Feng Tie
Impact in
- Aging top 2%
- Molecular Biology top 5%
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Cancer-related gene regulation
- RNA modifications and cancer
- Histone Deacetylase Inhibitors Research
Papers in
-
- Epigenetics and DNA Methylation 16
- Genomics and Chromatin Dynamics 12
- Cancer-related gene regulation 8
- Histone Deacetylase Inhibitors Research 5
-
- Vector-Borne Animal Diseases 4
- Co-authors
- Peter J. Harte (16 shared papers)Rakhee Banerjee (5 shared papers)Takehito Furuyama (3 shared papers)Peter C. Scacheri (3 shared papers)Carl A. Stratton (4 shared papers)Chou‐Zen Giam (4 shared papers)Manuel O. Dı́az (1 shared paper)Andrei Zlobin (1 shared paper)
- Journals
- Development (5 papers)Molecular and Cellular Biology (4 papers)Journal of Virology (2 papers)Proceedings of the National Academy of Sciences (2 papers)genesis (2 papers)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Feng Tie
24 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 77
- Aging 101
- Molecular Biology 1.3k
- Agronomy and Crop Science 137
- Immunology 229
- Ecology, Evolution, Behavior and Systematics 155
Countries citing papers authored by Feng Tie
This map shows the geographic impact of Feng Tie'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 Feng Tie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng Tie more than expected).
Fields of papers citing papers by Feng Tie
This network shows the impact of papers produced by Feng Tie. 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 Feng Tie. The network helps show where Feng Tie may publish in the future.
Co-authors
The 25 scholars most cited alongside Feng Tie, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 412 | |
| 2 | 2001 | 220 | |
| 3 | 2009 | 138 | |
| 4 | 2003 | 113 | |
| 5 | 2012 | 98 | |
| 6 | 1996 | 90 | |
| 7 | 2014 | 84 | |
| 8 | 1998 | 83 | |
| 9 | 2007 | 64 | |
| 10 | 1998 | 50 | |
| 11 | 2016 | 38 | |
| 12 | 2003 | 33 | |
| 13 | 2007 | 28 | |
| 14 | 2016 | 27 | |
| 15 | 2013 | 19 | |
| 16 | 1995 | 18 | |
| 17 | 1998 | 17 | |
| 18 | 2011 | 15 | |
| 19 | 2005 | 14 | |
| 20 | Purification of a novel RECQL5-SWI/SNF-RNAPII super complex. | 2010 | 7 |
About Feng Tie
Feng Tie is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Agronomy and Crop Science, Immunology and Genetics, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (16 papers), Genomics and Chromatin Dynamics (12 papers), Cancer-related gene regulation (8 papers), Histone Deacetylase Inhibitors Research (5 papers), Animal Disease Management and Epidemiology (4 papers), T-cell and Retrovirus Studies (4 papers), Vector-Borne Animal Diseases (4 papers) and Genetics and Neurodevelopmental Disorders (2 papers). The work is most often cited by research in Aging (101 citations), Molecular Biology (1.3k citations), Agronomy and Crop Science (137 citations), Immunology (229 citations) and Ecology, Evolution, Behavior and Systematics (155 citations). Feng Tie has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Peter J. Harte, Rakhee Banerjee, Takehito Furuyama, Peter C. Scacheri, Carl A. Stratton, Chou‐Zen Giam, Manuel O. Dı́az, Andrei Zlobin, Esther P. Jane and Åsa Rasmuson-Lestander. Their work appears in journals such as Development, Molecular and Cellular Biology, Journal of Virology, Proceedings of the National Academy of Sciences and genesis.
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.