Albert Tsai
Impact in
- Structural Biology top 5%
- Biophysics top 2%
- Advanced Fluorescence Microscopy Techniques
Papers in
-
- RNA and protein synthesis mechanisms 16
- RNA modifications and cancer 11
- Genomics and Chromatin Dynamics 8
- RNA Research and Splicing 6
- Epigenetics and DNA Methylation 3
- CRISPR and Genetic Engineering 2
- Genetics 8
- Bacterial Genetics and Biotechnology 7
- Co-authors
- Joseph D. Puglisi (16 shared papers)Alexey Petrov (9 shared papers)Jin Chen (9 shared papers)Seán E. O’Leary (6 shared papers)Justin Crocker (8 shared papers)Magnus Johansson (4 shared papers)Mariana R. P. Alves (2 shared papers)Sotaro Uemura (4 shared papers)
- Journals
- Cell Reports (5 papers)Proceedings of the National Academy of Sciences (4 papers)Nature (3 papers)Development (2 papers)eLife (2 papers)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Albert Tsai
25 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 82
- Structural Biology 35
- Biophysics 116
- Molecular Biology 1.2k
- Genetics 241
- Molecular Medicine 22
Countries citing papers authored by Albert Tsai
This map shows the geographic impact of Albert Tsai'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 Albert Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert Tsai more than expected).
Fields of papers citing papers by Albert Tsai
This network shows the impact of papers produced by Albert Tsai. 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 Albert Tsai. The network helps show where Albert Tsai may publish in the future.
Co-authors
The 25 scholars most cited alongside Albert Tsai, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 126 | |
| 2 | 2014 | 124 | |
| 3 | 2013 | 113 | |
| 4 | 2013 | 108 | |
| 5 | 2017 | 101 | |
| 6 | 2012 | 72 | |
| 7 | 2013 | 72 | |
| 8 | 2019 | 61 | |
| 9 | 2020 | 58 | |
| 10 | 2016 | 54 | |
| 11 | 2012 | 51 | |
| 12 | 2013 | 47 | |
| 13 | 2011 | 46 | |
| 14 | 2014 | 41 | |
| 15 | 2014 | 40 | |
| 16 | 2012 | 38 | |
| 17 | 2012 | 31 | |
| 18 | 2014 | 30 | |
| 19 | 2017 | 22 | |
| 20 | 2015 | 18 |
About Albert Tsai
Albert Tsai is a scholar working on Molecular Biology, Genetics, Ecology, Biophysics and Plant Science, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (16 papers), RNA modifications and cancer (11 papers), Genomics and Chromatin Dynamics (8 papers), Bacterial Genetics and Biotechnology (7 papers), RNA Research and Splicing (6 papers), Bacteriophages and microbial interactions (5 papers), Epigenetics and DNA Methylation (3 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Structural Biology (35 citations), Biophysics (116 citations), Molecular Biology (1.2k citations), Genetics (241 citations) and Molecular Medicine (22 citations). Albert Tsai has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Joseph D. Puglisi, Alexey Petrov, Jin Chen, Seán E. O’Leary, Justin Crocker, Magnus Johansson, Mariana R. P. Alves, Sotaro Uemura, Luke D. Lavis and Robert H. Singer. Their work appears in journals such as Cell Reports, Proceedings of the National Academy of Sciences, Nature, Development and eLife.
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.