Mayumi Ueno

69 total papers · 564 total citations
46 papers, 380 citations indexed

About

Mayumi Ueno is a scholar working on Hematology, Pathology and Forensic Medicine and Epidemiology. According to data from OpenAlex, Mayumi Ueno has authored 46 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hematology, 10 papers in Pathology and Forensic Medicine and 9 papers in Epidemiology. Recurrent topics in Mayumi Ueno's work include Lymphoma Diagnosis and Treatment (9 papers), CNS Lymphoma Diagnosis and Treatment (5 papers) and Acute Myeloid Leukemia Research (5 papers). Mayumi Ueno is often cited by papers focused on Lymphoma Diagnosis and Treatment (9 papers), CNS Lymphoma Diagnosis and Treatment (5 papers) and Acute Myeloid Leukemia Research (5 papers). Mayumi Ueno collaborates with scholars based in Japan and Australia. Mayumi Ueno's co-authors include Naoaki Ichikawa, Hikaru Kobayashi, Masahiko Sumi, Ikuo Shimizu, Kendo Kiyosawa, Keijiro Sato, Kiyoshi Kitano, Toshimitsu Ueki, Hikaru Kobayashi and Fumihiro Ishida and has published in prestigious journals such as Blood, British Journal of Haematology and Journal of Wildlife Management.

In The Last Decade

Mayumi Ueno

41 papers receiving 367 citations

Author Peers

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

Author						Papers	Cites
Mayumi Ueno	98	81	71	70	64	46	380
Yasuo Matsuoka	66 0.7×	60 0.7×	37 0.5×	141 2.0×	55 0.9×	49	401
Nodoka Sekiguchi	84 0.9×	40 0.5×	64 0.9×	33 0.5×	59 0.9×	51	406
R Jean	49 0.5×	49 0.6×	58 0.8×	79 1.1×	88 1.4×	45	405
PY Hatron	81 0.8×	51 0.6×	43 0.6×	133 1.9×	74 1.2×	35	356
Dennis John Kuo	43 0.4×	51 0.6×	30 0.4×	42 0.6×	87 1.4×	51	372
A K Karak	65 0.7×	25 0.3×	75 1.1×	45 0.6×	43 0.7×	43	442
Taiji Yokote	67 0.7×	60 0.7×	28 0.4×	35 0.5×	23 0.4×	60	370
Zeinab Afify	63 0.6×	82 1.0×	30 0.4×	24 0.3×	35 0.5×	28	338
Vahap Okan	76 0.8×	136 1.7×	80 1.1×	16 0.2×	40 0.6×	30	444
Elam C. Toone	92 0.9×	42 0.5×	49 0.7×	205 2.9×	36 0.6×	31	442

Countries citing papers authored by Mayumi Ueno

Since Specialization

Citations

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

Fields of papers citing papers by Mayumi Ueno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayumi Ueno

This figure shows the co-authorship network connecting the top 25 collaborators of Mayumi Ueno. A scholar is included among the top collaborators of Mayumi Ueno 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 Mayumi Ueno. Mayumi Ueno 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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