Buu P. Tu

3.0k total citations · 1 hit paper
8 papers, 911 citations indexed

About

Buu P. Tu is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Buu P. Tu has authored 8 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Surgery. Recurrent topics in Buu P. Tu's work include RNA Interference and Gene Delivery (3 papers), CRISPR and Genetic Engineering (2 papers) and Knee injuries and reconstruction techniques (2 papers). Buu P. Tu is often cited by papers focused on RNA Interference and Gene Delivery (3 papers), CRISPR and Genetic Engineering (2 papers) and Knee injuries and reconstruction techniques (2 papers). Buu P. Tu collaborates with scholars based in United States, Switzerland and Japan. Buu P. Tu's co-authors include Anthony P. Orth, Loren Miraglia, Zhaozhu Qiu, Jürgen Reinhardt, Ardem Patapoutian, Jayanti Mathur, Adrienne E. Dubin, Yingyao Zhou, Sumit K. Chanda and Paul DeJesus and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Buu P. Tu

8 papers receiving 900 citations

Hit Papers

SWELL1, a Plasma Membrane Protein, Is an Essential Compon... 2014 2026 2018 2022 2014 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. SWELL1, a Plasma Membrane Protein, Is an Essential Component of Volume-Regulated Anion Channel
    2014 450 citations Zhaozhu Qiu, Adrienne E. Dubin et al. Cell profile →

Peers

Buu P. Tu
Gilbert A. Keller United States
Hanneke Okkenhaug United Kingdom
Chaim Jalas United States
Judith C. Williams United Kingdom
Sheree Lynn Rybak United States
Lawrence Baizer United States
Éric Lacazette France
Antonio Coloma Spain
Kyun Heo South Korea
Umberto Di Vicino Italy
Gilbert A. Keller United States
Buu P. Tu
Citations per year, relative to Buu P. Tu Buu P. Tu (= 1×) peers Gilbert A. Keller

Countries citing papers authored by Buu P. Tu

Since Specialization
Citations

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

Fields of papers citing papers by Buu P. Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Buu P. Tu

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

All Works

8 of 8 papers shown
1.
Horman, Shane R., Jeremy To, John R. Lamb, et al.. (2017). Functional profiling of microtumors to identify cancer associated fibroblast-derived drug targets. Oncotarget. 8(59). 99913–99930. 31 indexed citations
2.
Qiu, Zhaozhu, Adrienne E. Dubin, Jayanti Mathur, et al.. (2014). SWELL1, a Plasma Membrane Protein, Is an Essential Component of Volume-Regulated Anion Channel. Cell. 157(2). 447–458. 450 indexed citations breakdown →
3.
Anderson, Paul, Buu P. Tu, Genevieve Welch, et al.. (2009). Identification of Small Molecule and Genetic Modulators of AON-Induced Dystrophin Exon Skipping by High-Throughput Screening. PLoS ONE. 4(12). e8348–e8348. 30 indexed citations
4.
Zhu, Shoutian, Heiko Wurdak, Yan Wang, et al.. (2009). A genomic screen identifies TYRO3 as a MITF regulator in melanoma. Proceedings of the National Academy of Sciences. 106(40). 17025–17030. 74 indexed citations
5.
König, Renate, Chih-Yuan Chiang, Buu P. Tu, et al.. (2007). A probability-based approach for the analysis of large-scale RNAi screens. Nature Methods. 4(10). 847–849. 229 indexed citations
6.
Rines, Daniel R., Buu P. Tu, Loren Miraglia, et al.. (2006). High‐Content Screening of Functional Genomic Libraries. Methods in enzymology on CD-ROM/Methods in enzymology. 414. 530–565. 16 indexed citations
7.
Tu, Buu P., Jürgen Mollenhauer, Warren Knudson, et al.. (2001). Mechanisms of chondrocyte adhesion to cartilage: role of β1‐integrins, CD44, and annexin V. Journal of Orthopaedic Research®. 19(6). 1122–1130. 45 indexed citations
8.
Healey, Robert, Robert L. Sah, Buu P. Tu, et al.. (2000). Novel Method for the Quantitative Assessment of Cell Migration: A Study on the Motility of Rabbit Anterior Cruciate (ACL) and Medial Collateral Ligament (MCL) Cells. Tissue Engineering. 6(1). 29–38. 36 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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