Feng Tie

2.0k total citations
24 papers, 1.6k citations indexed

About

Feng Tie is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science. According to data from OpenAlex, Feng Tie has authored 24 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 4 papers in Ecology, Evolution, Behavior and Systematics and 4 papers in Agronomy and Crop Science. Recurrent topics in Feng Tie's work include Epigenetics and DNA Methylation (16 papers), Genomics and Chromatin Dynamics (12 papers) and Cancer-related gene regulation (8 papers). Feng Tie is often cited by papers focused on Epigenetics and DNA Methylation (16 papers), Genomics and Chromatin Dynamics (12 papers) and Cancer-related gene regulation (8 papers). Feng Tie collaborates with scholars based in United States, China and Sweden. Feng Tie's co-authors include Peter J. Harte, Rakhee Banerjee, Takehito Furuyama, Peter C. Scacheri, Carl A. Stratton, Chou‐Zen Giam, Andrei Zlobin, Manuel O. Dı́az, Esther P. Jane and Jacob E. Moskowitz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Feng Tie

24 papers receiving 1.6k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Feng Tie United States 17 1.3k 229 200 180 155 24 1.6k
Mariko Moniwa Canada 13 1.0k 0.8× 48 0.2× 155 0.8× 246 1.4× 80 0.5× 17 1.3k
Alain Zider France 16 711 0.6× 107 0.5× 112 0.6× 181 1.0× 43 0.3× 27 1.1k
Jeongsil Kim‐Ha South Korea 17 1.3k 1.1× 335 1.5× 174 0.9× 227 1.3× 41 0.3× 34 1.8k
Renate Faast Australia 16 1.0k 0.8× 65 0.3× 166 0.8× 237 1.3× 153 1.0× 25 1.3k
Séverine Chambeyron France 18 1.4k 1.1× 56 0.2× 661 3.3× 264 1.5× 30 0.2× 30 1.5k
Cosmas D. Arnold Austria 15 1.9k 1.5× 111 0.5× 369 1.8× 413 2.3× 43 0.3× 22 2.1k
Tasman Daish Australia 15 1.4k 1.1× 267 1.2× 216 1.1× 311 1.7× 61 0.4× 23 1.8k
Jean‐Paul Renard France 23 1.6k 1.2× 66 0.3× 99 0.5× 847 4.7× 11 0.1× 34 2.1k
Ricardo Sànchez United States 14 691 0.5× 124 0.5× 35 0.2× 61 0.3× 21 0.1× 17 961
Grégoire Denay Germany 9 872 0.7× 69 0.3× 345 1.7× 111 0.6× 27 0.2× 11 1.1k

Countries citing papers authored by Feng Tie

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Feng Tie

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Tie. A scholar is included among the top collaborators of Feng Tie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Feng Tie. Feng Tie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tie, Feng, et al.. (2024). Research progress on the role of lncRNA, circular RNA, and microRNA networks in regulating ferroptosis in osteosarcoma. Biomedicine & Pharmacotherapy. 176. 116924–116924. 4 indexed citations
2.
Du, Juan, Junzheng Zhang, Tao He, et al.. (2016). Stuxnet Facilitates the Degradation of Polycomb Protein during Development. Developmental Cell. 37(6). 507–519. 27 indexed citations
3.
Hong, Zehui, Da Ma, Yuchen Qian, et al.. (2013). Drosophila UTX Coordinates with p53 to Regulate ku80 Expression in Response to DNA Damage. PLoS ONE. 8(11). e78652–e78652. 19 indexed citations
4.
Mason‐Suares, Heather, Feng Tie, Christopher M. Yan, & Peter J. Harte. (2013). Polycomb silencing of the Drosophila 4E-BP gene regulates imaginal disc cell growth. Developmental Biology. 380(1). 111–124. 3 indexed citations
5.
Tie, Feng, Rakhee Banerjee, Patricia A. Conrad, Peter C. Scacheri, & Peter J. Harte. (2012). Histone Demethylase UTX and Chromatin Remodeler BRM Bind Directly to CBP and Modulate Acetylation of Histone H3 Lysine 27. Molecular and Cellular Biology. 32(12). 2323–2334. 98 indexed citations
6.
Lin, Nianwei, Li X, Kairong Cui, et al.. (2011). A Barrier-Only Boundary Element Delimits the Formation of Facultative Heterochromatin in Drosophila melanogaster and Vertebrates. Molecular and Cellular Biology. 31(13). 2729–2741. 15 indexed citations
7.
Zhou, Guangjin, Yifei Liu, Feng Tie, et al.. (2010). Purification of a novel RECQL5-SWI/SNF-RNAPII super complex.. PubMed. 1(1). 101–111. 7 indexed citations
8.
Banerjee, Rakhee, et al.. (2009). Polycomb Repressive Complex 2 and Trithorax modulate Drosophila longevity and stress resistance. Proceedings of the National Academy of Sciences. 107(1). 169–174. 138 indexed citations
9.
Tie, Feng, et al.. (2007). Drosophila ESC-like can substitute for ESC and becomes required for Polycomb silencing if ESC is absent. Developmental Biology. 313(1). 293–306. 28 indexed citations
10.
Tie, Feng, et al.. (2007). The N Terminus of Drosophila ESC Binds Directly to Histone H3 and Is Required for E(Z)-Dependent Trimethylation of H3 Lysine 27. Molecular and Cellular Biology. 27(6). 2014–2026. 64 indexed citations
11.
Tie, Feng, et al.. (2005). The N-terminus of Drosophila ESC mediates its phosphorylation and dimerization. Biochemical and Biophysical Research Communications. 332(2). 622–632. 14 indexed citations
12.
Furuyama, Takehito, Feng Tie, & Peter J. Harte. (2003). Polycomb group proteins ESC and E(Z) are present in multiple distinct complexes that undergo dynamic changes during development. genesis. 35(2). 114–124. 33 indexed citations
13.
Tie, Feng, et al.. (2003). A 1-Megadalton ESC/E(Z) Complex from Drosophila That Contains Polycomblike and RPD3. Molecular and Cellular Biology. 23(9). 3352–3362. 113 indexed citations
15.
Wang, Jianbo, Feng Tie, Esther P. Jane, et al.. (2000). Mouse homolog of theDrosophila Pc-G geneesc exerts a dominant negative effect inDrosophila. genesis. 26(1). 67–76. 3 indexed citations
17.
Tie, Feng, Takehito Furuyama, & Peter J. Harte. (1998). The Drosophila Polycomb Group proteins ESC and E(Z) bind directly to each other and co-localize at multiple chromosomal sites. Development. 125(17). 3483–3496. 83 indexed citations
18.
Nicot, Christophe, Feng Tie, & Chou‐Zen Giam. (1998). Cytoplasmic Forms of Human T-Cell Leukemia Virus Type 1 Tax Induce NF-κB Activation. Journal of Virology. 72(8). 6777–6784. 50 indexed citations
19.
Tie, Feng, Neeraj Adya, W C Greene, & Chou‐Zen Giam. (1996). Interaction of the human T-lymphotropic virus type 1 Tax dimer with CREB and the viral 21-base-pair repeat. Journal of Virology. 70(12). 8368–8374. 90 indexed citations
20.
Boros, Imre, Feng Tie, & Chou‐Zen Giam. (1995). Interaction of Bovine Leukemia Virus Transactivator Tax with bZip Proteins. Virology. 214(1). 207–214. 18 indexed citations

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.

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