Deping Wang

533 citations
13 papers · 174 · h-index 7

Impact in

  • Virology top 10%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

Deping Wang

13 papers receiving 172 citations

Peers

Deping Wang
Comparison fields: 5 of 53
  • Virology 78
  • Infectious Diseases 92
  • Epidemiology 32
  • Pharmacology 15
  • Molecular Biology 56
Replace Valerio Gatti with:
Valerio Gatti Italy
Jill R. Cowan United States
W Döll United States
François Paraire France
Léia Cardoso-Sousa Brazil
Carlos Família Portugal
Yogy Simanjuntak Taiwan
Huiguo Lai United States
Guang‐Jin Im South Korea
Bixia Hong China
Deping Wang relative to Valerio Gatti Italy Valerio Gatti's profile →
Citations per field
00.5×1.7×
Valerio Gatti · 1×
Citations per year

Countries citing papers authored by Deping Wang

Since Specialization
Citations

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

Fields of papers citing papers by Deping Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 201488
2 202022
3 201813
4 202213
5 20218
6 20237
7 20176
8 20176
9 20183
10 20243
11 20223
12 20211
13 20251

About Deping Wang

Deping Wang is a scholar working on Molecular Biology, Infectious Diseases, Pharmacology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 13 papers that have together received 174 indexed citations. Recurring topics across this work include Ion channel regulation and function (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Phosphodiesterase function and regulation (3 papers), HIV Research and Treatment (2 papers), HIV/AIDS drug development and treatment (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Virology (78 citations), Infectious Diseases (92 citations), Epidemiology (32 citations), Pharmacology (15 citations) and Molecular Biology (56 citations). Deping Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Jay A. Grobler, Ming‐Tain Lai, Daria J. Hazuda, Meizhen Feng, Michael D. Miller, Yaqin Liu, Peng Zhang, Ji‐Min Cao, Guang Li and Shawn J. Stachel. Their work appears in journals such as ACS Medicinal Chemistry Letters, Bioorganic & Medicinal Chemistry Letters, Journal of Antimicrobial Chemotherapy, International Journal of Biological Macromolecules and Journal of Computer-Aided Molecular Design.

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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