T. Sakai

63 total papers · 909 total citations
43 papers, 690 citations indexed

About

T. Sakai is a scholar working on Infectious Diseases, Surgery and Virology. According to data from OpenAlex, T. Sakai has authored 43 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 8 papers in Surgery and 8 papers in Virology. Recurrent topics in T. Sakai's work include Rabies epidemiology and control (8 papers), Viral gastroenteritis research and epidemiology (5 papers) and Microbial infections and disease research (5 papers). T. Sakai is often cited by papers focused on Rabies epidemiology and control (8 papers), Viral gastroenteritis research and epidemiology (5 papers) and Microbial infections and disease research (5 papers). T. Sakai collaborates with scholars based in Japan, Brazil and United States. T. Sakai's co-authors include Takuya Itou, Masato Kitagawa, Kiichi KANAYAMA, Katsuhiko Fukai, Fuyuki Ito, Yuki Kobayashi, Go Sato, Thongchai Chalermchaikit, Hiroshi KOIE and K Fukai and has published in prestigious journals such as Journal of Dental Research, International Journal of Food Microbiology and Journal of General Virology.

In The Last Decade

T. Sakai

42 papers receiving 636 citations

Author Peers

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

Author						Papers	Cites
T. Sakai	205	132	100	79	71	43	690
Georgia D. Brellou	116 0.6×	96 0.7×	58 0.6×	59 0.7×	67 0.9×	51	585
Carl Hård af Segerstad	137 0.7×	61 0.5×	17 0.2×	155 2.0×	69 1.0×	30	789
Toshifumi OYAMADA	43 0.2×	55 0.4×	84 0.8×	126 1.6×	32 0.5×	83	665
W Kraft	168 0.8×	104 0.8×	31 0.3×	47 0.6×	28 0.4×	65	681
Vincenzo Cuteri	194 0.9×	36 0.3×	52 0.5×	66 0.8×	45 0.6×	65	727
A. R. Dillon	244 1.2×	24 0.2×	63 0.6×	64 0.8×	212 3.0×	41	677
I. Vlemmas	107 0.5×	58 0.4×	64 0.6×	153 1.9×	48 0.7×	44	638
Susan V. Gibson	174 0.8×	194 1.5×	152 1.5×	132 1.7×	28 0.4×	30	706
Rudy W. Bauer	97 0.5×	83 0.6×	35 0.3×	44 0.6×	155 2.2×	45	674
I. Kunstýř	94 0.5×	42 0.3×	20 0.2×	144 1.8×	118 1.7×	55	596

Countries citing papers authored by T. Sakai

Since Specialization

Citations

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

Fields of papers citing papers by T. Sakai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Sakai

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