Fenfen Wu

1.7k citations
32 papers · 1.2k indexed · 1 hit paper · h-index 16

Fenfen Wu

32 papers receiving 1.2k citations

Hit Papers

A peptide encoded by a transcript annotated as long nonco...5842016202620192022100200300400500

Peers

Fenfen Wu
Comparison fields: 5 of 88
  • Cancer Research 317
  • Cellular and Molecular Neuroscience 298
  • Cardiology and Cardiovascular Medicine 364
  • Molecular Biology 993
  • Sensory Systems 34
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

The 25 scholars most cited alongside Fenfen Wu, 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 Fenfen Wu Line = papers co-authored together Fenfen Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20235
3 202120
4 20201
5 20208
6 201927
7 201827
8 20171
9 201617
10
A peptide encoded by a transcript annotated as long noncoding RNA enhances SERCA activity in musclebreakdown →
2016584
11 20153
12 201414
13 2013111
14 201329
15 201235
16 201159
17 199610
18 199325
19 19921
20 19903

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), Neuroscience and Neuropharmacology Research (6 papers), Neuroscience and Neural Engineering (5 papers), Congenital Heart Disease Studies (4 papers), Ion Channels and Receptors (2 papers), Ultrasound in Clinical Applications (2 papers) and Streptococcal Infections and Treatments (2 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 The Journal of General Physiology, Biophysical Journal, Brain, Journal of Clinical Investigation and Proceedings of the National Academy of Sciences.

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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