Ee-Been Goh
Impact in
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 10%
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 9
- Enzyme Catalysis and Immobilization 6
- CRISPR and Genetic Engineering 2
- RNA and protein synthesis mechanisms 1
- Genetics 4
- Bacterial Genetics and Biotechnology 3
- Co-authors
- Harry R. Beller (9 shared papers)Jay D. Keasling (8 shared papers)Jo‐Ann McClure (1 shared paper)Julian Davies (1 shared paper)Michael G. Surette (1 shared paper)Grace Yim (1 shared paper)Edward E. K. Baidoo (3 shared papers)Michele M. Igo (3 shared papers)
- Journals
- Journal of Bacteriology (3 papers)Applied and Environmental Microbiology (3 papers)Metabolic Engineering (2 papers)Biotechnology and Bioengineering (1 paper)ChemSusChem (1 paper)
- Partner nations
- United StatesChinaDenmark
In The Last Decade
Ee-Been Goh
14 papers receiving 971 citations
Peers
Comparison fields: 5 of 101
- Molecular Medicine 123
- Endocrinology 63
- Pollution 106
- Molecular Biology 605
- Genetics 180
Countries citing papers authored by Ee-Been Goh
This map shows the geographic impact of Ee-Been Goh'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 Ee-Been Goh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ee-Been Goh more than expected).
Fields of papers citing papers by Ee-Been Goh
This network shows the impact of papers produced by Ee-Been Goh. 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 Ee-Been Goh. The network helps show where Ee-Been Goh may publish in the future.
Co-authors
The 25 scholars most cited alongside Ee-Been Goh, 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 | 2002 | 429 | |
| 2 | 2011 | 117 | |
| 3 | 2009 | 107 | |
| 4 | 2005 | 53 | |
| 5 | 2019 | 47 | |
| 6 | 2014 | 47 | |
| 7 | 2013 | 42 | |
| 8 | 2007 | 38 | |
| 9 | 2018 | 32 | |
| 10 | 2004 | 29 | |
| 11 | 2019 | 15 | |
| 12 | 2018 | 15 | |
| 13 | 2012 | 12 | |
| 14 | 2019 | 6 |
About Ee-Been Goh
Ee-Been Goh is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Biomedical Engineering and Ecology, having authored 14 papers that have together received 989 indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (9 papers), Enzyme Catalysis and Immobilization (6 papers), Enzyme Structure and Function (4 papers), Biofuel production and bioconversion (3 papers), Bacterial Genetics and Biotechnology (3 papers), CRISPR and Genetic Engineering (2 papers), Enzyme Production and Characterization (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Molecular Medicine (123 citations), Endocrinology (63 citations), Pollution (106 citations), Molecular Biology (605 citations) and Genetics (180 citations). Ee-Been Goh has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Harry R. Beller, Jay D. Keasling, Jo‐Ann McClure, Julian Davies, Michael G. Surette, Grace Yim, Edward E. K. Baidoo, Michele M. Igo, Taek Soon Lee and Xi Wang. Their work appears in journals such as Journal of Bacteriology, Applied and Environmental Microbiology, Metabolic Engineering, Biotechnology and Bioengineering and ChemSusChem.
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.