Ge‐Xin Wang

16 papers receiving 904 citations

Peers

Ge‐Xin Wang
Comparison fields: 5 of 83
  • Cardiology and Cardiovascular Medicine 291
  • Sensory Systems 53
  • Cellular and Molecular Neuroscience 195
  • Physiology 237
  • Molecular Biology 639
Replace Abderrahmane Alioua with:
Abderrahmane Alioua United States
Florian Lang Germany
K Saida Japan
Nanna K. Jørgensen Denmark
Elaine F. Etter United States
Jin O‐Uchi United States
Hideto Oyamada Japan
Isabelle Limon France
A. Lepple-Wienhues Germany
Eun‐A Ko South Korea
Ge‐Xin Wang relative to Abderrahmane Alioua United States Abderrahmane Alioua's profile →
Citations per field
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Abderrahmane Alioua · 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-authors

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 2000371
2 2001111
3 200479
4 200370
5 200069
6 200137
7 200035
8 200432
9 200231
10 200422
11 200518
12 200817
13 19998
14 20098
15
Regulation of volume-sensitive anion channels in pulmonary arterial smooth muscel cells by PKC
20032
16 20021

About Ge‐Xin Wang

Ge‐Xin Wang is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cellular and Molecular Neuroscience, Physiology and Organic Chemistry, having authored 16 papers that have together received 911 indexed citations. Recurring topics across this work include Ion channel regulation and function (14 papers), Cardiac electrophysiology and arrhythmias (9 papers), Ion Transport and Channel Regulation (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Nitric Oxide and Endothelin Effects (2 papers), Neuroscience and Neural Engineering (2 papers), Coordination Chemistry and Organometallics (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (291 citations), Sensory Systems (53 citations), Cellular and Molecular Neuroscience (195 citations), Physiology (237 citations) and Molecular Biology (639 citations). Ge‐Xin Wang has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Michael Korth, Peter Ruth, Joseph R. Hume, Xiaobo Zhou, Keith Ashman, Gitte Neubauer, Xiangang Zong, Franz Hofmann, Andrea B. Huber and Jens Schlossmann. 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, Journal of Biological Chemistry and Nature.

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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