Ramin Nazarian
- Molecular Biology top 5%
- Oncology top 2%
- Cell Biology top 2%
- Computational Theory and Mathematics top 1%
- Pathology and Forensic Medicine top 5%
- Co-authors
- Roger S. LoAntoni RibasNarsis AttarEsteban C. Dell’AngelicaRichard C. KoyaQi WangHooman SazegarHubing Shi
- Topics
- Melanoma and MAPK Pathways (7 papers)Protein Degradation and Inhibitors (5 papers)Epigenetics and DNA Methylation (4 papers)
- Partner nations
- United StatesAustraliaItaly
In The Last Decade
Ramin Nazarian
24 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Molecular Biology 2.2k
- Oncology 1.2k
- Cell Biology 465
- Computational Theory and Mathematics 365
- Pathology and Forensic Medicine 301
Countries citing papers authored by Ramin Nazarian
This map shows the geographic impact of Ramin Nazarian'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 Ramin Nazarian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramin Nazarian more than expected).
Fields of papers citing papers by Ramin Nazarian
This network shows the impact of papers produced by Ramin Nazarian. 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 Ramin Nazarian. The network helps show where Ramin Nazarian may publish in the future.
Co-authorship network of co-authors of Ramin Nazarian
This figure shows the co-authorship network connecting the top 25 collaborators of Ramin Nazarian. A scholar is included among the top collaborators of Ramin Nazarian 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 Ramin Nazarian. Ramin Nazarian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 3 | |
| 3 | Aberrant apoptotic machinery confers melanoma dual resistance to BRAF(V600E) inhibitor and immune effector cells: immunosensitization by a histone deacetylase inhibitor. | 27 |
| 4 | 2 | |
| 5 | Role of miR-18b/MDM2/p53 circuitry in melanoma progression. | 6 |
| 6 | TFPI2 methylation can serve as an epigenetic biomarker of metastatic melanoma. | 2 |
| 7 | 75 | |
| 8 | 183 | |
| 9 | Melanomas acquire resistance to B-RAF(V600E) inhibition by RTK or N-RAS upregulationbreakdown → | 1614 |
| 10 | 171 | |
| 11 | 124 | |
| 12 | 16 | |
| 13 | 57 | |
| 14 | 158 | |
| 15 | 103 | |
| 16 | 49 | |
| 17 | 37 | |
| 18 | 20 | |
| 19 | 35 | |
| 20 | 84 |
About Ramin Nazarian
Ramin Nazarian is a scholar working on Aging, Immunology and Allergy and Cell Biology, having authored 24 papers that have together received 2.8k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (7 papers), Protein Degradation and Inhibitors (5 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Oncology (1.2k citations), Molecular Biology (2.2k citations) and Cell Biology (465 citations). Ramin Nazarian has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include Roger S. Lo, Antoni Ribas, Narsis Attar, Esteban C. Dell’Angelica, Richard C. Koya, Qi Wang, Hooman Sazegar, Hubing Shi, Xiangju Kong and Jeffrey A. Sosman. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.
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.