Jingjing Yu
- Pharmacology top 1%
- Oncology top 10%
- Pediatrics, Perinatology and Child Health top 5%
- Molecular Biology
- Pharmacology top 10%
- Co-authors
- Isabelle Ragueneau‐MajlessiNina IsoherranenJennifer E. SagerRené H. LevyZhu ZhouTasha K. RitchieYan WangAditi Mulgaonkar
- Topics
- Pharmacogenetics and Drug Metabolism (12 papers)Drug Transport and Resistance Mechanisms (11 papers)Pharmacological Effects and Toxicity Studies (8 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Jingjing Yu
22 papers receiving 828 citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Pharmacology 349
- Oncology 306
- Pediatrics, Perinatology and Child Health 198
- Molecular Biology 160
- Pharmacology 104
Countries citing papers authored by Jingjing Yu
This map shows the geographic impact of Jingjing Yu'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 Jingjing Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingjing Yu more than expected).
Fields of papers citing papers by Jingjing Yu
This network shows the impact of papers produced by Jingjing Yu. 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 Jingjing Yu. The network helps show where Jingjing Yu may publish in the future.
Co-authorship network of co-authors of Jingjing Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Jingjing Yu. A scholar is included among the top collaborators of Jingjing Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jingjing Yu. Jingjing Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 16 | |
| 6 | 28 | |
| 7 | 11 | |
| 8 | 4 | |
| 9 | 11 | |
| 10 | 4 | |
| 11 | 29 | |
| 12 | 3 | |
| 13 | 70 | |
| 14 | 72 | |
| 15 | 1 | |
| 16 | 96 | |
| 17 | Research progress in anti-cardiovascular and cerebrovascular disease activity of Citri Reticulatae Pericarpium | 3 |
| 18 | 38 | |
| 19 | Physiologically Based Pharmacokinetic (PBPK) Modeling and Simulation Approaches: A Systematic Review of Published Models, Applications, and Model Verificationbreakdown → | 384 |
| 20 | 42 |
About Jingjing Yu
Jingjing Yu is a scholar working on Pharmacology, Pediatrics, Perinatology and Child Health and Oncology, having authored 23 papers that have together received 852 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (12 papers), Drug Transport and Resistance Mechanisms (11 papers) and Pharmacological Effects and Toxicity Studies (8 papers). The work is most often cited by research in Pharmacology (349 citations), Oncology (306 citations) and Pharmaceutical Science (64 citations). Jingjing Yu has collaborated with scholars based in United States, China and France. Frequent co-authors include Isabelle Ragueneau‐Majlessi, Nina Isoherranen, Jennifer E. Sager, René H. Levy, Zhu Zhou, Tasha K. Ritchie, Yan Wang, Aditi Mulgaonkar, Anna Nordmark and Olajide E. Olaleye. Their work appears in journals such as Scientific Reports, Journal of Pharmaceutical Sciences and Clinical Pharmacology & Therapeutics.
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.