Nicholas Tang
Impact in
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- RNA and protein synthesis mechanisms
- Advanced biosensing and bioanalysis techniques
- CRISPR and Genetic Engineering
- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
- Viral Infectious Diseases and Gene Expression in Insects
- DNA and Nucleic Acid Chemistry
Papers in
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- Gene Regulatory Network Analysis 2
- CRISPR and Genetic Engineering 2
- RNA and protein synthesis mechanisms 2
- Genomics and Phylogenetic Studies 1
- Protein purification and stability 1
- Microbial Metabolic Engineering and Bioproduction 1
- Ecology 1
- Bacteriophages and microbial interactions 1
- Co-authors
- Siying Ma (2 shared papers)Jingdong Tian (2 shared papers)Ashutosh Chilkoti (1 shared paper)Ishtiaq Saaem (1 shared paper)Kevin P. White (1 shared paper)Nicolas Nègre (1 shared paper)Hui Gong (1 shared paper)Jonathan C. Su (1 shared paper)
- Journals
- Current Opinion in Chemical Biology (1 paper)Nature Biotechnology (1 paper)Nature Communications (1 paper)Nature Materials (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Nicholas Tang
4 papers receiving 266 citations
Peers
Comparison fields: 5 of 46
- Molecular Biology 223
- Biomaterials 25
- Genetics 47
- Surfaces, Coatings and Films 10
- Biomedical Engineering 44
Countries citing papers authored by Nicholas Tang
This map shows the geographic impact of Nicholas Tang'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 Nicholas Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicholas Tang more than expected).
Fields of papers citing papers by Nicholas Tang
This network shows the impact of papers produced by Nicholas Tang. 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 Nicholas Tang. The network helps show where Nicholas Tang may publish in the future.
Co-authors
The 10 scholars most cited alongside Nicholas Tang, 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 | 2011 | 114 | |
| 2 | 2012 | 83 | |
| 3 | 2016 | 62 | |
| 4 | 2024 | 22 |
About Nicholas Tang
Nicholas Tang is a scholar working on Molecular Biology, Ecology, Oncology, Radiology, Nuclear Medicine and Imaging and Infectious Diseases, having authored 4 papers that have together received 281 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (2 papers), CRISPR and Genetic Engineering (2 papers), RNA and protein synthesis mechanisms (2 papers), Genomics and Phylogenetic Studies (1 paper), Protein purification and stability (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Molecular Biology (223 citations), Biomaterials (25 citations), Genetics (47 citations), Surfaces, Coatings and Films (10 citations) and Biomedical Engineering (44 citations). Nicholas Tang has collaborated with scholars based in United States and China. Frequent co-authors include Siying Ma, Jingdong Tian, Ashutosh Chilkoti, Ishtiaq Saaem, Kevin P. White, Nicolas Nègre, Hui Gong, Ashutosh Chilkoti, Jonathan C. Su and Sonal Deshpande. Their work appears in journals such as Current Opinion in Chemical Biology, Nature Biotechnology, Nature Communications and Nature Materials.
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.