Masashi Ukai

36 total papers · 958 total citations
30 papers, 790 citations indexed

About

Masashi Ukai is a scholar working on Urology, Molecular Biology and Physiology. According to data from OpenAlex, Masashi Ukai has authored 30 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Urology, 8 papers in Molecular Biology and 8 papers in Physiology. Recurrent topics in Masashi Ukai's work include Urinary Bladder and Prostate Research (19 papers), Nitric Oxide and Endothelin Effects (7 papers) and Pelvic floor disorders treatments (6 papers). Masashi Ukai is often cited by papers focused on Urinary Bladder and Prostate Research (19 papers), Nitric Oxide and Endothelin Effects (7 papers) and Pelvic floor disorders treatments (6 papers). Masashi Ukai collaborates with scholars based in Japan, Netherlands and United States. Masashi Ukai's co-authors include Masao Sasamata, Keiji Miyata, Akiyoshi Ohtake, Shuichi Sato, Itsuro Nagase, Osamu Yamaguchi, Tetsuo Matsui, Hisashi Uchida, Toshiyuki Takasu and Tatsuya Maruyama and has published in prestigious journals such as FEBS Letters, The Journal of Urology and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Masashi Ukai

28 papers receiving 757 citations

Author Peers

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

Author						Papers	Cites
Masashi Ukai	521	277	230	128	122	30	790
Akiyoshi Ohtake	487 0.9×	220 0.8×	174 0.8×	87 0.7×	119 1.0×	39	645
Fabiano Beraldi Calmasini	248 0.5×	78 0.3×	100 0.4×	129 1.0×	169 1.4×	49	654
R. Testa	251 0.5×	71 0.3×	104 0.5×	285 2.2×	187 1.5×	49	908
Fábio Henrique Silva	244 0.5×	61 0.2×	55 0.2×	100 0.8×	198 1.6×	46	651
Omar Hayek	175 0.3×	52 0.2×	32 0.1×	203 1.6×	281 2.3×	24	835
Katsushi Shibata	180 0.3×	41 0.1×	38 0.2×	494 3.9×	144 1.2×	29	852
Lars B. Wadström	51 0.1×	59 0.2×	151 0.7×	172 1.3×	139 1.1×	19	716
Argentina Fernández	224 0.4×	25 0.1×	21 0.1×	109 0.9×	383 3.1×	38	832
José M. La Fuente	183 0.4×	25 0.1×	20 0.1×	86 0.7×	272 2.2×	31	632
Jong‐Jer Lee	46 0.1×	32 0.1×	137 0.6×	179 1.4×	67 0.5×	33	649

Countries citing papers authored by Masashi Ukai

Since Specialization

Citations

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

Fields of papers citing papers by Masashi Ukai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masashi Ukai

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