Fenfen Wu

1.7k citations
32 papers · 1.2k indexed · 1 hit paper · h-index 16
Topics
Ion channel regulation and function (19 papers)Cardiac electrophysiology and arrhythmias (17 papers)Neuroscience and Neuropharmacology Research (6 papers)
Partner nations
United StatesTaiwanJapan

In The Last Decade

Fenfen Wu

32 papers receiving 1.2k citations

Hit Papers

A peptide encoded by a transcript annotated as long nonco...20162026201920222016100200300400500

Peers

Fenfen Wu
Comparison fields: 5 of 88
  • Molecular Biology 993
  • Cardiology and Cardiovascular Medicine 364
  • Cancer Research 317
  • Cellular and Molecular Neuroscience 298
  • Epidemiology 77
Replace Chris Plumpton with:
Chris Plumpton United Kingdom
Xiao-Ming Gao Australia
Antonella Carsana Italy
Alessandra Breschi United States
Yukang Yuan China
B. Chevalier France
Lalida Sirianant Germany
Ranjana Arya India
Elizabeth J. White United States
Philip Hublitz United Kingdom
Fenfen Wu relative to Chris Plumpton United Kingdom Chris Plumpton's profile →
Citations per field
00.5×11.7×
Chris Plumpton · 1×
Citations per year

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
#WorkIndexed citations
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2 5
3 20
4 1
5 8
6 27
7 27
8 1
9 17
10
A peptide encoded by a transcript annotated as long noncoding RNA enhances SERCA activity in musclebreakdown →
584
11 3
12 14
13 111
14 29
15 35
16 59
17 10
18 25
19 1
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About Fenfen Wu

Fenfen Wu is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Sensory Systems, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ion channel regulation and function (19 papers), Cardiac electrophysiology and arrhythmias (17 papers) and Neuroscience and Neuropharmacology Research (6 papers). The work is most often cited by research in Cancer Research (317 citations), Cellular and Molecular Neuroscience (298 citations) and Cardiology and Cardiovascular Medicine (364 citations). Fenfen Wu has collaborated with scholars based in United States, Taiwan and Japan. Frequent 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. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

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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