Gene‐Wei Li
- Biophysics top 0.2%
- Molecular Biology top 0.5%
- RNA and protein synthesis mechanisms 29
- Genomics and Phylogenetic Studies 12
- RNA modifications and cancer 6
- CRISPR and Genetic Engineering 5
- Gene Regulatory Network Analysis 5
- Protein Structure and Dynamics 4
- Aging top 1%
- Genetics top 0.5%
- Bacterial Genetics and Biotechnology 24
- Structural Biology top 2%
-
- Bacteriophages and microbial interactions 10
- Co-authors
- Jonathan S. WeissmanX. Sunney XieJohan ElfXiao XieCarol A. GrossDavid H. BurkhardtPaul ChoiHuiyi Chen
- Cited by
- BiophysicsMolecular BiologyAging
- Journals
- Cell (5 papers)Proceedings of the National Academy of Sciences (4 papers)Cell Systems (3 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Gene‐Wei Li
41 papers receiving 7.8k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Biophysics 718
- Molecular Biology 6.9k
- Aging 170
- Genetics 2.3k
- Structural Biology 105
Countries citing papers authored by Gene‐Wei Li
This map shows the geographic impact of Gene‐Wei Li'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 Gene‐Wei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gene‐Wei Li more than expected).
Fields of papers citing papers by Gene‐Wei Li
This network shows the impact of papers produced by Gene‐Wei Li. 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 Gene‐Wei Li. The network helps show where Gene‐Wei Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gene‐Wei Li, 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 | 2025 | 1 | |
| 2 | 2022 | 17 | |
| 3 | 2021 | 79 | |
| 4 | 2021 | 4 | |
| 5 | 2020 | 26 | |
| 6 | 2020 | 111 | |
| 7 | 2020 | 62 | |
| 8 | 2018 | 6 | |
| 9 | 2018 | 67 | |
| 10 | 2018 | 4 | |
| 11 | 2017 | 110 | |
| 12 | 2014 | 43 | |
| 13 | Quantifying Absolute Protein Synthesis Rates Reveals Principles Underlying Allocation of Cellular Resourcesbreakdown → | 2014 | 929 |
| 14 | Dynamic Imaging of Genomic Loci in Living Human Cells by an Optimized CRISPR/Cas Systembreakdown → | 2013 | 1422 |
| 15 | 2012 | 485 | |
| 16 | 2012 | 476 | |
| 17 | 2012 | 7 | |
| 18 | 2011 | 312 | |
| 19 | Quantifying E. coli Proteome and Transcriptome with Single-Molecule Sensitivity in Single Cellsbreakdown → | 2010 | 1505 |
| 20 | 2009 | 20 |
About Gene‐Wei Li
Gene‐Wei Li is a scholar working on Genetics, Biophysics, Molecular Biology, Ecology and Spectroscopy, having authored 42 papers that have together received 7.9k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (29 papers), Bacterial Genetics and Biotechnology (24 papers), Genomics and Phylogenetic Studies (12 papers), Bacteriophages and microbial interactions (10 papers), RNA modifications and cancer (6 papers), CRISPR and Genetic Engineering (5 papers), Gene Regulatory Network Analysis (5 papers) and Protein Structure and Dynamics (4 papers). The work is most often cited by research in Biophysics (718 citations), Molecular Biology (6.9k citations), Aging (170 citations), Genetics (2.3k citations) and Structural Biology (105 citations). Gene‐Wei Li has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Jonathan S. Weissman, X. Sunney Xie, Johan Elf, Xiao Xie, Carol A. Gross, David H. Burkhardt, Paul Choi, Huiyi Chen, Mohan Babu and Andrew Emili. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences, Cell Systems, Nature and Science.
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.