Fenfen Wu

1.7k total citations · 1 hit paper
32 papers, 1.2k citations indexed

About

Fenfen Wu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Fenfen Wu has authored 32 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 22 papers in Cardiology and Cardiovascular Medicine and 12 papers in Cellular and Molecular Neuroscience. Recurrent topics in Fenfen Wu's work include Ion channel regulation and function (19 papers), Cardiac electrophysiology and arrhythmias (17 papers) and Neuroscience and Neuropharmacology Research (6 papers). Fenfen Wu is often cited by papers focused on Ion channel regulation and function (19 papers), Cardiac electrophysiology and arrhythmias (17 papers) and Neuroscience and Neuropharmacology Research (6 papers). Fenfen Wu collaborates with scholars based in United States, Taiwan and Japan. Fenfen Wu's co-authors include Stephen C. Cannon, Benjamin R. Nelson, John McAnally, Douglas M. Anderson, Rhonda Bassel‐Duby, Eric N. Olson, Wentao Mi, Ege T. Kavalali, Catherine A. Makarewich and Xiongwen Chen and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Fenfen Wu

32 papers receiving 1.2k citations

Hit Papers

A peptide encoded by a transcript annotated as long nonco... 2016 2026 2019 2022 2016 100 200 300 400 500
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. A peptide encoded by a transcript annotated as long noncoding RNA enhances SERCA activity in muscle
    2016 584 citations Benjamin R. Nelson, Catherine A. Makarewich et al. Science profile →

Peers

Fenfen Wu
Xiao-Ming Gao Australia
Kari Bente Foss Haug Norway
Paola M. Barral United States
Weidong Yong United States
Xiaochang Zhang China
Yukang Yuan China
Ranjana Arya India
Gary L. Stetler United States
Yukiko Hata Japan
Alessandra Breschi United States
Xiao-Ming Gao Australia
Fenfen Wu
Citations per year, relative to Fenfen Wu Fenfen Wu (= 1×) peers Xiao-Ming Gao

Countries citing papers authored by Fenfen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Fenfen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fenfen Wu

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

All Works

20 of 20 papers shown
1.
Quiñonez, Marbella, Fenfen Wu, Ekaterina Mokhonova, et al.. (2025). Potassium-sensitive loss of muscle force in the setting of reduced inward rectifier K + current: Implications for Andersen–Tawil syndrome. Proceedings of the National Academy of Sciences. 122(13). e2418021122–e2418021122. 2 indexed citations
2.
Quiñonez, Marbella, Marino DiFranco, Fenfen Wu, & Stephen C. Cannon. (2023). Retigabine suppresses loss of force in mouse models of hypokalaemic periodic paralysis. Brain. 146(4). 1554–1560. 5 indexed citations
3.
Savalli, Nicoletta, Marina Angelini, Fenfen Wu, et al.. (2021). The distinct role of the four voltage sensors of the skeletal CaV1.1 channel in voltage-dependent activation. The Journal of General Physiology. 153(11). 20 indexed citations
4.
Savalli, Nicoletta, Marina Angelini, Fenfen Wu, et al.. (2020). The Contribution of the Individual Voltage Sensors to the Activation of Skeletal CaV1.1 Channels. Biophysical Journal. 118(3). 105a–105a. 1 indexed citations
5.
Wu, Fenfen, et al.. (2020). Comparison of risk scores for predicting intravenous immunoglobulin resistance in Taiwanese patients with Kawasaki disease. Journal of the Formosan Medical Association. 120(10). 1884–1889. 8 indexed citations
6.
Wu, Fenfen, et al.. (2019). Resurgent and Gating Pore Currents Induced by De Novo SCN2A Epilepsy Mutations. eNeuro. 6(5). ENEURO.0141–19.2019. 27 indexed citations
7.
Wu, Fenfen, Marbella Quiñonez, Marino DiFranco, & Stephen C. Cannon. (2018). Stac3 enhances expression of human CaV1.1 in Xenopus oocytes and reveals gating pore currents in HypoPP mutant channels. The Journal of General Physiology. 150(3). 475–489. 27 indexed citations
8.
Wu, Fenfen, et al.. (2017). Stac3 Facilitated Expression of Ca V 1.1 in Xenopus Oocytes to Assess Functional Consequences of Hypopp Mutant Ca V 1.1-R528H. Biophysical Journal. 112(3). 245a–245a. 1 indexed citations
9.
Wu, Fenfen, Wentao Mi, Yu Fu, Arie Struyk, & Stephen C. Cannon. (2016). Mice with an NaV1.4 sodium channel null allele have latent myasthenia, without susceptibility to periodic paralysis. Brain. 139(6). 1688–1699. 17 indexed citations
10.
Nelson, Benjamin R., Catherine A. Makarewich, Douglas M. Anderson, et al.. (2016). A peptide encoded by a transcript annotated as long noncoding RNA enhances SERCA activity in muscle. Science. 351(6270). 271–275. 584 indexed citations breakdown →
11.
12.
He, Yunyun, Chunlei Liu, Xin Li, et al.. (2014). Usefulness of S100A12 as a prognostic biomarker for adverse events in patients with heart failure. Clinical Biochemistry. 48(4-5). 329–333. 14 indexed citations
13.
Nelson, Benjamin R., Fenfen Wu, Yun Liu, et al.. (2013). Skeletal muscle-specific T-tubule protein STAC3 mediates voltage-induced Ca 2+ release and contractility. Proceedings of the National Academy of Sciences. 110(29). 11881–11886. 111 indexed citations
14.
Wu, Fenfen, Wentao Mi, & Stephen C. Cannon. (2013). Bumetanide prevents transient decreases in muscle force in murine hypokalemic periodic paralysis. Neurology. 80(12). 1110–1116. 29 indexed citations
15.
Liu, Yun, Yoshie Sugiura, Fenfen Wu, et al.. (2012). β-Catenin stabilization in skeletal muscles, but not in motor neurons, leads to aberrant motor innervation of the muscle during neuromuscular development in mice. Developmental Biology. 366(2). 255–267. 35 indexed citations
16.
Wu, Fenfen, Wentao Mi, Dennis K. Burns, et al.. (2011). A sodium channel knockin mutant (NaV1.4-R669H) mouse model of hypokalemic periodic paralysis. Journal of Clinical Investigation. 121(10). 4082–4094. 59 indexed citations
17.
Wang, Jou‐Kou, Ing‐Sh Chiu, Shu‐Wen How, et al.. (1996). Anomalous Pulmonary Venous Pathway Traversing Pulmonary Parenchyma. CHEST Journal. 110(5). 1363–1366. 10 indexed citations
18.
Wang, Jou‐Kou, Hung‐Chi Lue, Mei‐Hwan Wu, et al.. (1993). Obstructed total anomalous pulmonary venous connection. Pediatric Cardiology. 14(1). 28–32. 25 indexed citations
19.
20.
Momma, Kazuo, et al.. (1990). Fetal Cardiovascular Cross-Sectional Morphology of Tetralogy of Fallot in Rats. Fetal Diagnosis and Therapy. 5(3-4). 196–204. 3 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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