Shwun‐De Wang

495 citations
9 papers · 424 indexed · h-index 8

Impact in

Papers in

Shwun‐De Wang

9 papers receiving 417 citations

Peers

Shwun‐De Wang
Comparison fields: 5 of 70
  • Developmental Neuroscience 62
  • Cellular and Molecular Neuroscience 252
  • Endocrine and Autonomic Systems 54
  • Physiology 99
  • Pathology and Forensic Medicine 58
Replace T. R. Tölle with:
T. R. Tölle Germany
Baohan Pan United States
Jean-Louis Molat France
Bertalan Csillik Hungary
Séverine Stamboulian France
D. Blaine Moore United States
Mehdi Hossaini Netherlands
Barbara A. Barron United States
Perrine Inquimbert France
Robert Kerr United Kingdom
Shwun‐De Wang relative to T. R. Tölle Germany T. R. Tölle's profile →
Citations per field
00.5×1.6×
T. R. Tölle · 1×
Citations per year

Countries citing papers authored by Shwun‐De Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shwun‐De Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shwun‐De 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 Shwun‐De Wang. The network helps show where Shwun‐De Wang may publish in the future.

Co-authors

The 15 scholars most cited alongside Shwun‐De 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 Shwun‐De Wang Line = papers co-authored together Shwun‐De Wang links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 20143
2 200418
3 200342
4 2002149
5 199913
6 199329
7 199174
8 199116
9 199080

About Shwun‐De Wang

Shwun‐De Wang is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Speech and Hearing, Small Animals and Neurology, having authored 9 papers that have together received 424 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Spinal Cord Injury Research (2 papers), Nerve injury and regeneration (2 papers), Pancreatic function and diabetes (1 paper), Cardiovascular, Neuropeptides, and Oxidative Stress Research (1 paper), Nitric Oxide and Endothelin Effects (1 paper) and Pain Mechanisms and Treatments (1 paper). The work is most often cited by research in Developmental Neuroscience (62 citations), Cellular and Molecular Neuroscience (252 citations), Endocrine and Autonomic Systems (54 citations), Physiology (99 citations) and Pathology and Forensic Medicine (58 citations). Shwun‐De Wang has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Marisela Morales, Marion Murray, Michael E. Goldberger, Pat Levitt, Oscar Dı́az-Ruiz, Hui‐Ching Lin, Ching‐Jiunn Tseng, Che‐Se Tung, Hsing I. Chen and Jia‐Yi Wang. Their work appears in journals such as The Journal of Comparative Neurology, Experimental Neurology, Journal of Neuroscience, Clinical and Experimental Pharmacology and Physiology and The Laryngoscope.

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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