Taito Kitano

92 total papers · 735 total citations
50 papers, 349 citations indexed

About

Taito Kitano is a scholar working on Epidemiology, Infectious Diseases and Health. According to data from OpenAlex, Taito Kitano has authored 50 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Epidemiology, 13 papers in Infectious Diseases and 11 papers in Health. Recurrent topics in Taito Kitano's work include Respiratory viral infections research (11 papers), Vaccine Coverage and Hesitancy (11 papers) and Pneumonia and Respiratory Infections (10 papers). Taito Kitano is often cited by papers focused on Respiratory viral infections research (11 papers), Vaccine Coverage and Hesitancy (11 papers) and Pneumonia and Respiratory Infections (10 papers). Taito Kitano collaborates with scholars based in Japan, United States and Canada. Taito Kitano's co-authors include Sayaka Yoshida, Mugen Ujiie, Shinya Tsuzuki, Pierre‐Philippe Piché‐Renaud, Masahiro Takeyama, Helen Groves, Hiroki Nishikawa, Michelle Science, Hajime Yasuhara and Rika Suzuki and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and American Journal of Epidemiology.

In The Last Decade

Taito Kitano

44 papers receiving 346 citations

Author Peers

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

Author						Papers	Cites
Taito Kitano	202	85	80	66	44	50	349
Marion Le Maréchal	134 0.7×	144 1.7×	47 0.6×	68 1.0×	29 0.7×	33	336
Samah Awad	100 0.5×	64 0.8×	39 0.5×	45 0.7×	59 1.3×	28	400
Dawood Yusef	121 0.6×	74 0.9×	39 0.5×	107 1.6×	28 0.6×	23	378
Rachel Byford	184 0.9×	66 0.8×	68 0.8×	12 0.2×	30 0.7×	42	392
Andrea Davide Porretta	146 0.7×	117 1.4×	56 0.7×	74 1.1×	24 0.5×	26	368
Michael A. Peters	67 0.3×	88 1.0×	32 0.4×	43 0.7×	17 0.4×	40	372
Zanthia Wiley	110 0.5×	84 1.0×	30 0.4×	31 0.5×	12 0.3×	39	336
Lynora Saxinger	109 0.5×	117 1.4×	23 0.3×	46 0.7×	33 0.8×	34	374
Costanza Vicentini	81 0.4×	92 1.1×	94 1.2×	71 1.1×	14 0.3×	46	337
Moses Mukosha	102 0.5×	109 1.3×	131 1.6×	85 1.3×	7 0.2×	57	371

Countries citing papers authored by Taito Kitano

Since Specialization

Citations

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

Fields of papers citing papers by Taito Kitano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taito Kitano

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