Rezvan Tavakoli
- Molecular Biology
- Cancer Research top 10%
- Oncology
- Endocrinology, Diabetes and Metabolism
- Biomedical Engineering
- Co-authors
- Masoud SoleimaniMahmood NaderiVahid HaghpanahParviz FallahFatemeh KouhkanBagher LarijaniNaser MobarraMahdi Paryan
- Topics
- MicroRNA in disease regulation (8 papers)Cancer-related molecular mechanisms research (5 papers)interferon and immune responses (4 papers)
- Journals
- Biochemical and Biophysical Research CommunicationsLife SciencesJournal of Medical Genetics
- Partner nations
- IranUnited StatesOman
In The Last Decade
Rezvan Tavakoli
27 papers receiving 341 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 235
- Cancer Research 171
- Oncology 43
- Endocrinology, Diabetes and Metabolism 27
- Biomedical Engineering 26
Countries citing papers authored by Rezvan Tavakoli
This map shows the geographic impact of Rezvan Tavakoli'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 Rezvan Tavakoli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rezvan Tavakoli more than expected).
Fields of papers citing papers by Rezvan Tavakoli
This network shows the impact of papers produced by Rezvan Tavakoli. 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 Rezvan Tavakoli. The network helps show where Rezvan Tavakoli may publish in the future.
Co-authorship network of co-authors of Rezvan Tavakoli
This figure shows the co-authorship network connecting the top 25 collaborators of Rezvan Tavakoli. A scholar is included among the top collaborators of Rezvan Tavakoli 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 Rezvan Tavakoli. Rezvan Tavakoli 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 | 1 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 22 | |
| 9 | 17 | |
| 10 | 34 | |
| 11 | 4 | |
| 12 | 6 | |
| 13 | Precision Medicine Approach to Anaplastic Thyroid Cancer: Advances in Targeted Drug Therapy Based on Specific Signaling Pathways. | 11 |
| 14 | Expression and Purification of a Recombinant Chimeric Protein (3M2e-HA2) Composed of Influenza Virus Hemaglutinin and Matrix Protein Conserved Domain for Universal Subunit Vaccine Development | 3 |
| 15 | 8 | |
| 16 | 19 | |
| 17 | 48 | |
| 18 | 65 | |
| 19 | 1 | |
| 20 | 2 |
About Rezvan Tavakoli
Rezvan Tavakoli is a scholar working on Cancer Research, Developmental Neuroscience and Oncology, having authored 27 papers that have together received 346 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (8 papers), Cancer-related molecular mechanisms research (5 papers) and interferon and immune responses (4 papers). The work is most often cited by research in Cancer Research (171 citations), Molecular Biology (235 citations) and Developmental Neuroscience (11 citations). Rezvan Tavakoli has collaborated with scholars based in Iran, United States and Oman. Frequent co-authors include Masoud Soleimani, Mahmood Naderi, Vahid Haghpanah, Parviz Fallah, Fatemeh Kouhkan, Bagher Larijani, Naser Mobarra, Mahdi Paryan, Seyed Mohammad Ali Hosseini Rad and Masoud Soleimani. Their work appears in journals such as Biochemical and Biophysical Research Communications, Life Sciences and Journal of Medical Genetics.
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.