Lin-Jing Jia
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Adverse Reactions
- Flavonoids in Medical Research
- Drug-Induced Hepatotoxicity and Protection
-
- Eicosanoids and Hypertension Pharmacology
Papers in
- Pharmacology 12
- Pharmacogenetics and Drug Metabolism 9
- Drug-Induced Adverse Reactions 5
- Plant-based Medicinal Research 3
- Flavonoids in Medical Research 3
- Oncology 8
- Drug Transport and Resistance Mechanisms 7
- Co-authors
- Hai–Ling Qiao (18 shared papers)Yan Fang (10 shared papers)Qiang Wen (9 shared papers)Xin Tian (8 shared papers)Jie Gao (8 shared papers)Bing Qi (4 shared papers)Na Gao (4 shared papers)Haifeng Zhang (4 shared papers)
- Journals
- European Journal of Clinical Pharmacology (4 papers)PLoS ONE (3 papers)Oncotarget (2 papers)Journal of Ethnopharmacology (1 paper)Scientific Reports (1 paper)
- Partner nations
- China
In The Last Decade
Lin-Jing Jia
18 papers receiving 502 citations
Peers
Comparison fields: 5 of 76
- Pharmacology 250
- Pharmacology 150
- Biochemistry 41
- Oncology 131
- Hepatology 34
Countries citing papers authored by Lin-Jing Jia
This map shows the geographic impact of Lin-Jing Jia'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 Lin-Jing Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin-Jing Jia more than expected).
Fields of papers citing papers by Lin-Jing Jia
This network shows the impact of papers produced by Lin-Jing Jia. 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 Lin-Jing Jia. The network helps show where Lin-Jing Jia may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin-Jing Jia, 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 | 2015 | 85 | |
| 2 | 2016 | 62 | |
| 3 | 2006 | 41 | |
| 4 | 2016 | 40 | |
| 5 | 2016 | 35 | |
| 6 | 2015 | 32 | |
| 7 | 2014 | 27 | |
| 8 | 2014 | 27 | |
| 9 | 2006 | 25 | |
| 10 | 2013 | 24 | |
| 11 | 2007 | 22 | |
| 12 | 2009 | 21 | |
| 13 | 2006 | 18 | |
| 14 | 2017 | 13 | |
| 15 | 2018 | 13 | |
| 16 | 2008 | 10 | |
| 17 | 2013 | 8 | |
| 18 | 2008 | 4 | |
| 19 | 2025 | 0 | |
| 20 | 2025 | 0 |
About Lin-Jing Jia
Lin-Jing Jia is a scholar working on Pharmacology, Pharmacology, Oncology, Rheumatology and Physiology, having authored 20 papers that have together received 507 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (9 papers), Drug Transport and Resistance Mechanisms (7 papers), Drug-Induced Adverse Reactions (5 papers), Urticaria and Related Conditions (4 papers), Asthma and respiratory diseases (4 papers), Computational Drug Discovery Methods (3 papers), Plant-based Medicinal Research (3 papers) and Flavonoids in Medical Research (3 papers). The work is most often cited by research in Pharmacology (250 citations), Pharmacology (150 citations), Biochemistry (41 citations), Oncology (131 citations) and Hepatology (34 citations). Lin-Jing Jia has collaborated with scholars based in China. Frequent co-authors include Hai–Ling Qiao, Yan Fang, Qiang Wen, Xin Tian, Jie Gao, Bing Qi, Na Gao, Haifeng Zhang, Na Gao and Na Gao. Their work appears in journals such as European Journal of Clinical Pharmacology, PLoS ONE, Oncotarget, Journal of Ethnopharmacology and Scientific Reports.
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.