Daqi Tu

1.4k total citations · 1 hit paper
9 papers, 1.1k citations indexed

About

Daqi Tu is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Daqi Tu has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cell Biology and 3 papers in Genetics. Recurrent topics in Daqi Tu's work include Ubiquitin and proteasome pathways (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and interferon and immune responses (2 papers). Daqi Tu is often cited by papers focused on Ubiquitin and proteasome pathways (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers) and interferon and immune responses (2 papers). Daqi Tu collaborates with scholars based in United States and South Korea. Daqi Tu's co-authors include Peter B. Moore, Gregor Blaha, Thomas A. Steitz, Yihong Ye, Axel T. Brünger, Wei Li, Michael J. Eck, Xiaomo Jiang, Hao Wu and Qian Yin and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Daqi Tu

9 papers receiving 1.1k citations

Hit Papers

Structures of MLSBK Antibiotics Bound to Mutated Large Ri... 2005 2026 2012 2019 2005 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daqi Tu United States 9 788 329 215 196 170 9 1.1k
Alan P. Lewis United Kingdom 17 838 1.1× 238 0.7× 188 0.9× 245 1.3× 132 0.8× 24 1.3k
Agnieszka Szyk United States 18 994 1.3× 189 0.6× 176 0.8× 183 0.9× 498 2.9× 42 1.5k
Michael Dolan United States 22 673 0.9× 274 0.8× 377 1.8× 263 1.3× 102 0.6× 52 1.3k
Erwann Le Rouzic France 21 824 1.0× 359 1.1× 569 2.6× 254 1.3× 63 0.4× 28 1.5k
Nora Cronin United Kingdom 18 983 1.2× 126 0.4× 95 0.4× 72 0.4× 204 1.2× 29 1.3k
Jeremy D. Brown United Kingdom 18 1.4k 1.8× 128 0.4× 115 0.5× 151 0.8× 315 1.9× 35 1.8k
C H Lee United States 18 608 0.8× 141 0.4× 314 1.5× 328 1.7× 76 0.4× 23 1.3k
Theresa H. Ward United Kingdom 18 858 1.1× 157 0.5× 314 1.5× 366 1.9× 638 3.8× 24 1.6k
Stuart W. Hicks United States 18 553 0.7× 247 0.8× 50 0.2× 122 0.6× 305 1.8× 28 1.1k
Shaeri Mukherjee United States 17 634 0.8× 235 0.7× 55 0.3× 183 0.9× 325 1.9× 29 1.1k

Countries citing papers authored by Daqi Tu

Since Specialization
Citations

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

Fields of papers citing papers by Daqi Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daqi Tu

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

All Works

9 of 9 papers shown
1.
Tu, Daqi, Zehua Zhu, Alicia Y. Zhou, et al.. (2013). Structure and Ubiquitination-Dependent Activation of TANK-Binding Kinase 1. Cell Reports. 3(3). 747–758. 167 indexed citations
2.
Yin, Qian, Yuan Tian, Venkataraman Kabaleeswaran, et al.. (2012). Cyclic di-GMP Sensing via the Innate Immune Signaling Protein STING. Molecular Cell. 46(6). 735–745. 219 indexed citations
3.
Tu, Daqi, Brian R. Graziano, Eunyoung Park, et al.. (2012). Structure of the formin-interaction domain of the actin nucleation-promoting factor Bud6. Proceedings of the National Academy of Sciences. 109(50). E3424–33. 26 indexed citations
4.
Tu, Daqi, Yiqun Li, Hyun Kyu Song, et al.. (2011). Crystal Structure of a Coiled-Coil Domain from Human ROCK I. PLoS ONE. 6(3). e18080–e18080. 31 indexed citations
5.
Li, Wei, Daqi Tu, Lianyun Li, et al.. (2009). Mechanistic insights into active site-associated polyubiquitination by the ubiquitin-conjugating enzyme Ube2g2. Proceedings of the National Academy of Sciences. 106(10). 3722–3727. 78 indexed citations
6.
Tu, Daqi, Wei Li, Yihong Ye, & Axel T. Brünger. (2007). Structure and function of the yeast U-box-containing ubiquitin ligase Ufd2p. Proceedings of the National Academy of Sciences. 104(40). 15599–15606. 52 indexed citations
7.
Li, Wei, Daqi Tu, Axel T. Brünger, & Yihong Ye. (2007). A ubiquitin ligase transfers preformed polyubiquitin chains from a conjugating enzyme to a substrate. Nature. 446(7133). 333–337. 175 indexed citations
8.
Tu, Daqi, Gregor Blaha, Peter B. Moore, & Thomas A. Steitz. (2005). Structures of MLSBK Antibiotics Bound to Mutated Large Ribosomal Subunits Provide a Structural Explanation for Resistance. Cell. 121(2). 257–270. 343 indexed citations breakdown →
9.
Tu, Daqi, Gregor Blaha, Peter B. Moore, & Thomas A. Steitz. (2005). Gene replacement in Haloarcula marismortui: construction of a strain with two of its three chromosomal rRNA operons deleted. Extremophiles. 9(6). 427–435. 21 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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