Robert Tjian
Impact in
- Molecular Biology top 0.01%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- RNA Interference and Gene Delivery
- Aging top 0.1%
Papers in
- Aging 9
-
- Genomics and Chromatin Dynamics 163
- RNA Research and Splicing 113
- RNA and protein synthesis mechanisms 55
- CRISPR and Genetic Engineering 54
- RNA modifications and cancer 36
- Co-authors
- Pamela J. MitchellJames T. KadonagaWilliam S. DynanKatherine A. JonesArie AdmonAlbert J. CoureyXavier DarzacqStephen P. Jackson
- Journals
- Cell (54 papers)Genes & Development (46 papers)Proceedings of the National Academy of Sciences (37 papers)Science (30 papers)Nature (25 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Robert Tjian
337 papers receiving 67.3k citations
Hit Papers
Peers
Comparison fields: 5 of 186
- Molecular Biology 56.0k
- Aging 1.0k
- Genetics 13.9k
- Immunology 6.8k
- Virology 1.5k
Countries citing papers authored by Robert Tjian
This map shows the geographic impact of Robert Tjian'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 Robert Tjian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Tjian more than expected).
Fields of papers citing papers by Robert Tjian
This network shows the impact of papers produced by Robert Tjian. 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 Robert Tjian. The network helps show where Robert Tjian may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert Tjian, 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 | 2025 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2022 | 23 | |
| 5 | 2021 | 23 | |
| 6 | 2021 | 35 | |
| 7 | 2019 | 20 | |
| 8 | Imaging dynamic and selective low-complexity domain interactions that control gene transcription Hit paper breakdown → | 2018 | 673 |
| 9 | 2017 | 1 | |
| 10 | 2015 | 39 | |
| 11 | 2014 | 343 | |
| 12 | 2011 | 28 | |
| 13 | 2009 | 56 | |
| 14 | 2003 | 191 | |
| 15 | 1998 | 48 | |
| 16 | 1996 | 146 | |
| 17 | 1992 | 33 | |
| 18 | 1992 | 128 | |
| 19 | 1986 | 58 | |
| 20 | 1985 | 76 |
About Robert Tjian
Robert Tjian is a scholar working on Aging, Molecular Biology, Structural Biology, Biophysics and Genetics, having authored 337 papers that have together received 69.6k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (163 papers), RNA Research and Splicing (113 papers), RNA and protein synthesis mechanisms (55 papers), CRISPR and Genetic Engineering (54 papers), RNA modifications and cancer (36 papers), Virus-based gene therapy research (26 papers), Polyomavirus and related diseases (25 papers) and Bacteriophages and microbial interactions (21 papers). The work is most often cited by research in Molecular Biology (56.0k citations), Aging (1.0k citations), Genetics (13.9k citations), Immunology (6.8k citations) and Virology (1.5k citations). Robert Tjian has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Pamela J. Mitchell, James T. Kadonaga, William S. Dynan, Katherine A. Jones, Arie Admon, Albert J. Courey, Xavier Darzacq, Stephen P. Jackson, Michael Levine and Stephen P. Bell. Their work appears in journals such as Cell, Genes & Development, Proceedings of the National Academy of Sciences, Science and Nature.
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.