Keiji Yano

1.8k citations
90 papers · 1.5k · h-index 22

Impact in

  • Pollution top 2%
    • Microbial bioremediation and biosurfactants
    • Microbial Metabolic Engineering and Bioproduction
    • Fungal and yeast genetics research
    • Microbial metabolism and enzyme function
    • Enzyme Catalysis and Immobilization

Papers in

    • Microbial Metabolic Engineering and Bioproduction 29
    • Fungal and yeast genetics research 15
    • Microbial metabolism and enzyme function 5
    • Microbial bioremediation and biosurfactants 16

Keiji Yano

89 papers receiving 1.4k citations

Peers

Keiji Yano
Comparison fields: 5 of 108
  • Pollution 461
  • Molecular Biology 912
  • Biotechnology 111
  • Inorganic Chemistry 165
  • Biochemistry 80
Replace M Rekik with:
M Rekik Switzerland
Marc Chippaux France
George D. Hegeman United States
D Touati France
Peter Fortnagel Germany
June Lascelles United States
Jaap Kingma Netherlands
Eric Eichhorn Switzerland
Ellen L. Neidle United States
Shuhei Zenno Japan
Keiji Yano relative to M Rekik Switzerland M Rekik's profile →
Citations per field
00.5×1.6×
M Rekik · 1×
Citations per year

Countries citing papers authored by Keiji Yano

Since Specialization
Citations

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

Fields of papers citing papers by Keiji Yano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996173
2 198893
3 199790
4 197368
5 198960
6 199353
7 199148
8 199336
9 198035
10 198733
11 197033
12 198831
13 195831
14 196928
15 197327
16 198325
17 199025
18 199525
19 198524
20 198624

About Keiji Yano

Keiji Yano is a scholar working on Molecular Biology, Pollution, Plant Science, Food Science and Ecology, having authored 90 papers that have together received 1.5k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (29 papers), Microbial bioremediation and biosurfactants (16 papers), Fungal and yeast genetics research (15 papers), Antifungal resistance and susceptibility (6 papers), Microbial Community Ecology and Physiology (6 papers), Fermentation and Sensory Analysis (5 papers), Microbial metabolism and enzyme function (5 papers) and Biofuel production and bioconversion (5 papers). The work is most often cited by research in Pollution (461 citations), Molecular Biology (912 citations), Biotechnology (111 citations), Inorganic Chemistry (165 citations) and Biochemistry (80 citations). Keiji Yano has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Masamichi Takagi, Masao Fukuda, Κει Arima, Kazuhide Kimbara, Hikoyuki YAMAGUCHI, Hiroyuki Horiuchi, Yuji Nagata, Toshiya Senda, Yukio Mitsui and Takeshi Yamamoto. Their work appears in journals such as The Journal of General and Applied Microbiology, Biochemical and Biophysical Research Communications, The Journal of Biochemistry, Bioscience Biotechnology and Biochemistry and Current Genetics.

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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