Masao Kishida

937 citations
57 papers · 738 · h-index 17

Impact in

Papers in

    • Fungal and yeast genetics research 18
    • Microbial Metabolic Engineering and Bioproduction 5
    • Polysaccharides and Plant Cell Walls 9

Masao Kishida

55 papers receiving 720 citations

Peers

Masao Kishida
Comparison fields: 5 of 89
  • Health, Toxicology and Mutagenesis 166
  • Biotechnology 58
  • Molecular Biology 410
  • Pollution 68
  • Cell Biology 87
Replace Pairoh Pinphanichakarn with:
Pairoh Pinphanichakarn Thailand
Yi‐Hsien Lin Taiwan
Julie F. Senecoff United States
Jürgen Ruff Germany
Clara Navarrete Denmark
Damian Mielecki Poland
Yidan Li China
Rafael Montalvo‐Rodríguez Puerto Rico
Ulrich Klinner Germany
Masao Kishida relative to Pairoh Pinphanichakarn Thailand Pairoh Pinphanichakarn's profile →
Citations per field
00.5×
Pairoh Pinphanichakarn · 1×
Citations per year

Countries citing papers authored by Masao Kishida

Since Specialization
Citations

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

Fields of papers citing papers by Masao Kishida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198565
2 199653
3 198749
4 200941
5 200835
6 198633
7 199432
8 200030
9 200725
10 201322
11 199322
12 199719
13 199819
14 201418
15 200418
16 201117
17 199617
18 200915
19 201814
20 199914

About Masao Kishida

Masao Kishida is a scholar working on Molecular Biology, Plant Science, Health, Toxicology and Mutagenesis, Biomedical Engineering and Food Science, having authored 57 papers that have together received 738 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (18 papers), Toxic Organic Pollutants Impact (10 papers), Biofuel production and bioconversion (10 papers), Polysaccharides and Plant Cell Walls (9 papers), Enzyme Production and Characterization (6 papers), Atmospheric chemistry and aerosols (5 papers), Air Quality and Health Impacts (5 papers) and Microbial Metabolic Engineering and Bioproduction (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (166 citations), Biotechnology (58 citations), Molecular Biology (410 citations), Pollution (68 citations) and Cell Biology (87 citations). Masao Kishida has collaborated with scholars based in Japan, Vietnam and Thailand. Frequent co-authors include Chikashi Shimoda, Takuo Sakai, Yasuaki Maeda, Hiroshi Bandow, Pham Hung Viet, Haruhiko Kawasaki, Norimichi Takenaka, Aiko Hirata, Fumio Hishinuma and Masao Tokunaga. Their work appears in journals such as Bioscience Biotechnology and Biochemistry, Bulletin of Environmental Contamination and Toxicology, Current Genetics, Microbiology and Pediatric Allergy and Immunology.

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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