Stephen S. Fong

7.1k citations
74 papers · 4.2k indexed · 1 hit paper · h-index 30
Topics
Microbial Metabolic Engineering and Bioproduction (44 papers)Biofuel production and bioconversion (28 papers)Gene Regulatory Network Analysis (21 papers)

In The Last Decade

Stephen S. Fong

73 papers receiving 4.1k citations

Hit Papers

Metabolic Burden: Cornerstones in Synthetic Biology and M...20162026201920222016100200300400

Peers

Stephen S. Fong
Comparison fields: 5 of 155
  • Molecular Biology 3.3k
  • Biomedical Engineering 1.2k
  • Genetics 524
  • Immunology 288
  • Hematology 252
Replace Eleftherios T. Papoutsakis with:
Eleftherios T. Papoutsakis United States
Martin Vanderlaan United States
Tove Christensen Denmark
Bernard Haye France
Wei‐Shou Hu United States
David Sternberg United States
Takuya Sato Japan
Philippe Duchâteau France
Bo Ek Sweden
Nobuhiro Ishida Japan
Stephen S. Fong relative to Eleftherios T. Papoutsakis United States Eleftherios T. Papoutsakis's profile →
Citations per field
00.5×3.5×
Eleftherios T. Papoutsakis · 1×
Citations per year

Countries citing papers authored by Stephen S. Fong

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Stephen S. Fong

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen S. Fong. A scholar is included among the top collaborators of Stephen S. Fong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephen S. Fong. Stephen S. Fong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 7
3 3
4 12
5 29
6 2
7 8
8 65
9 89
10 18
11 6
12 42
13 5
14 24
15 7
16 51
17 212
18 142
19 268
20 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) and Gene Regulatory Network Analysis (21 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.

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