Teppei Arai

432 citations
23 papers · 326 · h-index 11

Impact in

Papers in

    • Antifungal resistance and susceptibility 15
    • Microbial Natural Products and Biosynthesis 6
    • Fungal Biology and Applications 5

Teppei Arai

22 papers receiving 324 citations

Peers

Teppei Arai
Comparison fields: 5 of 40
  • Infectious Diseases 218
  • Biotechnology 58
  • Pharmacology 93
  • Small Animals 31
  • Epidemiology 109
Replace Ming‐Jo Hsu with:
Ming‐Jo Hsu United States
Clara Baldin Austria
Paolo Campoli Canada
Adela Martín‐Vicente Spain
Sophia Ushinsky Canada
Rosa Maria Tavares Haido Brazil
Ching-Wan Lam Hong Kong
Masayuki Ichinomiya Japan
Nadthanan Pinchai United States
Vinícius Leite Pedro Bom Brazil
Teppei Arai relative to Ming‐Jo Hsu United States Ming‐Jo Hsu's profile →
Citations per field
00.5×10×13.3×
Ming‐Jo Hsu · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Teppei Arai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Teppei Arai Line = papers co-authored together Teppei Arai links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201880
2 202034
3 202032
4 201924
5 201324
6 201517
7 201217
8 202115
9 202011
10 202111
11 202111
12 202410
13 20169
14 20217
15 20226
16 20246
17 20243
18 20233
19 20143
20 20241

About Teppei Arai

Teppei Arai is a scholar working on Infectious Diseases, Pharmacology, Epidemiology, Biotechnology and Small Animals, having authored 23 papers that have together received 326 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (15 papers), Fungal Infections and Studies (7 papers), Microbial Natural Products and Biosynthesis (6 papers), Fungal Biology and Applications (5 papers), Microbial Metabolism and Applications (5 papers), Infectious Diseases and Mycology (3 papers), Fungal and yeast genetics research (2 papers) and Cystic Fibrosis Research Advances (2 papers). The work is most often cited by research in Infectious Diseases (218 citations), Biotechnology (58 citations), Pharmacology (93 citations), Small Animals (31 citations) and Epidemiology (109 citations). Teppei Arai has collaborated with scholars based in Japan, Brazil and Egypt. Frequent co-authors include Akira Watanabe, Katsuhiko Kamei, Yoko Kusuya, Daisuke Hagiwara, Hiroki Takahashi, Takafumi Kasumi, Jun Ogihara, Jun Kato, Hazim O. Khalifa and Maria Luíza Moretti. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Medical Mycology, Journal of Fungi, Communications Biology and Mycoses.

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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