Tadao Goto

19 total papers · 446 total citations
14 papers, 360 citations indexed

About

Tadao Goto is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Tadao Goto has authored 14 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 4 papers in Surgery and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Tadao Goto's work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Lipoproteins and Cardiovascular Health (4 papers) and Blood properties and coagulation (3 papers). Tadao Goto is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Lipoproteins and Cardiovascular Health (4 papers) and Blood properties and coagulation (3 papers). Tadao Goto collaborates with scholars based in Japan, South Korea and United Kingdom. Tadao Goto's co-authors include Naoki Nago, Kazunori Kayaba, Shizukiyo Ishikawa, Kazuomi Kario, Uichi Ikeda, Hironori Nakagami, Hitoshi Matsuo, Takeshi Mitsuhashi, Keiji Yamamoto and Akizumi Tsutsumi and has published in prestigious journals such as Diabetes Care, American Journal of Epidemiology and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Tadao Goto

14 papers receiving 343 citations

Author Peers

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

Author						Papers	Cites
Tadao Goto	135	90	86	79	52	14	360
J. Colley	85 0.6×	107 1.2×	16 0.2×	45 0.6×	28 0.5×	15	383
Sundararajan Srikanth	167 1.2×	94 1.0×	16 0.2×	67 0.8×	66 1.3×	15	376
Horst Mann	138 1.0×	237 2.6×	66 0.8×	138 1.7×	35 0.7×	12	371
George Hatzis	144 1.1×	62 0.7×	33 0.4×	40 0.5×	69 1.3×	15	399
Jae-Moon Yun	151 1.1×	43 0.5×	16 0.2×	83 1.1×	41 0.8×	9	375
Yi Wang	124 0.9×	98 1.1×	15 0.2×	25 0.3×	45 0.9×	19	357
Xiangyu Zhang	115 0.9×	77 0.9×	24 0.3×	46 0.6×	50 1.0×	18	316
Coral Pepper	101 0.7×	129 1.4×	38 0.4×	68 0.9×	30 0.6×	21	400
Christine Rossmann	83 0.6×	55 0.6×	17 0.2×	27 0.3×	62 1.2×	18	347
Cristina Zanoni	111 0.8×	56 0.6×	48 0.6×	56 0.7×	40 0.8×	19	366

Countries citing papers authored by Tadao Goto

Since Specialization

Citations

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

Fields of papers citing papers by Tadao Goto

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadao Goto

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