Song Tan
Impact in
- Molecular Biology top 1%
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Ubiquitin and proteasome pathways
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- DNA Repair Mechanisms
- Cancer-related gene regulation
- Aging top 5%
Papers in
-
- Genomics and Chromatin Dynamics 46
- Epigenetics and DNA Methylation 16
- RNA Research and Splicing 13
- RNA and protein synthesis mechanisms 13
- Ubiquitin and proteasome pathways 11
- DNA Repair Mechanisms 10
- Cancer-related gene regulation 10
-
- Solar and Space Plasma Dynamics 11
- Co-authors
- Robert K. McGinty (6 shared papers)Timothy J. Richmond (7 shared papers)William Selleck (9 shared papers)Jacques Côté (6 shared papers)Yannick Doyon (2 shared papers)William S. Lane (1 shared paper)Luca Pellegrini (1 shared paper)Ravindra D. Makde (3 shared papers)
- Journals
- Molecular Cell (8 papers)Nature (5 papers)Protein Expression and Purification (5 papers)Journal of Molecular Biology (4 papers)The Astrophysical Journal (4 papers)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Song Tan
101 papers receiving 6.8k citations
Peers
Comparison fields: 5 of 142
- Molecular Biology 5.7k
- Aging 59
- Geriatrics and Gerontology 81
- Cell Biology 355
- Genetics 591
Countries citing papers authored by Song Tan
This map shows the geographic impact of Song Tan'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 Song Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Tan more than expected).
Fields of papers citing papers by Song Tan
This network shows the impact of papers produced by Song Tan. 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 Song Tan. The network helps show where Song Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Song Tan, 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 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 547 | |
| 2 | 2004 | 481 | |
| 3 | 2014 | 382 | |
| 4 | 2005 | 349 | |
| 5 | 2010 | 313 | |
| 6 | 2001 | 295 | |
| 7 | 1995 | 288 | |
| 8 | 2014 | 263 | |
| 9 | 1996 | 242 | |
| 10 | 2010 | 228 | |
| 11 | 2002 | 208 | |
| 12 | 2002 | 191 | |
| 13 | 2001 | 188 | |
| 14 | 1998 | 181 | |
| 15 | 2005 | 153 | |
| 16 | 2007 | 153 | |
| 17 | 2005 | 146 | |
| 18 | 2013 | 123 | |
| 19 | 2010 | 109 | |
| 20 | 2006 | 106 |
About Song Tan
Song Tan is a scholar working on Molecular Biology, Astronomy and Astrophysics, Endocrine and Autonomic Systems, Computer Vision and Pattern Recognition and Ecology, having authored 107 papers that have together received 6.9k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (46 papers), Epigenetics and DNA Methylation (16 papers), RNA Research and Splicing (13 papers), RNA and protein synthesis mechanisms (13 papers), Solar and Space Plasma Dynamics (11 papers), Ubiquitin and proteasome pathways (11 papers), DNA Repair Mechanisms (10 papers) and Cancer-related gene regulation (10 papers). The work is most often cited by research in Molecular Biology (5.7k citations), Aging (59 citations), Geriatrics and Gerontology (81 citations), Cell Biology (355 citations) and Genetics (591 citations). Song Tan has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Robert K. McGinty, Timothy J. Richmond, William Selleck, Jacques Côté, Yannick Doyon, William S. Lane, Luca Pellegrini, Ravindra D. Makde, Ryan C. Henrici and Joseph R. England. Their work appears in journals such as Molecular Cell, Nature, Protein Expression and Purification, Journal of Molecular Biology and The Astrophysical Journal.
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.