Patricia G. Tu

894 total citations · 1 hit paper
8 papers, 669 citations indexed

About

Patricia G. Tu is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Spectroscopy. According to data from OpenAlex, Patricia G. Tu has authored 8 papers receiving a total of 669 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Spectroscopy. Recurrent topics in Patricia G. Tu's work include RNA Research and Splicing (3 papers), Advanced Proteomics Techniques and Applications (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Patricia G. Tu is often cited by papers focused on RNA Research and Splicing (3 papers), Advanced Proteomics Techniques and Applications (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Patricia G. Tu collaborates with scholars based in United States. Patricia G. Tu's co-authors include James J. Moresco, Lisa M. Ryno, Chunlei Wu, Andrew I. Su, Matthew D. Shoulders, Jeffery W. Kelly, Joseph C. Genereux, R. Luke Wiseman, John R. Yates and John R. Yates and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genes & Development and PLoS ONE.

In The Last Decade

Patricia G. Tu

8 papers receiving 667 citations

Hit Papers

align trajectories

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.

Stress-Independent Activation of XBP1s and/or ATF6 Reveals Three Functionally Diverse ER Proteostasis Environments

2013 422 citations Matthew D. Shoulders, Lisa M. Ryno et al. Cell Reports profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Patricia G. Tu United States	8	399	348	157	72	70	8	669
Ryan J Paxman United States	9	407 1.0×	427 1.2×	182 1.2×	71 1.0×	63 0.9×	10	703
Alisa Zyryanova United Kingdom	11	464 1.2×	399 1.1×	133 0.8×	90 1.3×	34 0.5×	12	733
Binayak Roy United States	8	674 1.7×	613 1.8×	240 1.5×	85 1.2×	49 0.7×	8	1.0k
Masaya Oku Japan	7	329 0.8×	493 1.4×	232 1.5×	89 1.2×	49 0.7×	10	644
Ryo Ushioda Japan	12	587 1.5×	690 2.0×	278 1.8×	91 1.3×	80 1.1×	22	1.0k
Joel Otero United States	10	730 1.8×	219 0.6×	92 0.6×	38 0.5×	187 2.7×	13	901
Daniël Blom United States	15	465 1.2×	294 0.8×	181 1.2×	39 0.5×	99 1.4×	19	813
Chun-Chih Tseng United States	9	318 0.8×	344 1.0×	175 1.1×	71 1.0×	29 0.4×	10	617
Reiner Hitt Germany	7	394 1.0×	346 1.0×	160 1.0×	21 0.3×	45 0.6×	8	568
Marina Shenkman Israel	19	604 1.5×	652 1.9×	302 1.9×	97 1.3×	130 1.9×	28	1.0k

Countries citing papers authored by Patricia G. Tu

Since Specialization

Citations

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

Fields of papers citing papers by Patricia G. Tu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia G. Tu

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Ziegler, Yvonne, James J. Moresco, Patricia G. Tu, John R. Yates, & Ann M. Nardulli. (2018). Proteomic analysis identifies highly expressed plasma membrane proteins for detection and therapeutic targeting of specific breast cancer subtypes. Clinical Proteomics. 15(1). 30–30. 8 indexed citations

2.

Alessi, Amelia F., Vishal Khivansara, Ting Han, et al.. (2015). Casein kinase II promotes target silencing by miRISC through direct phosphorylation of the DEAD-box RNA helicase CGH-1. Proceedings of the National Academy of Sciences. 112(52). E7213–22. 18 indexed citations

3.

Kallgren, Scott P., Stuart Andrews, Xavier Tadeo, et al.. (2014). The Proper Splicing of RNAi Factors Is Critical for Pericentric Heterochromatin Assembly in Fission Yeast. PLoS Genetics. 10(5). e1004334–e1004334. 24 indexed citations

4.

Ziegler, Yvonne, James J. Moresco, Patricia G. Tu, John R. Yates, & Ann M. Nardulli. (2014). Plasma Membrane Proteomics of Human Breast Cancer Cell Lines Identifies Potential Targets for Breast Cancer Diagnosis and Treatment. PLoS ONE. 9(7). e102341–e102341. 44 indexed citations

5.

Yao, Chengguo, Eun‐A Choi, Lingjie Weng, et al.. (2013). Overlapping and distinct functions of CstF64 and CstF64τ in mammalian mRNA 3′ processing. RNA. 19(12). 1781–1790. 57 indexed citations

6.

Shoulders, Matthew D., Lisa M. Ryno, Joseph C. Genereux, et al.. (2013). Stress-Independent Activation of XBP1s and/or ATF6 Reveals Three Functionally Diverse ER Proteostasis Environments. Cell Reports. 3(4). 1279–1292. 422 indexed citations breakdown →

7.

Wang, Jiyong, Xavier Tadeo, Haitong Hou, et al.. (2013). Epe1 recruits BET family bromodomain protein Bdf2 to establish heterochromatin boundaries. Genes & Development. 27(17). 1886–1902. 58 indexed citations

8.

Ambatipudi, Kiran, Stephen Swatkoski, James J. Moresco, et al.. (2012). Quantitative proteomics of parotid saliva in primary Sjögren's syndrome. PROTEOMICS. 12(19-20). 3113–3120. 38 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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