Teppei Arai

35 total papers · 402 total citations
24 papers, 320 citations indexed

About

Teppei Arai is a scholar working on Infectious Diseases, Epidemiology and Pharmacology. According to data from OpenAlex, Teppei Arai has authored 24 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Infectious Diseases, 9 papers in Epidemiology and 8 papers in Pharmacology. Recurrent topics in Teppei Arai's work include Antifungal resistance and susceptibility (16 papers), Fungal Infections and Studies (8 papers) and Microbial Natural Products and Biosynthesis (7 papers). Teppei Arai is often cited by papers focused on Antifungal resistance and susceptibility (16 papers), Fungal Infections and Studies (8 papers) and Microbial Natural Products and Biosynthesis (7 papers). Teppei Arai collaborates with scholars based in Japan, Brazil and Egypt. Teppei Arai's co-authors include Akira Watanabe, Katsuhiko Kamei, Daisuke Hagiwara, Yoko Kusuya, Hiroki Takahashi, Takafumi Kasumi, Jun Ogihara, Jun Kato, Hazim O. Khalifa and Maria Luíza Moretti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Teppei Arai

22 papers receiving 318 citations

Author Peers

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

Author Last Decade Papers Cites
Teppei Arai 207 133 97 64 57 24 320
Shuguang Tian 140 0.7× 98 0.7× 35 0.4× 32 0.5× 57 1.0× 16 313
Xabier Guruceaga 109 0.5× 47 0.4× 70 0.7× 22 0.3× 75 1.3× 17 270
Idoia Buldain 146 0.7× 99 0.7× 35 0.4× 12 0.2× 49 0.9× 17 236
Anne Dietz 86 0.4× 85 0.6× 52 0.5× 18 0.3× 23 0.4× 18 324
H. Sandovsky‐Losica 182 0.9× 125 0.9× 27 0.3× 20 0.3× 19 0.3× 21 288
Margaret V. Powers‐Fletcher 169 0.8× 136 1.0× 23 0.2× 24 0.4× 74 1.3× 21 357
Rosa Maria Tavares Haido 142 0.7× 114 0.9× 20 0.2× 18 0.3× 85 1.5× 14 246
Ching-Wan Lam 94 0.5× 107 0.8× 66 0.7× 47 0.7× 85 1.5× 13 366
Ken T. K. Chong 157 0.8× 173 1.3× 48 0.5× 25 0.4× 122 2.1× 12 347
Fangyan Chen 164 0.8× 120 0.9× 33 0.3× 6 0.1× 54 0.9× 25 334

Countries citing papers authored by Teppei Arai

Since Specialization
Citations

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

Fields of papers citing papers by Teppei Arai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teppei Arai

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