Saudi Arabia and Singapore. Maryse Power's co-authors include Kevin Song, John D. Shepherd, Stephen H. Nantel, Heather J. Sutherland, Donna L. Forrest, Thomas J. Nevill, Michael J. Barnett, Donna E. Hogge, Cynthia L. Toze and Joseph M. Connors and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Annals of Oncology.

In The Last Decade

Maryse Power

40 papers receiving 369 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Maryse Power	229	167	143	132	71	44	381
R. Vimercati	273 1.2×	192 1.1×	119 0.8×	145 1.1×	32 0.5×	26	437
Alessandro Bucalossi	219 1.0×	160 1.0×	89 0.6×	97 0.7×	44 0.6×	26	379
Gradimir Janković	246 1.1×	209 1.3×	85 0.6×	72 0.5×	51 0.7×	50	436
Jie Xu	113 0.5×	159 1.0×	193 1.3×	144 1.1×	31 0.4×	46	351
Atsushi Shinagawa	206 0.9×	110 0.7×	133 0.9×	145 1.1×	35 0.5×	39	444
Michihiko Masuda	175 0.8×	111 0.7×	86 0.6×	117 0.9×	22 0.3×	27	375
Hajime Yasuda	92 0.4×	114 0.7×	73 0.5×	109 0.8×	45 0.6×	54	361
U. Wandl	250 1.1×	161 1.0×	48 0.3×	72 0.5×	88 1.2×	26	343
Naoto Fujita	105 0.5×	55 0.3×	180 1.3×	132 1.0×	39 0.5×	42	383
Caner Saygin	143 0.6×	61 0.4×	105 0.7×	168 1.3×	31 0.4×	28	435

Countries citing papers authored by Maryse Power

Since Specialization

Citations

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

Fields of papers citing papers by Maryse Power

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maryse Power

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

All Works

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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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