Daqi Tu

1.4k citations
9 papers · 1.1k · 1 hit paper · h-index 9

Impact in

Papers in

    • Ubiquitin and proteasome pathways 3
    • RNA and protein synthesis mechanisms 2
    • CRISPR and Genetic Engineering 1
    • Endoplasmic Reticulum Stress and Disease 3
    • Cellular Mechanics and Interactions 2

Daqi Tu

9 papers receiving 1.1k citations

Daqi Tu's Hit Papers

Structures of MLSBK Antibiotics Bound to Mutated Large Ribosomal Subunits Provide a Structural Explanation for Resistance 2005 · 347 citations
3470+7+14Years since publication100200300

Peers

Daqi Tu
Comparison fields: 5 of 77
  • Immunology 329
  • Molecular Medicine 69
  • Infectious Diseases 214
  • Molecular Biology 774
  • Cell Biology 168
Replace Nora Cronin with:
Nora Cronin United Kingdom
Alan P. Lewis United Kingdom
Nicholas Flint Switzerland
Michael Dolan United States
Erwann Le Rouzic France
Agnieszka Szyk United States
Jeremy D. Brown United Kingdom
K Yamanaka Japan
D Stueber Switzerland
Theresa H. Ward United Kingdom
Daqi Tu relative to Nora Cronin United Kingdom Nora Cronin's profile →
Citations per field
00.5×2.8×
Nora Cronin · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Daqi Tu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daqi Tu Line = papers co-authored together Daqi Tu links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Structures of MLSBK Antibiotics Bound to Mutated Large Ribosomal Subunits Provide a Structural Explanation for Resistance
Hit paper breakdown →
2005347
2 2012225
3 2007177
4 2013168
5 200979
6 200752
7 201131
8 201226
9 200521

About Daqi Tu

Daqi Tu is a scholar working on Molecular Biology, Cell Biology, Genetics, Immunology and Infectious Diseases, having authored 9 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (3 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), interferon and immune responses (2 papers), Cellular Mechanics and Interactions (2 papers), RNA and protein synthesis mechanisms (2 papers), CRISPR and Genetic Engineering (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Immunology (329 citations), Molecular Medicine (69 citations), Infectious Diseases (214 citations), Molecular Biology (774 citations) and Cell Biology (168 citations). Daqi Tu has collaborated with scholars based in United States and South Korea. Frequent co-authors include Thomas A. Steitz, Peter B. Moore, Gregor Blaha, Axel T. Brünger, Yihong Ye, Wei Li, Michael J. Eck, Zhijian J. Chen, Venkataraman Kabaleeswaran and Hao Wu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular Cell, Cell Reports, Extremophiles and Nature.

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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