Masayuki Umeda

93 total papers · 1.1k total citations
24 papers, 444 citations indexed

About

Masayuki Umeda is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Masayuki Umeda has authored 24 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hematology, 9 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Masayuki Umeda's work include Acute Myeloid Leukemia Research (10 papers), Protein Degradation and Inhibitors (6 papers) and Spine and Intervertebral Disc Pathology (4 papers). Masayuki Umeda is often cited by papers focused on Acute Myeloid Leukemia Research (10 papers), Protein Degradation and Inhibitors (6 papers) and Spine and Intervertebral Disc Pathology (4 papers). Masayuki Umeda collaborates with scholars based in Japan, United States and Italy. Masayuki Umeda's co-authors include Hirokazu Iida, Taketoshi Kushida, Kenichi Oe, Susumu Ikehara, Naofumi Okamoto, Lola E. Navas, Antonio Lucena-Cacace, Amancio Carnero, Jing Ma and Jeffery M. Klco and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Blood.

In The Last Decade

Masayuki Umeda

22 papers receiving 433 citations

Author Peers

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

Author						Papers	Cites
Masayuki Umeda	224	133	125	89	73	24	444
H. Oda	152 0.7×	72 0.5×	39 0.3×	101 1.1×	38 0.5×	19	390
Daisuke Tateiwa	115 0.5×	63 0.5×	85 0.7×	150 1.7×	79 1.1×	22	450
Hiroyuki Tsukazaki	104 0.5×	72 0.5×	78 0.6×	170 1.9×	60 0.8×	16	469
Robert B. Duthie	211 0.9×	62 0.5×	32 0.3×	81 0.9×	33 0.5×	27	494
Lewis S. Hanna	149 0.7×	37 0.3×	41 0.3×	110 1.2×	44 0.6×	17	490
Xiaoxi Yang	279 1.2×	54 0.4×	173 1.4×	101 1.1×	30 0.4×	31	450
Caterina Cattani	70 0.3×	37 0.3×	47 0.4×	65 0.7×	43 0.6×	16	371
L. Coulton	68 0.3×	96 0.7×	36 0.3×	115 1.3×	131 1.8×	27	465
Daniel Zahner	142 0.6×	91 0.7×	24 0.2×	108 1.2×	87 1.2×	18	405
Wusheng Kan	173 0.8×	58 0.4×	92 0.7×	94 1.1×	35 0.5×	26	376

Countries citing papers authored by Masayuki Umeda

Since Specialization

Citations

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

Fields of papers citing papers by Masayuki Umeda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masayuki Umeda

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