T Kudo

55 total papers · 489 total citations
26 papers, 371 citations indexed

About

T Kudo is a scholar working on Neurology, Pulmonary and Respiratory Medicine and Anesthesiology and Pain Medicine. According to data from OpenAlex, T Kudo has authored 26 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Anesthesiology and Pain Medicine. Recurrent topics in T Kudo's work include Intracranial Aneurysms: Treatment and Complications (7 papers), Vascular Malformations Diagnosis and Treatment (6 papers) and Traumatic Brain Injury and Neurovascular Disturbances (3 papers). T Kudo is often cited by papers focused on Intracranial Aneurysms: Treatment and Complications (7 papers), Vascular Malformations Diagnosis and Treatment (6 papers) and Traumatic Brain Injury and Neurovascular Disturbances (3 papers). T Kudo collaborates with scholars based in Japan. T Kudo's co-authors include Joji M. Otaki, Masaki Iwata, Atsuki Hiyama, Shigeharu Suzuki, Tsutomu Oyama, Kei Hirai, Akemi Yamagishi, Mitsunori Miyashita, Miki Akiyama and Kenji Eguchi and has published in prestigious journals such as Neurosurgery, Transplantation and Anesthesia & Analgesia.

In The Last Decade

T Kudo

24 papers receiving 339 citations

Author Peers

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

Author						Papers	Cites
T Kudo	98	93	48	42	38	26	371
Yasuhito Nerome	29 0.3×	33 0.4×	13 0.3×	26 0.6×	67 1.8×	31	340
Alberto Rivera	28 0.3×	23 0.2×	41 0.9×	10 0.2×	108 2.8×	24	371
Jenneke Christiaens	121 1.2×	14 0.2×	15 0.3×	10 0.2×	68 1.8×	54	427
Yue Chang	12 0.1×	14 0.2×	29 0.6×	22 0.5×	57 1.5×	28	441
Ruili Zhang	38 0.4×	27 0.3×	88 1.8×	11 0.3×	71 1.9×	43	352
J Jacobson	98 1.0×	46 0.5×	87 1.8×	3 0.1×	69 1.8×	22	403
Tamara L. Smith	7 0.1×	110 1.2×	105 2.2×	51 1.2×	29 0.8×	23	428
Harrison	16 0.2×	102 1.1×	20 0.4×	7 0.2×	29 0.8×	27	360
Sarah Fleming	11 0.1×	59 0.6×	44 0.9×	24 0.6×	48 1.3×	32	362
Nalini Mishra	112 1.1×	65 0.7×	36 0.8×	5 0.1×	78 2.1×	36	427

Countries citing papers authored by T Kudo

Since Specialization

Citations

This map shows the geographic impact of T Kudo'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 T Kudo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Kudo more than expected).

Fields of papers citing papers by T Kudo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Kudo

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