Feng Tie
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 5%
- Epigenetics and DNA Methylation
- Genomics and Chromatin Dynamics
- Cancer-related gene regulation
- RNA modifications and cancer
- Histone Deacetylase Inhibitors Research
- RNA Research and Splicing
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 3
- 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)Andrei Zlobin (1 shared paper)Manuel O. Dı́az (1 shared paper)Esther P. Jane (2 shared papers)
- Journals
- Development (5 papers)Molecular and Cellular Biology (4 papers)Developmental Biology (2 papers)Proceedings of the National Academy of Sciences (2 papers)genesis (2 papers)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Feng Tie
23 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 75
- Aging 106
- Molecular Biology 1.3k
- Immunology 144
- Genetics 182
- Agronomy and Crop Science 65
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 430 | |
| 2 | 2001 | 227 | |
| 3 | 2009 | 162 | |
| 4 | 2003 | 114 | |
| 5 | 2012 | 104 | |
| 6 | 1998 | 87 | |
| 7 | 2014 | 85 | |
| 8 | 2007 | 67 | |
| 9 | 1998 | 50 | |
| 10 | 2016 | 39 | |
| 11 | 2003 | 34 | |
| 12 | 2016 | 29 | |
| 13 | 2007 | 28 | |
| 14 | 2013 | 19 | |
| 15 | 1995 | 18 | |
| 16 | 1998 | 17 | |
| 17 | 2011 | 16 | |
| 18 | 2005 | 14 | |
| 19 | Purification of a novel RECQL5-SWI/SNF-RNAPII super complex. | 2010 | 7 |
| 20 | 2022 | 5 |
About Feng Tie
Feng Tie is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Agronomy and Crop Science, Genetics and Immunology, having authored 23 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), Vector-Borne Animal Diseases (3 papers), T-cell and Retrovirus Studies (3 papers), Animal Disease Management and Epidemiology (3 papers) and Genetics and Neurodevelopmental Disorders (2 papers). The work is most often cited by research in Aging (106 citations), Molecular Biology (1.3k citations), Immunology (144 citations), Genetics (182 citations) and Agronomy and Crop Science (65 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, Andrei Zlobin, Manuel O. Dı́az, Esther P. Jane, Jacob E. Moskowitz and Dániel Kiss. Their work appears in journals such as Development, Molecular and Cellular Biology, Developmental Biology, 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.