Xinning Yang

1.9k citations
36 papers · 1.2k · h-index 15

Impact in

    • Pharmacogenetics and Drug Metabolism
    • Drug-Induced Hepatotoxicity and Protection
  • Oncology top 5%
    • Drug Transport and Resistance Mechanisms

Papers in

Xinning Yang

36 papers receiving 1.1k citations

Peers

Xinning Yang
Comparison fields: 5 of 101
  • Pharmacology 287
  • Oncology 640
  • Pediatrics, Perinatology and Child Health 255
  • Biochemistry 66
  • Pharmaceutical Science 61
Replace John Litchfield with:
John Litchfield United States
Ken‐ichi Fujita Japan
Mikio Kakumoto Japan
Yuan Chen United States
Ajai K. Chaudhary United States
Yoh Takekuma Japan
Michael Török Switzerland
Masayuki Tsujimoto Japan
Viviane Meunier France
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Citations per field
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Citations per year

Countries citing papers authored by Xinning Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xinning Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004300
2 2005155
3 2004110
4 200985
5 201771
6 201765
7 201954
8 200547
9 202039
10 202238
11 202223
12 201923
13 202022
14 202018
15 202216
16 202111
17
Cloning, localization, and functional expression of a human brain inward rectifier potassium channel (hIRK1).
199511
18 20209
19 20219
20 20108

About Xinning Yang

Xinning Yang is a scholar working on Oncology, Pediatrics, Perinatology and Child Health, Pharmacology, Public Health, Environmental and Occupational Health and Surgery, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (19 papers), Pharmacological Effects and Toxicity Studies (13 papers), Pharmacogenetics and Drug Metabolism (12 papers), Pharmaceutical studies and practices (4 papers), Pregnancy and Medication Impact (4 papers), Drug Solubulity and Delivery Systems (3 papers), Computational Drug Discovery Methods (3 papers) and Trace Elements in Health (3 papers). The work is most often cited by research in Pharmacology (287 citations), Oncology (640 citations), Pediatrics, Perinatology and Child Health (255 citations), Biochemistry (66 citations) and Pharmaceutical Science (61 citations). Xinning Yang has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Marilyn E. Morris, Shuzhong Zhang, Robert A. Coburn, Yash Gandhi, Vikram Arya, David B. Duignan, John O. Miners, Lei Zhang, Donna A. Volpe and Lei Zhang. Their work appears in journals such as Clinical Pharmacology & Therapeutics, The Journal of Clinical Pharmacology, The AAPS Journal, CPT Pharmacometrics & Systems Pharmacology and Drug Metabolism and Disposition.

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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