Li Gong
- Pharmacology top 0.05%
- Molecular Biology top 5%
- Oncology top 5%
- Pediatrics, Perinatology and Child Health top 1%
- Genetics top 2%
- Co-authors
- Teri E. KleinRuss B. AltmanMichelle Whirl‐CarrilloCaroline F. ThornKatrin SangkuhlJoan M. HebertEllen M. McDonaghClifford Nass
- Topics
- Pharmacogenetics and Drug Metabolism (16 papers)Genomics and Rare Diseases (6 papers)Inflammatory mediators and NSAID effects (6 papers)
- Journals
- Nucleic Acids ResearchNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United StatesChinaSweden
In The Last Decade
Li Gong
79 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Pharmacology 2.4k
- Molecular Biology 1.6k
- Oncology 845
- Pediatrics, Perinatology and Child Health 842
- Genetics 742
Countries citing papers authored by Li Gong
This map shows the geographic impact of Li Gong'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 Li Gong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Gong more than expected).
Fields of papers citing papers by Li Gong
This network shows the impact of papers produced by Li Gong. 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 Li Gong. The network helps show where Li Gong may publish in the future.
Co-authorship network of co-authors of Li Gong
This figure shows the co-authorship network connecting the top 25 collaborators of Li Gong. A scholar is included among the top collaborators of Li Gong 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 Li Gong. Li Gong 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 | 2 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 9 | |
| 9 | 8 | |
| 10 | An Evidence‐Based Framework for Evaluating Pharmacogenomics Knowledge for Personalized Medicinebreakdown → | 410 |
| 11 | 1 | |
| 12 | 19 | |
| 13 | 13 | |
| 14 | 27 | |
| 15 | 6 | |
| 16 | 153 | |
| 17 | Metformin pathwaysbreakdown → | 380 |
| 18 | Clinical Pharmacogenetics Implementation Consortium Guidelines for CYP2C9 and VKORC1 Genotypes and Warfarin Dosingbreakdown → | 473 |
| 19 | 71 | |
| 20 | 90 |
About Li Gong
Li Gong is a scholar working on Pharmacology, Pharmacology and Social Psychology, having authored 85 papers that have together received 6.3k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (16 papers), Genomics and Rare Diseases (6 papers) and Inflammatory mediators and NSAID effects (6 papers). The work is most often cited by research in Pharmacology (2.4k citations), Pediatrics, Perinatology and Child Health (842 citations) and Pharmacology (664 citations). Li Gong has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Teri E. Klein, Russ B. Altman, Michelle Whirl‐Carrillo, Caroline F. Thorn, Katrin Sangkuhl, Joan M. Hebert, Ellen M. McDonagh, Clifford Nass, Mia Wadelius and Kathleen M. Giacomini. Their work appears in journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.
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.