Stephen S. Fong
- Molecular Biology top 2%
- Microbial Metabolic Engineering and Bioproduction 44
- Gene Regulatory Network Analysis 21
- Enzyme Catalysis and Immobilization 7
- Bioinformatics and Genomic Networks 7
- Viral Infectious Diseases and Gene Expression in Insects 5
- Biotechnology top 2%
- Enzyme Production and Characterization 6
- Biomedical Engineering top 2%
- Biofuel production and bioconversion 28
- Hematology top 5%
- Genetics top 5%
- Evolution and Genetic Dynamics 6
- Co-authors
- Bernhard Ø. PalssonQiang YanAndrew R. JoyceMattheos KoffasYinjie TangCorey LargmanYu DengGang Wu
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nucleic Acids Research (1 paper)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesCanadaLebanon
In The Last Decade
Stephen S. Fong
73 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Molecular Biology 3.3k
- Biotechnology 247
- Biomedical Engineering 1.2k
- Hematology 252
- Genetics 524
Countries citing papers authored by Stephen S. Fong
This map shows the geographic impact of Stephen S. Fong'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 Stephen S. Fong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen S. Fong more than expected).
Fields of papers citing papers by Stephen S. Fong
This network shows the impact of papers produced by Stephen S. Fong. 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 Stephen S. Fong. The network helps show where Stephen S. Fong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stephen S. Fong, 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 | 2023 | 0 | |
| 2 | 2020 | 7 | |
| 3 | 2019 | 3 | |
| 4 | 2017 | 12 | |
| 5 | 2016 | 29 | |
| 6 | 2015 | 2 | |
| 7 | 2014 | 8 | |
| 8 | 2011 | 65 | |
| 9 | 2010 | 89 | |
| 10 | 2010 | 18 | |
| 11 | 2010 | 6 | |
| 12 | 2010 | 42 | |
| 13 | 2010 | 5 | |
| 14 | 2009 | 24 | |
| 15 | 2009 | 7 | |
| 16 | 2006 | 51 | |
| 17 | 2005 | 212 | |
| 18 | 2005 | 142 | |
| 19 | 2005 | 268 | |
| 20 | 2002 | 17 |
About Stephen S. Fong
Stephen S. Fong is a scholar working on Molecular Biology, Biotechnology and Biomedical Engineering, having authored 74 papers that have together received 4.2k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (44 papers), Biofuel production and bioconversion (28 papers), Gene Regulatory Network Analysis (21 papers), Enzyme Catalysis and Immobilization (7 papers), Bioinformatics and Genomic Networks (7 papers), Evolution and Genetic Dynamics (6 papers), Enzyme Production and Characterization (6 papers) and Viral Infectious Diseases and Gene Expression in Insects (5 papers). The work is most often cited by research in Molecular Biology (3.3k citations), Biotechnology (247 citations) and Biomedical Engineering (1.2k citations). Stephen S. Fong has collaborated with scholars based in United States, Canada and Lebanon. Frequent co-authors include Bernhard Ø. Palsson, Qiang Yan, Andrew R. Joyce, Mattheos Koffas, Yinjie Tang, Corey Largman, Yu Deng, Gang Wu, J. Andrew Jones and Christopher M. Gowen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of 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.