Taketoshi Iwata

61 total papers · 1.0k total citations
46 papers, 750 citations indexed

About

Taketoshi Iwata is a scholar working on Food Science, Endocrinology and Ecology. According to data from OpenAlex, Taketoshi Iwata has authored 46 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Food Science, 16 papers in Endocrinology and 11 papers in Ecology. Recurrent topics in Taketoshi Iwata's work include Salmonella and Campylobacter epidemiology (25 papers), Bacteriophages and microbial interactions (11 papers) and Vibrio bacteria research studies (9 papers). Taketoshi Iwata is often cited by papers focused on Salmonella and Campylobacter epidemiology (25 papers), Bacteriophages and microbial interactions (11 papers) and Vibrio bacteria research studies (9 papers). Taketoshi Iwata collaborates with scholars based in Japan, United States and India. Taketoshi Iwata's co-authors include Masato Akiba, Masahiro Kusumoto, Hideki HAYASHIDANI, Kenichi Lee, Tsuyoshi Sekizuka, Makoto Kuroda, Alexandre Tomomitsu OKATANI, Takahide Taniguchi, Yukino Tamamura-Andoh and Ikuo Uchida and has published in prestigious journals such as Nature Communications, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Taketoshi Iwata

43 papers receiving 734 citations

Author Peers

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

Author						Papers	Cites
Taketoshi Iwata	343	253	242	149	133	46	750
Cristina Bacci	255 0.7×	147 0.6×	148 0.6×	139 0.9×	91 0.7×	54	720
Christina A. Ahlstrom	304 0.9×	137 0.5×	278 1.1×	234 1.6×	225 1.7×	37	899
María Pardos de la Gándara	261 0.8×	238 0.9×	312 1.3×	142 1.0×	73 0.5×	32	655
Mario D’Incau	463 1.3×	177 0.7×	172 0.7×	124 0.8×	67 0.5×	42	882
Lin Teng	223 0.7×	196 0.8×	175 0.7×	179 1.2×	102 0.8×	33	628
Eglė Kudirkienė	350 1.0×	201 0.8×	156 0.6×	158 1.1×	52 0.4×	47	759
Meiying Yan	431 1.3×	326 1.3×	239 1.0×	204 1.4×	46 0.3×	60	879
Stefan Hörmansdorfer	135 0.4×	301 1.2×	163 0.7×	167 1.1×	109 0.8×	44	890
Sandra Van Puyvelde	286 0.8×	228 0.9×	191 0.8×	245 1.6×	41 0.3×	25	757
Friederike Hilbert	521 1.5×	144 0.6×	113 0.5×	199 1.3×	97 0.7×	42	903

Countries citing papers authored by Taketoshi Iwata

Since Specialization

Citations

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

Fields of papers citing papers by Taketoshi Iwata

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Taketoshi Iwata

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