Ging Kuo Wang

4.2k citations
90 papers · 3.6k · h-index 38

Impact in

Papers in

Ging Kuo Wang

90 papers receiving 3.4k citations

Peers

Ging Kuo Wang
Comparison fields: 5 of 102
  • Sensory Systems 349
  • Cellular and Molecular Neuroscience 1.2k
  • Physiology 965
  • Cardiology and Cardiovascular Medicine 664
  • Anesthesiology and Pain Medicine 155
Replace J. Paul Hieble with:
J. Paul Hieble United States
Keith Bley United States
Riccardo Zucchi Italy
H. Kilbinger Germany
C. Norman Scholfield United Kingdom
Jérôme Busserolles France
Andrew J. Mannes United States
Carla Nau Germany
Kurt Racké Germany
Heinz Bönisch Germany
Ging Kuo Wang relative to J. Paul Hieble United States J. Paul Hieble's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ging Kuo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ging Kuo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ging Kuo 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 Ging Kuo Wang. The network helps show where Ging Kuo Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002210
2 1998158
3 2003131
4 2001110
5 2004102
6 1998101
7 200299
8 200095
9 199295
10 199991
11 200991
12 200186
13 200086
14 199978
15 200771
16 200371
17 201067
18 200067
19 200360
20 200158

About Ging Kuo Wang

Ging Kuo Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Physiology and Surgery, having authored 90 papers that have together received 3.6k indexed citations. Recurring topics across this work include Ion channel regulation and function (49 papers), Neuroscience and Neuropharmacology Research (33 papers), Cardiac electrophysiology and arrhythmias (27 papers), Pain Mechanisms and Treatments (23 papers), Anesthesia and Pain Management (9 papers), Neuroscience and Neural Engineering (7 papers), Receptor Mechanisms and Signaling (4 papers) and Nicotinic Acetylcholine Receptors Study (4 papers). The work is most often cited by research in Sensory Systems (349 citations), Cellular and Molecular Neuroscience (1.2k citations), Physiology (965 citations), Cardiology and Cardiovascular Medicine (664 citations) and Anesthesiology and Pain Medicine (155 citations). Ging Kuo Wang has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include Sho‐Ya Wang, Peter Gerner, Carla Nau, Gary R. Strichartz, Alexander Leaf, Yong‐Fu Xiao, Sterling N. Wright, Jane Mitchell, James P. Morgan and Khan Ma. Their work appears in journals such as Anesthesiology, Regional Anesthesia & Pain Medicine, Molecular Pharmacology, Biophysical Journal and Anesthesia & Analgesia.

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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