Laurence Yang
- Molecular Biology top 5%
- Biomedical Engineering top 10%
- Genetics top 10%
- Surgery
- Artificial Intelligence top 10%
- Co-authors
- Bernhard Ø. PalssonColton J. LloydRadhakrishnan MahadevanJames T. YurkovichW.R. CluettAnand V. SastryZachary A. KingYe Gao
- Topics
- Microbial Metabolic Engineering and Bioproduction (31 papers)Gene Regulatory Network Analysis (14 papers)Biofuel production and bioconversion (11 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- United StatesCanadaDenmark
In The Last Decade
Laurence Yang
66 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 148
- Molecular Biology 1.4k
- Biomedical Engineering 436
- Genetics 297
- Surgery 128
- Artificial Intelligence 104
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-authorship network of co-authors of Laurence Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Laurence Yang. A scholar is included among the top collaborators of Laurence Yang 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 Laurence Yang. Laurence Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 55 | |
| 5 | 4 | |
| 6 | 13 | |
| 7 | 8 | |
| 8 | 72 | |
| 9 | 41 | |
| 10 | 68 | |
| 11 | 107 | |
| 12 | 129 | |
| 13 | Genome-scale estimation of cellular objectives. | 1 |
| 14 | 74 | |
| 15 | 45 | |
| 16 | 9 | |
| 17 | Handbook on Mobile and Ubiquitous Computing: Status and Perspective | 2 |
| 18 | 0 | |
| 19 | Autonomic and Trusted Computing : Third International Conference, ATC 2006, Wuhan, China, September 3-6, 2006 : proceedings | 1 |
| 20 | Fast Parallel Solution for Set-Packing and Clique Problems by DNA-Based Computing | 7 |
About Laurence Yang
Laurence Yang is a scholar working on Molecular Biology, Computer Networks and Communications and Genetics, having authored 68 papers that have together received 1.9k indexed citations. Recurring topics across this work include Microbial Metabolic Engineering and Bioproduction (31 papers), Gene Regulatory Network Analysis (14 papers) and Biofuel production and bioconversion (11 papers). The work is most often cited by research in Molecular Biology (1.4k citations), Molecular Medicine (57 citations) and Genetics (297 citations). Laurence Yang has collaborated with scholars based in United States, Canada and Denmark. Frequent co-authors include Bernhard Ø. Palsson, Colton J. Lloyd, Radhakrishnan Mahadevan, James T. Yurkovich, 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, 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.