Toshiya Iida

1.7k citations
47 papers · 1.2k · h-index 21

Impact in

  • Pollution top 2%
    • Microbial bioremediation and biosurfactants
    • Insect symbiosis and bacterial influences

Papers in

    • Microbial Metabolic Engineering and Bioproduction 14
    • Genomics and Phylogenetic Studies 11
    • Fungal and yeast genetics research 4
    • Insect and Arachnid Ecology and Behavior 7

Toshiya Iida

47 papers receiving 1.2k citations

Peers

Toshiya Iida
Comparison fields: 5 of 93
  • Pollution 351
  • Insect Science 201
  • Genetics 359
  • Ecology, Evolution, Behavior and Systematics 254
  • Health, Toxicology and Mutagenesis 119
Replace Habib Ali with:
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Citations per field
00.5×2.8×
Habib Ali · 1×
Citations per year

Countries citing papers authored by Toshiya Iida

Since Specialization
Citations

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

Fields of papers citing papers by Toshiya Iida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Toshiya Iida, 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 Toshiya Iida Line = papers co-authored together Toshiya Iida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994123
2 200092
3 201583
4 200081
5 200576
6 200061
7 199857
8 200555
9 200253
10 199947
11 199845
12 200239
13 200738
14 200135
15 200232
16 199927
17 201626
18 200926
19 199925
20 201524

About Toshiya Iida

Toshiya Iida is a scholar working on Molecular Biology, Genetics, Plant Science, Pollution and Ecology, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (14 papers), Genomics and Phylogenetic Studies (11 papers), Microbial bioremediation and biosurfactants (8 papers), Insect and Arachnid Ecology and Behavior (7 papers), Microbial Community Ecology and Physiology (6 papers), Plant-Microbe Interactions and Immunity (5 papers), Plant and animal studies (5 papers) and Fungal and yeast genetics research (4 papers). The work is most often cited by research in Pollution (351 citations), Insect Science (201 citations), Genetics (359 citations), Ecology, Evolution, Behavior and Systematics (254 citations) and Health, Toxicology and Mutagenesis (119 citations). Toshiya Iida has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Toshiaki Kudo, Moriya Ohkuma, Masamichi Takagi, Akinori Ohta, Kuniyo Ohtoko, Kaoru Nakamura, Satoko Noda, Noboru Takizawa, Hiroshi Hayashi and H Kiyohara. Their work appears in journals such as Biochemical and Biophysical Research Communications, Bioscience Biotechnology and Biochemistry, Applied and Environmental Microbiology, Journal of Bacteriology and Yeast.

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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