Pingwei Zhao

2.2k citations
58 papers · 1.8k · h-index 22

Impact in

    • Cannabis and Cannabinoid Research
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

Pingwei Zhao

56 papers receiving 1.8k citations

Peers

Pingwei Zhao
Comparison fields: 5 of 101
  • Pharmacology 425
  • Immunology 490
  • Biological Psychiatry 52
  • Cellular and Molecular Neuroscience 401
  • Hepatology 118
Replace Anne Hamik with:
Anne Hamik United States
John Blanchard United States
Guo Huang United Kingdom
Anja Urbach Germany
Yuling Sun China
Jiang Wu China
Anna A. Zmijewska United States
Scott A. Myers United States
Hongwen Zhu China
John McDaid United States
Pingwei Zhao relative to Anne Hamik United States Anne Hamik's profile →
Citations per field
00.5×6.2×
Anne Hamik · 1×
Citations per year

Countries citing papers authored by Pingwei Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Pingwei Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009225
2 2016127
3 2010123
4 2014114
5 2008109
6 201181
7 201471
8 201064
9 201463
10 201160
11 201459
12 201957
13 201557
14 200853
15 201349
16 201348
17 201248
18 201447
19 201246
20 200937

About Pingwei Zhao

Pingwei Zhao is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Immunology, Pharmacology and Epidemiology, having authored 58 papers that have together received 1.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (16 papers), Neuroscience and Neuropharmacology Research (12 papers), Cannabis and Cannabinoid Research (11 papers), Pharmacological Receptor Mechanisms and Effects (9 papers), Neuropeptides and Animal Physiology (8 papers), Hepatitis B Virus Studies (6 papers), T-cell and B-cell Immunology (5 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Pharmacology (425 citations), Immunology (490 citations), Biological Psychiatry (52 citations), Cellular and Molecular Neuroscience (401 citations) and Hepatology (118 citations). Pingwei Zhao has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Mary E. Abood, Yanfang Jiang, Eric C. Beattie, Dmitri Leonoudakis, Haleli Sharir, Ankur Kapur, Yushi Bai, Marc G. Caron, Larry S. Barak and Eugen Brailoiu. Their work appears in journals such as PLoS ONE, Journal of Biological Chemistry, Drug and Alcohol Dependence, ACS Medicinal Chemistry Letters and Clinical and Experimental Pharmacology and Physiology.

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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