Vemparala Subbarayan
- Molecular Biology top 10%
- Genetics top 10%
- Cancer Research
- Immunology
- Pharmacology top 10%
- Co-authors
- Pierre ChambonKaren NiederreitherPascal DolléDavid G. MenterScott M. LippmanNorma LlansaAnita L. SabichiM.R. Sairam
- Topics
- Inflammatory mediators and NSAID effects (7 papers)Estrogen and related hormone effects (5 papers)Peroxisome Proliferator-Activated Receptors (5 papers)
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Vemparala Subbarayan
12 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Molecular Biology 996
- Genetics 334
- Cancer Research 152
- Immunology 141
- Pharmacology 137
Countries citing papers authored by Vemparala Subbarayan
This map shows the geographic impact of Vemparala Subbarayan'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 Vemparala Subbarayan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vemparala Subbarayan more than expected).
Fields of papers citing papers by Vemparala Subbarayan
This network shows the impact of papers produced by Vemparala Subbarayan. 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 Vemparala Subbarayan. The network helps show where Vemparala Subbarayan may publish in the future.
Co-authorship network of co-authors of Vemparala Subbarayan
This figure shows the co-authorship network connecting the top 25 collaborators of Vemparala Subbarayan. A scholar is included among the top collaborators of Vemparala Subbarayan 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 Vemparala Subbarayan. Vemparala Subbarayan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 56 | |
| 3 | Peroxisome proliferator-activated receptor-gamma suppresses cyclooxygenase-2 expression in human prostate cells. | 21 |
| 4 | 32 | |
| 5 | 20 | |
| 6 | 37 | |
| 7 | Differential expression of cyclooxygenase-2 and its regulation by tumor necrosis factor-alpha in normal and malignant prostate cells. | 103 |
| 8 | 51 | |
| 9 | Embryonic retinoic acid synthesis is essential for early mouse post-implantation developmentbreakdown → | 867 |
| 10 | 32 | |
| 11 | 31 | |
| 12 | 8 |
About Vemparala Subbarayan
Vemparala Subbarayan is a scholar working on Pharmacology, Toxicology and Cancer Research, having authored 12 papers that have together received 1.3k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (7 papers), Estrogen and related hormone effects (5 papers) and Peroxisome Proliferator-Activated Receptors (5 papers). The work is most often cited by research in Biochemistry (108 citations), Molecular Biology (996 citations) and Developmental Neuroscience (58 citations). Vemparala Subbarayan has collaborated with scholars based in United States, France and Australia. Frequent co-authors include Pierre Chambon, Karen Niederreither, Pascal Dollé, David G. Menter, Scott M. Lippman, Norma Llansa, Anita L. Sabichi, M.R. Sairam, Pierre Chambon and Philippe Kastner. Their work appears in journals such as Journal of Clinical Investigation, Nature Genetics and Oncogene.
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.