Daqing Wang

11.4k citations
229 papers · 8.6k · 2 hit papers · h-index 49

Impact in

Papers in

    • Receptor Mechanisms and Signaling 23
    • Immune Response and Inflammation 23
    • Immune Cell Function and Interaction 15
    • Immunotherapy and Immune Responses 10

Daqing Wang

222 papers receiving 8.4k citations

Daqing Wang's Hit Papers

Pharmacogenomics: Driving Personalized Medicine 2023 · 99 citations
990+3+7Years since publication100200300400500

Peers

Daqing Wang
Comparison fields: 5 of 189
  • Transplantation 461
  • Pharmacology 1.1k
  • Cellular and Molecular Neuroscience 1.7k
  • Anesthesiology and Pain Medicine 226
  • Molecular Biology 2.8k
Replace Thomas Unger with:
Thomas Unger Germany
Dominik N. Müller Germany
James R. Bain United States
Jian Wang China
John C. Burnett United States
Hong Liu China
James H. Clark United States
Hirofumi Makino Japan
Kenneth M. Taylor United Kingdom
Dong Zhang China
Daqing Wang relative to Thomas Unger Germany Thomas Unger's profile →
Citations per field
00.5×8.1×
Thomas Unger · 1×
Citations per year

Countries citing papers authored by Daqing Wang

Since Specialization
Citations

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

Fields of papers citing papers by Daqing Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 229 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Clinical Pharmacogenetics Implementation Consortium (CPIC) Guidelines for CYP3A5 Genotype and Tacrolimus Dosing
Hit paper breakdown →
2015512
2 2005457
3 2010410
4 2005409
5 2014353
6 2007335
7 2016318
8 1995230
9 2008151
10 2008142
11 2013137
12 2005122
13 2010115
14 2008110
15 1999109
16 2001108
17 2001107
18
Pharmacogenomics: Driving Personalized Medicine
Hit paper breakdown →
202399
19 200695
20 199688

About Daqing Wang

Daqing Wang is a scholar working on Molecular Biology, Immunology, Pharmacology, Oncology and Cellular and Molecular Neuroscience, having authored 229 papers that have together received 8.6k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (31 papers), Immune Response and Inflammation (23 papers), Receptor Mechanisms and Signaling (23 papers), Neuropeptides and Animal Physiology (17 papers), Immune Cell Function and Interaction (15 papers), Drug Transport and Resistance Mechanisms (12 papers), Immunotherapy and Immune Responses (10 papers) and Antimicrobial Peptides and Activities (8 papers). The work is most often cited by research in Transplantation (461 citations), Pharmacology (1.1k citations), Cellular and Molecular Neuroscience (1.7k citations), Anesthesiology and Pain Medicine (226 citations) and Molecular Biology (2.8k citations). Daqing Wang has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Wolfgang Sadée, Audrey C. Papp, Andrew D. Johnson, Sudhir Agrawal, Ying Zhang, Yingying Guo, Ekambar R. Kandimalla, Deanna L. Kroetz, Steven Wrighton and Edward J. Bilsky. Their work appears in journals such as Pharmacogenetics and Genomics, PLoS ONE, Proceedings of the National Academy of Sciences, Journal of Medicinal Chemistry and Cancer Research.

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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