Han‐Gang Yu

2.4k citations
35 papers · 1.9k indexed · h-index 20
Topics
Ion channel regulation and function (27 papers)Cardiac electrophysiology and arrhythmias (24 papers)Neuroscience and Neuropharmacology Research (10 papers)

In The Last Decade

Han‐Gang Yu

35 papers receiving 1.9k citations

Peers

Han‐Gang Yu
Comparison fields: 5 of 92
  • Molecular Biology 1.3k
  • Cardiology and Cardiovascular Medicine 1.3k
  • Cellular and Molecular Neuroscience 639
  • Physiology 102
  • Sensory Systems 75
Replace Paola Imbrici with:
Paola Imbrici Italy
Teresa Giráldez Spain
Shojiro Isomoto Japan
Rikuo Ochi Japan
Yu‐Fung Lin United States
Mui Cheng Liang Singapore
Tomokazu Watano Japan
Cécile Terrenoire United States
Kurt A. Krobert Norway
Changlong Hu China
Han‐Gang Yu relative to Paola Imbrici Italy Paola Imbrici's profile →
Citations per field
00.5×1.6×
Paola Imbrici · 1×
Citations per year

Countries citing papers authored by Han‐Gang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Han‐Gang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Han‐Gang Yu. 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 Han‐Gang Yu. The network helps show where Han‐Gang Yu may publish in the future.

Co-authorship network of co-authors of Han‐Gang Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Han‐Gang Yu. A scholar is included among the top collaborators of Han‐Gang Yu 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 Han‐Gang Yu. Han‐Gang Yu 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 9
2 8
3 18
4 36
5
PP2 Prevents beta-Adrenergic Stimulation of Cardiac Pacemaker Activity
1
6 8
7 19
8 12
9 28
10 24
11 37
12 36
13 32
14 47
15 87
16 28
17 75
18 40
19 368
20 28

About Han‐Gang Yu

Han‐Gang Yu is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience and Molecular Biology, having authored 35 papers that have together received 1.9k indexed citations. Recurring topics across this work include Ion channel regulation and function (27 papers), Cardiac electrophysiology and arrhythmias (24 papers) and Neuroscience and Neuropharmacology Research (10 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.3k citations), Cellular and Molecular Neuroscience (639 citations) and Molecular Biology (1.3k citations). Han‐Gang Yu has collaborated with scholars based in United States, China and Czechia. Frequent co-authors include Ira S. Cohen, David McKinnon, Randy S. Wymore, Jane E. Dixon, Wenmei Shi, Hongsheng Wang, Christine McDonald, Zongming Pan, Michael R. Rosen and Richard B. Robinson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

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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