Toshimitsu Ueki

71 total papers · 1.0k total citations
42 papers, 387 citations indexed

About

Toshimitsu Ueki is a scholar working on Epidemiology, Hematology and Oncology. According to data from OpenAlex, Toshimitsu Ueki has authored 42 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 15 papers in Hematology and 13 papers in Oncology. Recurrent topics in Toshimitsu Ueki's work include Cytomegalovirus and herpesvirus research (11 papers), Hematopoietic Stem Cell Transplantation (10 papers) and Lymphoma Diagnosis and Treatment (9 papers). Toshimitsu Ueki is often cited by papers focused on Cytomegalovirus and herpesvirus research (11 papers), Hematopoietic Stem Cell Transplantation (10 papers) and Lymphoma Diagnosis and Treatment (9 papers). Toshimitsu Ueki collaborates with scholars based in Japan and United States. Toshimitsu Ueki's co-authors include Takahiro Fukuda, Nobuhiko Uoshima, Masao Ogata, Shinichi Kako, Masahiko Sumi, Koji Nagafuji, Takako Satou, Hidekazu Itamura, Jun‐ichi Kadota and Naoaki Ichikawa and has published in prestigious journals such as Blood, Clinical Infectious Diseases and Bone Marrow Transplantation.

In The Last Decade

Toshimitsu Ueki

37 papers receiving 378 citations

Author Peers

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

Author						Papers	Cites
Toshimitsu Ueki	219	160	128	64	53	42	387
Anna Mele	151 0.7×	186 1.2×	189 1.5×	35 0.5×	101 1.9×	25	407
Baldeep Wirk	89 0.4×	105 0.7×	138 1.1×	59 0.9×	32 0.6×	32	347
Valkal Bhatt	144 0.7×	134 0.8×	123 1.0×	70 1.1×	11 0.2×	43	380
Michael R. Wollman	155 0.7×	75 0.5×	76 0.6×	23 0.4×	13 0.2×	33	423
Stef Meers	218 1.0×	60 0.4×	101 0.8×	174 2.7×	52 1.0×	22	413
Yuju Ohno	106 0.5×	121 0.8×	253 2.0×	21 0.3×	29 0.5×	34	380
Caterina Messina	179 0.8×	128 0.8×	68 0.5×	44 0.7×	31 0.6×	25	395
R Cabrera	102 0.5×	63 0.4×	172 1.3×	56 0.9×	17 0.3×	26	337
Montserrat Rovira	76 0.3×	109 0.7×	121 0.9×	42 0.7×	17 0.3×	24	348
Laurence Clément	127 0.6×	127 0.8×	166 1.3×	39 0.6×	9 0.2×	34	430

Countries citing papers authored by Toshimitsu Ueki

Since Specialization

Citations

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

Fields of papers citing papers by Toshimitsu Ueki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshimitsu Ueki

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