Takayuki Iida

65 total papers · 2.4k total citations
42 papers, 1.8k citations indexed

About

Takayuki Iida is a scholar working on Genetics, Epidemiology and Immunology. According to data from OpenAlex, Takayuki Iida has authored 42 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 14 papers in Epidemiology and 10 papers in Immunology. Recurrent topics in Takayuki Iida's work include Inflammatory Bowel Disease (20 papers), Microscopic Colitis (11 papers) and Reproductive System and Pregnancy (6 papers). Takayuki Iida is often cited by papers focused on Inflammatory Bowel Disease (20 papers), Microscopic Colitis (11 papers) and Reproductive System and Pregnancy (6 papers). Takayuki Iida collaborates with scholars based in Japan, United States and South Sudan. Takayuki Iida's co-authors include Hiroyuki Hanai, Fumitoshi Watanabe, Ken Takeuchi, Yasuhiko Maruyama, Yasushi Iwaoka, Abby R. Saniabadi, Yoshihiko Sato, Ken Sugimoto, Masami Yamada and Hajime Arai and has published in prestigious journals such as Gastroenterology, Applied and Environmental Microbiology and Journal of Chromatography A.

In The Last Decade

Takayuki Iida

39 papers receiving 1.8k citations

Author Peers

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

Author Last Decade Papers Cites
Takayuki Iida 1.0k 617 405 333 263 42 1.8k
Fumitoshi Watanabe 838 0.8× 544 0.9× 324 0.8× 358 1.1× 180 0.7× 36 1.5k
Ken Takeuchi 1.2k 1.2× 749 1.2× 676 1.7× 351 1.1× 397 1.5× 61 2.2k
Alon Lang 286 0.3× 381 0.6× 153 0.4× 958 2.9× 240 0.9× 28 1.9k
Kazuma Takahashi 662 0.6× 188 0.3× 494 1.2× 484 1.5× 326 1.2× 59 1.9k
Vassilis Valatas 464 0.5× 334 0.5× 763 1.9× 371 1.1× 582 2.2× 50 2.2k
Hiroo Toyoda 622 0.6× 425 0.7× 566 1.4× 224 0.7× 855 3.3× 87 2.2k
Claire B. Larmonier 303 0.3× 143 0.2× 768 1.9× 213 0.6× 673 2.6× 36 1.9k
Yuji Ikeda 665 0.6× 280 0.5× 584 1.4× 458 1.4× 784 3.0× 83 2.2k
Weiming Zhu 995 1.0× 665 1.1× 218 0.5× 628 1.9× 631 2.4× 95 2.2k
Susan K. Paulson 281 0.3× 497 0.8× 125 0.3× 371 1.1× 170 0.6× 31 1.7k

Countries citing papers authored by Takayuki Iida

Since Specialization
Citations

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

Fields of papers citing papers by Takayuki Iida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takayuki Iida

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