Ge-xin Wang

1.1k citations
16 papers · 906 indexed · h-index 12

Ge-xin Wang

16 papers receiving 899 citations

Peers

Ge-xin Wang
Comparison fields: 5 of 85
  • Cardiology and Cardiovascular Medicine 314
  • Sensory Systems 56
  • Cellular and Molecular Neuroscience 205
  • Physiology 257
  • Molecular Biology 672
Replace Odile Clément‐Chomienne with:
Odile Clément‐Chomienne Canada
Florian Lang Germany
Abderrahmane Alioua United States
K Saida Japan
Yukio Hirata Japan
Bahman Aghdasi United States
Nanna K. Jørgensen Denmark
Elaine F. Etter United States
Hideto Oyamada Japan
Isabelle Limon France
Ge-xin Wang relative to Odile Clément‐Chomienne Canada Odile Clément‐Chomienne's profile →
Citations per field
00.5×1.5×
Odile Clément‐Chomienne · 1×
Citations per year

Countries citing papers authored by Ge-xin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ge-xin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ge-xin Wang. 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 Ge-xin Wang. The network helps show where Ge-xin Wang may publish in the future.

Co-authorship network

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

All Works

16 of 16 papers shown
#Work
1 20098
2 200817
3 200518
4 200422
5 200432
6 200478
7 200369
8
Regulation of volume-sensitive anion channels in pulmonary arterial smooth muscel cells by PKC
20032
9 20021
10 200231
11 200137
12 2001111
13 2000368
14 200035
15 200069
16 19998

About Ge-xin Wang

Ge-xin Wang is a scholar working on Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Physiology, Molecular Biology and Biophysics, having authored 16 papers that have together received 906 indexed citations. Recurring topics across this work include Ion channel regulation and function (14 papers), Cardiac electrophysiology and arrhythmias (9 papers), Neuroscience and Neuropharmacology Research (5 papers), Ion Transport and Channel Regulation (5 papers), Nitric Oxide and Endothelin Effects (2 papers), Neuroscience and Neural Engineering (2 papers), Adenosine and Purinergic Signaling (1 paper) and Protein Kinase Regulation and GTPase Signaling (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (314 citations), Sensory Systems (56 citations), Cellular and Molecular Neuroscience (205 citations), Physiology (257 citations) and Molecular Biology (672 citations). Ge-xin Wang has collaborated with scholars based in United States, Germany and India. Frequent co-authors include Michael Korth, Peter Ruth, Joseph R. Hume, Xiaobo Zhou, Jens Schlossmann, Xiangang Zong, Aldo Ammendola, Franz Hofmann, Andrea B. Huber and Keith Ashman. Their work appears in journals such as The Journal of Physiology, American Journal of Physiology-Heart and Circulatory Physiology, American Journal of Physiology-Cell Physiology, Advances in experimental medicine and biology and Journal of Biological Chemistry.

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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