Laurence Yang
Impact in
- Molecular Biology top 5%
- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- Enzyme Catalysis and Immobilization
- Genomics and Phylogenetic Studies
- Molecular Medicine top 10%
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 29
- Gene Regulatory Network Analysis 13
- Bioinformatics and Genomic Networks 9
- Metabolomics and Mass Spectrometry Studies 8
- RNA and protein synthesis mechanisms 7
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- IoT and Edge/Fog Computing 5
- Co-authors
- Bernhard Ø. Palsson (30 shared papers)Colton J. Lloyd (9 shared papers)James T. Yurkovich (11 shared papers)Radhakrishnan Mahadevan (7 shared papers)W.R. Cluett (6 shared papers)Anand V. Sastry (10 shared papers)Zachary A. King (5 shared papers)Ye Gao (4 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (5 papers)PLoS Computational Biology (5 papers)BMC Bioinformatics (3 papers)Nature Communications (3 papers)Cell Reports (2 papers)
- Partner nations
- United StatesCanadaDenmark
In The Last Decade
Laurence Yang
64 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 150
- Molecular Biology 1.4k
- Molecular Medicine 55
- Genetics 290
- Computational Mathematics 6
- Biomedical Engineering 403
Countries citing papers authored by Laurence Yang
This map shows the geographic impact of Laurence Yang'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 Laurence Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurence Yang more than expected).
Fields of papers citing papers by Laurence Yang
This network shows the impact of papers produced by Laurence Yang. 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 Laurence Yang. The network helps show where Laurence Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Laurence Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 157 | |
| 2 | 2018 | 131 | |
| 3 | 1999 | 109 | |
| 4 | 2018 | 108 | |
| 5 | 2014 | 94 | |
| 6 | 2011 | 90 | |
| 7 | 2017 | 74 | |
| 8 | 2019 | 73 | |
| 9 | 2016 | 70 | |
| 10 | 2018 | 70 | |
| 11 | 2017 | 64 | |
| 12 | 2023 | 59 | |
| 13 | 2020 | 57 | |
| 14 | 2019 | 55 | |
| 15 | 2019 | 48 | |
| 16 | 2017 | 46 | |
| 17 | 2013 | 46 | |
| 18 | 2019 | 46 | |
| 19 | 2020 | 44 | |
| 20 | 2019 | 42 |
About Laurence Yang
Laurence Yang is a scholar working on Molecular Biology, Computer Networks and Communications, Biomedical Engineering, Genetics and Computer Vision and Pattern Recognition, having authored 67 papers that have together received 1.9k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (29 papers), Gene Regulatory Network Analysis (13 papers), Bioinformatics and Genomic Networks (9 papers), Biofuel production and bioconversion (9 papers), Metabolomics and Mass Spectrometry Studies (8 papers), RNA and protein synthesis mechanisms (7 papers), Bacterial Genetics and Biotechnology (6 papers) and IoT and Edge/Fog Computing (5 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Molecular Medicine (55 citations), Genetics (290 citations), Computational Mathematics (6 citations) and Biomedical Engineering (403 citations). Laurence Yang has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Bernhard Ø. Palsson, Colton J. Lloyd, James T. Yurkovich, Radhakrishnan Mahadevan, W.R. Cluett, Anand V. Sastry, Zachary A. King, Ye Gao, Jonathan M. Monk and Ali Ebrahim. Their work appears in journals such as Proceedings of the National Academy of Sciences, PLoS Computational Biology, BMC Bioinformatics, Nature Communications and Cell Reports.
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.