Juan Mestre
- Pharmacology top 1%
- Molecular Biology
- Genetics top 5%
- Oncology top 10%
- Cancer Research top 10%
- Co-authors
- Andrew J. DannenbergKotha SubbaramaiahNasser K. AltorkiTadashi TanabePhilip P. StapletonPeter G. SacksJ.M. DalyWen Jing Chung
- Topics
- Inflammatory mediators and NSAID effects (16 papers)Estrogen and related hormone effects (11 papers)Eicosanoids and Hypertension Pharmacology (3 papers)
- Partner nations
- United StatesJapanSpain
In The Last Decade
Juan Mestre
26 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 109
- Pharmacology 782
- Molecular Biology 625
- Genetics 398
- Oncology 359
- Cancer Research 283
Countries citing papers authored by Juan Mestre
This map shows the geographic impact of Juan Mestre'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 Juan Mestre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Mestre more than expected).
Fields of papers citing papers by Juan Mestre
This network shows the impact of papers produced by Juan Mestre. 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 Juan Mestre. The network helps show where Juan Mestre may publish in the future.
Co-authorship network of co-authors of Juan Mestre
This figure shows the co-authorship network connecting the top 25 collaborators of Juan Mestre. A scholar is included among the top collaborators of Juan Mestre 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 Juan Mestre. Juan Mestre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 36 | |
| 4 | 64 | |
| 5 | 8 | |
| 6 | 18 | |
| 7 | 37 | |
| 8 | 36 | |
| 9 | 134 | |
| 10 | 21 | |
| 11 | 20 | |
| 12 | 72 | |
| 13 | 42 | |
| 14 | Thalidomide and its analogues inhibit lipopolysaccharide-mediated Iinduction of cyclooxygenase-2. | 109 |
| 15 | 28 | |
| 16 | 247 | |
| 17 | 297 | |
| 18 | Inhibitory effects of caffeic acid phenethyl ester on the activity and expression of cyclooxygenase-2 in human oral epithelial cells and in a rat model of inflammation. | 334 |
| 19 | 8 | |
| 20 | Retinoids suppress epidermal growth factor-induced transcription of cyclooxygenase-2 in human oral squamous carcinoma cells. | 127 |
About Juan Mestre
Juan Mestre is a scholar working on Pharmacology, Biochemistry and Genetics, having authored 27 papers that have together received 2.0k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (16 papers), Estrogen and related hormone effects (11 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). The work is most often cited by research in Pharmacology (782 citations), Molecular Medicine (177 citations) and Cancer Research (283 citations). Juan Mestre has collaborated with scholars based in United States, Japan and Spain. Frequent co-authors include Andrew J. Dannenberg, Kotha Subbaramaiah, Nasser K. Altorki, Tadashi Tanabe, Philip P. Stapleton, Peter G. Sacks, J.M. Daly, Wen Jing Chung, Fan Zhang and Peter J. Mackrell. Their work appears in journals such as Journal of Biological Chemistry, FEBS Letters and Annals of the New York Academy of Sciences.
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.