Jun-Lan Wang
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
-
- Environmental Toxicology and Ecotoxicology
- Toxic Organic Pollutants Impact
Papers in
-
- Pharmacogenetics and Drug Metabolism 5
-
- Reproductive biology and impacts on aquatic species 3
- Co-authors
- Donald R. Buhler (9 shared papers)Cristobal L. Miranda (8 shared papers)N. Birbilis (3 shared papers)Xiao-Bo CHEN (3 shared papers)Carol J. Marcus (2 shared papers)William B. Jakoby (2 shared papers)Marilyn C. Henderson (5 shared papers)Yea‐Huey Yang (2 shared papers)
- Journals
- Biochemical Pharmacology (3 papers)Toxicology (2 papers)Marine Environmental Research (2 papers)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)Biology of Reproduction (1 paper)
- Partner nations
- United StatesAustraliaChina
In The Last Decade
Jun-Lan Wang
18 papers receiving 341 citations
Peers
Comparison fields: 5 of 45
- Pharmacology 106
- Health, Toxicology and Mutagenesis 69
- Biomaterials 56
- Reproductive Medicine 26
- Physiology 9
Countries citing papers authored by Jun-Lan Wang
This map shows the geographic impact of Jun-Lan 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 Jun-Lan Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun-Lan Wang more than expected).
Fields of papers citing papers by Jun-Lan Wang
This network shows the impact of papers produced by Jun-Lan 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 Jun-Lan Wang. The network helps show where Jun-Lan Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun-Lan 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 | 1991 | 58 | |
| 2 | 1980 | 49 | |
| 3 | 2015 | 38 | |
| 4 | 2015 | 36 | |
| 5 | 1998 | 35 | |
| 6 | 1990 | 31 | |
| 7 | 1979 | 23 | |
| 8 | 2008 | 22 | |
| 9 | 2014 | 18 | |
| 10 | 1981 | 17 | |
| 11 | 1978 | 9 | |
| 12 | 1986 | 8 | |
| 13 | 1995 | 6 | |
| 14 | 1983 | 5 | |
| 15 | 1983 | 3 | |
| 16 | 1995 | 2 | |
| 17 | 2012 | 2 | |
| 18 | 2020 | 2 |
About Jun-Lan Wang
Jun-Lan Wang is a scholar working on Pharmacology, Physiology, Biomaterials, Health, Toxicology and Mutagenesis and Molecular Biology, having authored 18 papers that have together received 364 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (5 papers), Reproductive biology and impacts on aquatic species (3 papers), Magnesium Alloys: Properties and Applications (3 papers), Environmental Toxicology and Ecotoxicology (2 papers), Porphyrin Metabolism and Disorders (2 papers), Phytochemistry and Biological Activities (1 paper), Pesticide Exposure and Toxicity (1 paper) and Plant Toxicity and Pharmacological Properties (1 paper). The work is most often cited by research in Pharmacology (106 citations), Health, Toxicology and Mutagenesis (69 citations), Biomaterials (56 citations), Reproductive Medicine (26 citations) and Physiology (9 citations). Jun-Lan Wang has collaborated with scholars based in United States, Australia and China. Frequent co-authors include Donald R. Buhler, Cristobal L. Miranda, N. Birbilis, Xiao-Bo CHEN, Carol J. Marcus, William B. Jakoby, Marilyn C. Henderson, Yea‐Huey Yang, Ronald D. Sekura and Donald T. Stephens. Their work appears in journals such as Biochemical Pharmacology, Toxicology, Marine Environmental Research, Methods in enzymology on CD-ROM/Methods in enzymology and Biology of Reproduction.
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.