Jiro Kohda

463 citations
27 papers · 359 · h-index 10

Impact in

Papers in

    • Heat shock proteins research 8
    • Protein Structure and Dynamics 4
    • Protein purification and stability 4
    • Microbial Metabolic Engineering and Bioproduction 4
    • Viral Infectious Diseases and Gene Expression in Insects 3
    • Biodiesel Production and Applications 5

Jiro Kohda

26 papers receiving 335 citations

Peers

Jiro Kohda
Comparison fields: 5 of 70
  • Industrial and Manufacturing Engineering 50
  • Soil Science 48
  • Biomedical Engineering 124
  • Biotechnology 24
  • Pollution 32
Replace Chunge Li with:
Chunge Li China
S. Sivasankari India
Yun Jiang China
M. N. Afnan Uda Malaysia
Ahmed I. Khalil Egypt
Rajib Biswas United States
Mohammad Ali Mobasher Iran
Xingye Yu China
Irfan Dwidya Prijambada Indonesia
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Citations per field
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Citations per year

Countries citing papers authored by Jiro Kohda

Since Specialization
Citations

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

Fields of papers citing papers by Jiro Kohda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005105
2 200039
3
Effects of C N ratio and pH of raw materials on oil degradation efficiency in a compost fermentation process.
200334
4 200033
5 200329
6 202210
7 200610
8 200610
9 20079
10 20209
11 20009
12 20097
13 20027
14 20196
15 19986
16 20005
17 20035
18 20165
19 20084
20 20034

About Jiro Kohda

Jiro Kohda is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Soil Science and Surgery, having authored 27 papers that have together received 359 indexed citations. Recurring topics across this work include Heat shock proteins research (8 papers), Enzyme Structure and Function (8 papers), Biodiesel Production and Applications (5 papers), Protein Structure and Dynamics (4 papers), Protein purification and stability (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Composting and Vermicomposting Techniques (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (50 citations), Soil Science (48 citations), Biomedical Engineering (124 citations), Biotechnology (24 citations) and Pollution (32 citations). Jiro Kohda has collaborated with scholars based in Japan and United States. Frequent co-authors include Yasuhisa Nakano, Ken‐ichiro Suehara, Takuo Yano, Akihiko Kondo, Hideki Fukuda, Kazuyo Nishihara, Takashi Yura, Yoichi Kurokawa, Yasunori Endo and Hideki Yanagi. Their work appears in journals such as Biochemical Engineering Journal, Biotechnology and Bioengineering, Journal of Material Cycles and Waste Management, Scientific Reports and Biotechnology Progress.

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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