Feici Diao

2.5k total citations · 1 hit paper
10 papers, 2.0k citations indexed

About

Feici Diao is a scholar working on Molecular Biology, Immunology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Feici Diao has authored 10 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Immunology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Feici Diao's work include interferon and immune responses (6 papers), Immune Response and Inflammation (4 papers) and NF-κB Signaling Pathways (3 papers). Feici Diao is often cited by papers focused on interferon and immune responses (6 papers), Immune Response and Inflammation (4 papers) and NF-κB Signaling Pathways (3 papers). Feici Diao collaborates with scholars based in China, United States and Chile. Feici Diao's co-authors include Bo Zhong, Po Tien, Shu Li, Cao‐Qi Lei, Lu Zhang, Yanyi Wang, Xiao He, Ying Li, Yan Yang and Hong-Bing Shu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Immunity.

In The Last Decade

Feici Diao

10 papers receiving 2.0k citations

Hit Papers

The Adaptor Protein MITA Links Virus-Sensing Receptors to... 2008 2026 2014 2020 2008 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feici Diao China 10 1.6k 917 554 260 200 10 2.0k
Jayashree M. Paranjape United States 15 1.1k 0.7× 794 0.9× 247 0.4× 113 0.4× 325 1.6× 21 1.9k
Qinmiao Sun China 29 735 0.5× 1.1k 1.2× 267 0.5× 199 0.8× 485 2.4× 54 2.1k
Shelly Bambina United States 20 1.2k 0.7× 615 0.7× 285 0.5× 134 0.5× 326 1.6× 31 2.3k
Christelle Langevin France 24 835 0.5× 856 0.9× 273 0.5× 97 0.4× 136 0.7× 43 1.9k
Penny P. Powell United Kingdom 24 395 0.2× 670 0.7× 244 0.4× 90 0.3× 313 1.6× 42 1.8k
Theresa Higgins United Kingdom 19 527 0.3× 808 0.9× 187 0.3× 94 0.4× 283 1.4× 27 1.5k
Alexey A. Matskevich Switzerland 16 789 0.5× 429 0.5× 88 0.2× 67 0.3× 95 0.5× 24 1.3k
Kirsten Fischer Lindahl United States 28 1.6k 1.0× 858 0.9× 63 0.1× 65 0.3× 147 0.7× 67 2.7k
Isabelle Blanc France 17 287 0.2× 1.0k 1.1× 185 0.3× 120 0.5× 203 1.0× 30 1.7k
Alberto Fraile‐Ramos Spain 20 406 0.3× 500 0.5× 121 0.2× 88 0.3× 702 3.5× 23 1.4k

Countries citing papers authored by Feici Diao

Since Specialization
Citations

This map shows the geographic impact of Feici Diao'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 Feici Diao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feici Diao more than expected).

Fields of papers citing papers by Feici Diao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feici Diao. 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 Feici Diao. The network helps show where Feici Diao may publish in the future.

Co-authorship network of co-authors of Feici Diao

This figure shows the co-authorship network connecting the top 25 collaborators of Feici Diao. A scholar is included among the top collaborators of Feici Diao 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 Feici Diao. Feici Diao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Diao, Feici, et al.. (2017). Neuromodulatory connectivity defines the structure of a behavioral neural network. eLife. 6. 25 indexed citations
2.
Diao, Fengqiu, Holly Ironfield, Haojiang Luan, et al.. (2015). Plug-and-Play Genetic Access to Drosophila Cell Types using Exchangeable Exon Cassettes. Cell Reports. 10(8). 1410–1421. 212 indexed citations
3.
Diao, Feici, Jonathan Shi, Dongkook Park, et al.. (2015). The Splice Isoforms of the Drosophila Ecdysis Triggering Hormone Receptor Have Developmentally Distinct Roles. Genetics. 202(1). 175–189. 34 indexed citations
4.
Gao, Dong, Yongkang Yang, Ruipeng Wang, et al.. (2009). REUL Is a Novel E3 Ubiquitin Ligase and Stimulator of Retinoic-Acid-Inducible Gene-I. PLoS ONE. 4(6). e5760–e5760. 117 indexed citations
5.
Zhang, Min, Ruipeng Wang, Yan‐Yi Wang, et al.. (2009). The CXXC finger 5 protein is required for DNA damage-induced p53 activation. Science in China Series C Life Sciences. 52(6). 528–538. 26 indexed citations
6.
Zhang, Min, Yang Tian, Ruipeng Wang, et al.. (2008). Negative feedback regulation of cellular antiviral signaling by RBCK1-mediated degradation of IRF3. Cell Research. 18(11). 1096–1104. 129 indexed citations
7.
Zhong, Bo, Yan Yang, Shu Li, et al.. (2008). The Adaptor Protein MITA Links Virus-Sensing Receptors to IRF3 Transcription Factor Activation. Immunity. 29(4). 538–550. 1236 indexed citations breakdown →
8.
Diao, Feici, Shu Li, Yang Tian, et al.. (2007). Negative regulation of MDA5- but not RIG-I-mediated innate antiviral signaling by the dihydroxyacetone kinase. Proceedings of the National Academy of Sciences. 104(28). 11706–11711. 111 indexed citations
9.
Wang, Ruipeng, Min Zhang, Ying Li, et al.. (2007). Differential regulation of IKKα-mediated activation of IRF3/7 by NIK. Molecular Immunology. 45(7). 1926–1934. 33 indexed citations
10.
Tian, Yang, Yan Zhang, Bo Zhong, et al.. (2007). RBCK1 Negatively Regulates Tumor Necrosis Factor- and Interleukin-1-triggered NF-κB Activation by Targeting TAB2/3 for Degradation. Journal of Biological Chemistry. 282(23). 16776–16782. 58 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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