Yejia Song

2.1k citations
34 papers · 1.7k indexed · h-index 18
Topics
Cardiac electrophysiology and arrhythmias (33 papers)Ion channel regulation and function (31 papers)Neuroscience and Neural Engineering (10 papers)

In The Last Decade

Yejia Song

34 papers receiving 1.6k citations

Peers

Yejia Song
Comparison fields: 5 of 83
  • Cardiology and Cardiovascular Medicine 1.4k
  • Molecular Biology 1.1k
  • Cellular and Molecular Neuroscience 282
  • Electrochemistry 187
  • Pathology and Forensic Medicine 149
Replace Lin Wu with:
Lin Wu China
Gregory R. Ferrier Canada
Tatsuto Kiyosue Japan
Gudrun Antoons Netherlands
Scott T. Lamp United States
Andrew F. James United Kingdom
Sridharan Rajamani United States
A. I. Undrovinas United States
Iain Dukes United States
Derek S. Steele United Kingdom
Yejia Song relative to Lin Wu China Lin Wu's profile →
Citations per field
00.5×1.5×2.5×
Lin Wu · 1×
Citations per year

Countries citing papers authored by Yejia Song

Since Specialization
Citations

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

Fields of papers citing papers by Yejia Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yejia Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yejia Song. A scholar is included among the top collaborators of Yejia Song 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 Yejia Song. Yejia Song 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
1 5
2 17
3 13
4 10
5 101
6 4
7 27
8 31
9 43
10 1
11 77
12 219
13 28
14 161
15 166
16 11
17 16
18 17
19 5
20 74

About Yejia Song

Yejia Song is a scholar working on Cardiology and Cardiovascular Medicine, Electrochemistry and Cellular and Molecular Neuroscience, having authored 34 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (33 papers), Ion channel regulation and function (31 papers) and Neuroscience and Neural Engineering (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.4k citations), Electrochemistry (187 citations) and Physiology (112 citations). Yejia Song has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Luiz Belardinelli, John C. Shryock, Lin Wu, Charles Antzelevitch, Miduturu Srinivas, Daqing Wang, Stefan Wagner, Lars S. Maier, Sridharan Rajamani and Vladislav V. Nesterenko. Their work appears in journals such as Circulation, Circulation Research and The 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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