Yaning Wang
Impact in
- Statistics and Probability top 0.5%
- Statistical Methods in Clinical Trials
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism
- Antibiotics Pharmacokinetics and Efficacy
Papers in
-
- Statistical Methods in Clinical Trials 29
- Pharmacology 19
- Pharmacogenetics and Drug Metabolism 18
- Antibiotics Pharmacokinetics and Efficacy 8
- Co-authors
- Issam ZinehShiew‐Mei HuangHao ZhuYuching YangXinyuan ZhangJogarao GobburuRajanikanth MadabushiChristine Garnett
- Journals
- The Journal of Clinical Pharmacology (25 papers)Clinical Pharmacology & Therapeutics (22 papers)Journal of Pharmacokinetics and Pharmacodynamics (11 papers)Journal of Pharmaceutical Sciences (7 papers)The AAPS Journal (5 papers)
- Partner nations
- United StatesChinaThailand
In The Last Decade
Yaning Wang
112 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Statistics and Probability 533
- Pharmacology 547
- Pediatrics, Perinatology and Child Health 559
- Pharmacology 380
- Oncology 591
Countries citing papers authored by Yaning Wang
This map shows the geographic impact of Yaning 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 Yaning Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaning Wang more than expected).
Fields of papers citing papers by Yaning Wang
This network shows the impact of papers produced by Yaning 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 Yaning Wang. The network helps show where Yaning Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yaning Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 5 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 22 | |
| 10 | 2023 | 6 | |
| 11 | 2022 | 1 | |
| 12 | 2022 | 9 | |
| 13 | 2021 | 13 | |
| 14 | 2018 | 15 | |
| 15 | 2017 | 124 | |
| 16 | 2017 | 170 | |
| 17 | 2014 | 3 | |
| 18 | 2013 | 160 | |
| 19 | 2011 | 6 | |
| 20 | 1999 | 35 |
About Yaning Wang
Yaning Wang is a scholar working on Statistics and Probability, Pharmacology, Pediatrics, Perinatology and Child Health, Immunology and Family Practice, having authored 117 papers that have together received 3.4k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (29 papers), Pharmaceutical studies and practices (24 papers), Pharmacogenetics and Drug Metabolism (18 papers), Health Systems, Economic Evaluations, Quality of Life (17 papers), Biosimilars and Bioanalytical Methods (15 papers), Computational Drug Discovery Methods (9 papers), Antibiotics Pharmacokinetics and Efficacy (8 papers) and Pharmaceutical Economics and Policy (6 papers). The work is most often cited by research in Statistics and Probability (533 citations), Pharmacology (547 citations), Pediatrics, Perinatology and Child Health (559 citations), Pharmacology (380 citations) and Oncology (591 citations). Yaning Wang has collaborated with scholars based in United States, China and Thailand. Frequent co-authors include Issam Zineh, Shiew‐Mei Huang, Hao Zhu, Yuching Yang, Xinyuan Zhang, Jogarao Gobburu, Rajanikanth Madabushi, Christine Garnett, Pravin Jadhav and Manuela Grimstein. Their work appears in journals such as The Journal of Clinical Pharmacology, Clinical Pharmacology & Therapeutics, Journal of Pharmacokinetics and Pharmacodynamics, Journal of Pharmaceutical Sciences and The AAPS Journal.
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.