Japheth E. Gado
Impact in
- Pollution top 5%
- Microplastics and Plastic Pollution
- Biomaterials top 5%
- biodegradable polymer synthesis and properties
Papers in
-
- Machine Learning in Bioinformatics 2
-
- Biofuel production and bioconversion 3
- Co-authors
- Gregg T. Beckham (7 shared papers)Christina M. Payne (5 shared papers)Erika Erickson (3 shared papers)Christopher W. Johnson (2 shared papers)Brandon C. Knott (2 shared papers)J.E. McGeehan (3 shared papers)Fiona L. Kearns (1 shared paper)Isabel Pardo (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)PLoS Computational Biology (1 paper)Journal of Biological Chemistry (1 paper)Nature Communications (1 paper)Nature Machine Intelligence (1 paper)
- Partner nations
- United StatesSwedenUnited Kingdom
In The Last Decade
Japheth E. Gado
7 papers receiving 528 citations
Japheth E. Gado's Hit Papers
Peers
Comparison fields: 5 of 78
- Pollution 322
- Biomaterials 271
- Industrial and Manufacturing Engineering 158
- Biotechnology 53
- Biomedical Engineering 124
Countries citing papers authored by Japheth E. Gado
This map shows the geographic impact of Japheth E. Gado'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 Japheth E. Gado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Japheth E. Gado more than expected).
Fields of papers citing papers by Japheth E. Gado
This network shows the impact of papers produced by Japheth E. Gado. 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 Japheth E. Gado. The network helps show where Japheth E. Gado may publish in the future.
Co-authors
The 25 scholars most cited alongside Japheth E. Gado, 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 | Characterization and engineering of a two-enzyme system for plastics depolymerization Hit paper breakdown → | 2020 | 365 |
| 2 | 2019 | 52 | |
| 3 | 2024 | 50 | |
| 4 | 2020 | 37 | |
| 5 | 2021 | 19 | |
| 6 | 2025 | 10 | |
| 7 | 2022 | 4 | |
| 8 | 2025 | 0 | |
| 9 | 2025 | 0 |
About Japheth E. Gado
Japheth E. Gado is a scholar working on Molecular Biology, Biomedical Engineering, Pollution, Biomaterials and Biotechnology, having authored 9 papers that have together received 537 indexed citations. Recurring topics across this work include Microplastics and Plastic Pollution (3 papers), Biofuel production and bioconversion (3 papers), biodegradable polymer synthesis and properties (3 papers), Machine Learning in Bioinformatics (2 papers), Computational Drug Discovery Methods (2 papers), Enzyme Production and Characterization (2 papers), Recycling and Waste Management Techniques (1 paper) and Evolutionary Algorithms and Applications (1 paper). The work is most often cited by research in Pollution (322 citations), Biomaterials (271 citations), Industrial and Manufacturing Engineering (158 citations), Biotechnology (53 citations) and Biomedical Engineering (124 citations). Japheth E. Gado has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Gregg T. Beckham, Christina M. Payne, Erika Erickson, Christopher W. Johnson, Brandon C. Knott, J.E. McGeehan, Fiona L. Kearns, Isabel Pardo, Harry P. Austin and Valérie Copié. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS Computational Biology, Journal of Biological Chemistry, Nature Communications and Nature Machine Intelligence.
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.