Tadayuki Ahiko

59 total papers · 1.0k total citations
40 papers, 747 citations indexed

About

Tadayuki Ahiko is a scholar working on Epidemiology, Infectious Diseases and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Tadayuki Ahiko has authored 40 papers receiving a total of 747 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Epidemiology, 25 papers in Infectious Diseases and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Tadayuki Ahiko's work include Respiratory viral infections research (13 papers), Tuberculosis Research and Epidemiology (12 papers) and Mycobacterium research and diagnosis (10 papers). Tadayuki Ahiko is often cited by papers focused on Respiratory viral infections research (13 papers), Tuberculosis Research and Epidemiology (12 papers) and Mycobacterium research and diagnosis (10 papers). Tadayuki Ahiko collaborates with scholars based in Japan, United States and Singapore. Tadayuki Ahiko's co-authors include Katsumi Mizuta, Yoko Aoki, Tatsuya Ikeda, Yoko Matsuzaki, Tsutomu Itagaki, Chieko Abiko, Masahiro Noda, Hirokazu Kimura, Asuka Suto and Yuriko Katsushima and has published in prestigious journals such as PLoS ONE, Scientific Reports and Emerging infectious diseases.

In The Last Decade

Tadayuki Ahiko

39 papers receiving 727 citations

Author Peers

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

Author						Papers	Cites
Tadayuki Ahiko	460	399	316	68	61	40	747
Amy B. Dean	229 0.5×	239 0.6×	118 0.4×	26 0.4×	42 0.7×	27	768
K Lapinleimu	299 0.7×	239 0.6×	395 1.3×	39 0.6×	27 0.4×	33	654
Paul M. Oostvogel	349 0.8×	388 1.0×	248 0.8×	56 0.8×	14 0.2×	28	907
Sylvia E. Reed	362 0.8×	274 0.7×	90 0.3×	54 0.8×	121 2.0×	29	798
Ana Navascués	437 0.9×	497 1.2×	87 0.3×	34 0.5×	28 0.5×	67	903
Negar Aliabadi	516 1.1×	157 0.4×	258 0.8×	15 0.2×	70 1.1×	43	839
K Johansen	352 0.8×	392 1.0×	70 0.2×	19 0.3×	54 0.9×	37	849
Jin‐An Huang	294 0.6×	109 0.3×	157 0.5×	76 1.1×	167 2.7×	54	804
Katherine Yu	245 0.5×	453 1.1×	95 0.3×	308 4.5×	54 0.9×	31	806
Kathy Luinstra	282 0.6×	468 1.2×	57 0.2×	36 0.5×	22 0.4×	39	845

Countries citing papers authored by Tadayuki Ahiko

Since Specialization

Citations

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

Fields of papers citing papers by Tadayuki Ahiko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tadayuki Ahiko

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