Kaiguo Mo
Impact in
- Pollution top 5%
- Microbial bioremediation and biosurfactants
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- Water Treatment and Disinfection
- Toxic Organic Pollutants Impact
Papers in
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- Enzyme Production and Characterization 6
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- Microbial Metabolites in Food Biotechnology 4
- Co-authors
- Elizabeth Anne Edwards (3 shared papers)Melanie Duhamel (1 shared paper)Shinsaku Hayashida (6 shared papers)Kazuyoshi Ohta (2 shared papers)Carmen A. LeBron (1 shared paper)David W. Major (1 shared paper)Brent E. Sleep (1 shared paper)Michaye L. McMaster (1 shared paper)
- Journals
- Applied and Environmental Microbiology (4 papers)Methods in enzymology on CD-ROM/Methods in enzymology (2 papers)Environmental Science & Technology (1 paper)FEBS Journal (1 paper)Agricultural and Biological Chemistry (2 papers)
In The Last Decade
Kaiguo Mo
10 papers receiving 368 citations
Peers
Comparison fields: 5 of 51
- Pollution 251
- Health, Toxicology and Mutagenesis 118
- Pharmaceutical Science 47
- Environmental Engineering 109
- Biotechnology 45
Countries citing papers authored by Kaiguo Mo
This map shows the geographic impact of Kaiguo Mo'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 Kaiguo Mo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaiguo Mo more than expected).
Fields of papers citing papers by Kaiguo Mo
This network shows the impact of papers produced by Kaiguo Mo. 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 Kaiguo Mo. The network helps show where Kaiguo Mo may publish in the future.
Co-authors
The 18 scholars most cited alongside Kaiguo Mo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 193 | |
| 2 | 2006 | 93 | |
| 3 | 2011 | 30 | |
| 4 | 1986 | 29 | |
| 5 | 1988 | 18 | |
| 6 | 1988 | 10 | |
| 7 | 1988 | 9 | |
| 8 | 1988 | 5 | |
| 9 | 1988 | 4 | |
| 10 | 2015 | 1 |
About Kaiguo Mo
Kaiguo Mo is a scholar working on Biotechnology, Nutrition and Dietetics, Pollution, Biomedical Engineering and Pharmaceutical Science, having authored 10 papers that have together received 392 indexed citations. Recurring topics across this work include Enzyme Production and Characterization (6 papers), Biofuel production and bioconversion (6 papers), Microbial Metabolites in Food Biotechnology (4 papers), Microbial bioremediation and biosurfactants (3 papers), CRISPR and Genetic Engineering (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Chemical Reactions and Isotopes (1 paper) and Mass Spectrometry Techniques and Applications (1 paper). The work is most often cited by research in Pollution (251 citations), Health, Toxicology and Mutagenesis (118 citations), Pharmaceutical Science (47 citations), Environmental Engineering (109 citations) and Biotechnology (45 citations). Kaiguo Mo has collaborated with scholars based in Japan and Canada. Frequent co-authors include Elizabeth Anne Edwards, Melanie Duhamel, Shinsaku Hayashida, Kazuyoshi Ohta, Carmen A. LeBron, David W. Major, Brent E. Sleep, Michaye L. McMaster, Penny L. Morrill and Eric D. Hood. Their work appears in journals such as Applied and Environmental Microbiology, Methods in enzymology on CD-ROM/Methods in enzymology, Environmental Science & Technology, FEBS Journal and Agricultural and Biological Chemistry.
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.