Toshihiko Serikawa

16 total papers · 411 total citations
12 papers, 325 citations indexed

About

Toshihiko Serikawa is a scholar working on Infectious Diseases, Neurology and Molecular Biology. According to data from OpenAlex, Toshihiko Serikawa has authored 12 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 6 papers in Neurology and 3 papers in Molecular Biology. Recurrent topics in Toshihiko Serikawa's work include Clostridium difficile and Clostridium perfringens research (6 papers), Botulinum Toxin and Related Neurological Disorders (6 papers) and Gut microbiota and health (3 papers). Toshihiko Serikawa is often cited by papers focused on Clostridium difficile and Clostridium perfringens research (6 papers), Botulinum Toxin and Related Neurological Disorders (6 papers) and Gut microbiota and health (3 papers). Toshihiko Serikawa collaborates with scholars based in Japan. Toshihiko Serikawa's co-authors include Shoki Nishida, Shinichi Nakamura, Kiyotaka Yamakawa, Satoshi Nakashio, Seiichi Okumura, Takayoshi Yamagishi, Genji Sakaguchi, Shunji Kozaki, Tadahiro Karasawa and Masakado Matsumoto and has published in prestigious journals such as Microbiology and Immunology, Japanese Journal of Infectious Diseases and Kansenshogaku zasshi.

In The Last Decade

Toshihiko Serikawa

12 papers receiving 298 citations

Author Peers

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

Author						Papers	Cites
Toshihiko Serikawa	263	96	96	49	36	12	325
Mandeep Kaur	225 0.9×	39 0.4×	122 1.3×	25 0.5×	28 0.8×	19	353
Sarah Larcombe	179 0.7×	114 1.2×	51 0.5×	19 0.4×	35 1.0×	11	266
Anne Cady	75 0.3×	101 1.1×	49 0.5×	29 0.6×	20 0.6×	12	295
Ernest Atlas	96 0.4×	71 0.7×	63 0.7×	7 0.1×	16 0.4×	11	358
Pablo Castro-Córdova	252 1.0×	102 1.1×	80 0.8×	6 0.1×	12 0.3×	12	303
P. A. Mackowiak	112 0.4×	45 0.5×	83 0.9×	11 0.2×	11 0.3×	10	335
Sílvia Capilla	154 0.6×	87 0.9×	36 0.4×	16 0.3×	12 0.3×	18	328
Émilie Camiade	204 0.8×	143 1.5×	65 0.7×	7 0.1×	20 0.6×	15	362
Laura Labate	179 0.7×	58 0.6×	110 1.1×	29 0.6×	3 0.1×	22	300
Svetlana Paikin	72 0.3×	57 0.6×	58 0.6×	6 0.1×	17 0.5×	17	289

Countries citing papers authored by Toshihiko Serikawa

Since Specialization

Citations

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

Fields of papers citing papers by Toshihiko Serikawa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshihiko Serikawa

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