Y Goto

42 total papers · 552 total citations
21 papers, 383 citations indexed

About

Y Goto is a scholar working on Cardiology and Cardiovascular Medicine, Anesthesiology and Pain Medicine and Surgery. According to data from OpenAlex, Y Goto has authored 21 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 9 papers in Anesthesiology and Pain Medicine and 8 papers in Surgery. Recurrent topics in Y Goto's work include Cardiac, Anesthesia and Surgical Outcomes (9 papers), Anesthesia and Sedative Agents (7 papers) and Hemodynamic Monitoring and Therapy (6 papers). Y Goto is often cited by papers focused on Cardiac, Anesthesia and Surgical Outcomes (9 papers), Anesthesia and Sedative Agents (7 papers) and Hemodynamic Monitoring and Therapy (6 papers). Y Goto collaborates with scholars based in Japan. Y Goto's co-authors include Yûji Matsuya, Masako Unemori, A. Akamine, Koichi Tsuzaki, Yasuhide Iwao, Shuji Dohi, Kiyoshi Morita, Tsutomu Kobayashi, Masato Fukuda and Takeyasu Yamamura and has published in prestigious journals such as Anesthesia & Analgesia, Investigative Ophthalmology & Visual Science and Gene Therapy.

In The Last Decade

Y Goto

21 papers receiving 352 citations

Author Peers

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

Author						Papers	Cites
Y Goto	128	114	98	91	58	21	383
Chalmers J. Lyons	69 0.5×	25 0.2×	33 0.3×	41 0.5×	295 5.1×	15	420
Tácio Pinheiro Bezerra	19 0.1×	25 0.2×	128 1.3×	24 0.3×	229 3.9×	31	404
Giovanni D’Alessandro	25 0.2×	13 0.1×	28 0.3×	16 0.2×	71 1.2×	36	388
Diane Blais	14 0.1×	64 0.6×	137 1.4×	38 0.4×	32 0.6×	19	404
Dyani Gaudillière	24 0.2×	9 0.1×	65 0.7×	42 0.5×	68 1.2×	19	336
Fabien Espitalier	162 1.3×	97 0.9×	152 1.6×	4 0.0×	12 0.2×	28	390
Deepak Chauhan	3 0.0×	41 0.4×	28 0.3×	69 0.8×	103 1.8×	42	362
Gustav O. Kruger	9 0.1×	66 0.6×	120 1.2×	13 0.1×	105 1.8×	18	371
Surendra Singh	37 0.3×	120 1.1×	199 2.0×	56 0.6×	49 0.8×	25	385
Marina Vitale	9 0.1×	8 0.1×	39 0.4×	133 1.5×	172 3.0×	35	438

Countries citing papers authored by Y Goto

Since Specialization

Citations

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

Fields of papers citing papers by Y Goto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Y Goto

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