Pantea Izadi
- Co-authors
- Javad Tavakkoly‐BazzazMehrdad NoruziniaMohammad Ali ZaimyHakim AziziNegin SaffarzadehShahram TorkamandiHossein PourghadamyariAli Mohammadi
- Topics
- Epigenetics and DNA Methylation (12 papers)Nutrition, Genetics, and Disease (8 papers)SARS-CoV-2 and COVID-19 Research (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEScientific Reports
- Partner nations
- IranFinlandUnited States
In The Last Decade
Pantea Izadi
56 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 107
- Molecular Biology 545
- Cancer Research 196
- Oncology 120
- Epidemiology 105
- Genetics 94
Countries citing papers authored by Pantea Izadi
This map shows the geographic impact of Pantea Izadi'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 Pantea Izadi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pantea Izadi more than expected).
Fields of papers citing papers by Pantea Izadi
This network shows the impact of papers produced by Pantea Izadi. 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 Pantea Izadi. The network helps show where Pantea Izadi may publish in the future.
Co-authorship network of co-authors of Pantea Izadi
This figure shows the co-authorship network connecting the top 25 collaborators of Pantea Izadi. A scholar is included among the top collaborators of Pantea Izadi 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 Pantea Izadi. Pantea Izadi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 0 | |
| 3 | 20 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 24 | |
| 7 | 5 | |
| 8 | 30 | |
| 9 | 22 | |
| 10 | 17 | |
| 11 | 26 | |
| 12 | 11 | |
| 13 | 18 | |
| 14 | 208 | |
| 15 | 11 | |
| 16 | 10 | |
| 17 | Promoter Hypermethylation of Estrogen Receptor Alpha Gene Is Correlated to Estrogen Receptor Negativity in Iranian Patients with Sporadic Breast Cancer | 8 |
| 18 | 12 | |
| 19 | Study of relationship between IL-1Ra gene polymorphism and GVHD in HLA – identical sibling allogenic transplants | 3 |
| 20 | Original paper Study of relationship between IL-1Ra gene polymorphism and GVHD in HLA – identical sibling allogenic transplants | 1 |
About Pantea Izadi
Pantea Izadi is a scholar working on Hematology, Cancer Research and Reproductive Medicine, having authored 58 papers that have together received 1.0k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (12 papers), Nutrition, Genetics, and Disease (8 papers) and SARS-CoV-2 and COVID-19 Research (5 papers). The work is most often cited by research in Cancer Research (196 citations), Molecular Biology (545 citations) and Endocrine and Autonomic Systems (49 citations). Pantea Izadi has collaborated with scholars based in Iran, Finland and United States. Frequent co-authors include Javad Tavakkoly‐Bazzaz, Mehrdad Noruzinia, Mohammad Ali Zaimy, Hakim Azizi, Negin Saffarzadeh, Shahram Torkamandi, Hossein Pourghadamyari, Ali Mohammadi, Maryam Daneshpour and Kobra Omidfar. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.