Lin Wu

1.5k citations
44 papers · 1.1k · h-index 19

Impact in

Papers in

Lin Wu

40 papers receiving 1.1k citations

Peers

Lin Wu
Comparison fields: 5 of 92
  • Cardiology and Cardiovascular Medicine 772
  • Physiology 99
  • Electrochemistry 93
  • Cellular and Molecular Neuroscience 173
  • Molecular Biology 636
Replace Yejia Song with:
Yejia Song United States
Iyuki Namekata Japan
Erkan Tuncay Türkiye
Jean‐Sébastien Rougier Switzerland
Gregory R. Ferrier Canada
Marie Demion France
D. Feuvray France
Brigitte Pelzmann Austria
Yumi Katano Japan
Eberhard P. Scholz Germany
Lin Wu relative to Yejia Song United States Yejia Song's profile →
Citations per field
00.5×3.9×
Yejia Song · 1×
Citations per year

Countries citing papers authored by Lin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Lin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018172
2 2012145
3 2004103
4 201177
5 200952
6 202051
7 200145
8 201144
9 201240
10 201738
11 201734
12 200628
13 200028
14 201627
15 200425
16 201620
17 201919
18 201718
19 201818
20 200217

About Lin Wu

Lin Wu is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cellular and Molecular Neuroscience, Electrochemistry and Immunology, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (23 papers), Ion channel regulation and function (19 papers), Cardiac Arrhythmias and Treatments (8 papers), Atrial Fibrillation Management and Outcomes (7 papers), Electrochemical Analysis and Applications (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Atherosclerosis and Cardiovascular Diseases (3 papers) and Adenosine and Purinergic Signaling (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (772 citations), Physiology (99 citations), Electrochemistry (93 citations), Cellular and Molecular Neuroscience (173 citations) and Molecular Biology (636 citations). Lin Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Luiz Belardinelli, John C. Shryock, Ming Lei, Christopher Huang, Derek A. Terrar, Jihua Ma, Peihua Zhang, Shandong Yu, Sridharan Rajamani and Hong Li. Their work appears in journals such as Circulation, Journal of Cardiovascular Pharmacology, International Journal of Clinical Practice, Journal of Pharmacology and Experimental Therapeutics and Pflügers Archiv - European Journal of Physiology.

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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