Hassan Dana
- Co-authors
- Ghanbar Mahmoodi ChalbataniVahid MarmariHabibollah MahmoodzadehMohammad EbrahimiMohammad RashnoSantiago GrijalvoRamón EritjaCraig D. Logsdon
- Topics
- MicroRNA in disease regulation (6 papers)Cancer Research and Treatments (4 papers)RNA Interference and Gene Delivery (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of NanomedicineJournal of Functional Foods
- Partner nations
- IranChinaUnited States
In The Last Decade
Hassan Dana
18 papers receiving 793 citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 571
- Cancer Research 211
- Oncology 136
- Immunology 100
- Biomedical Engineering 87
Countries citing papers authored by Hassan Dana
This map shows the geographic impact of Hassan Dana'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 Hassan Dana with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hassan Dana more than expected).
Fields of papers citing papers by Hassan Dana
This network shows the impact of papers produced by Hassan Dana. 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 Hassan Dana. The network helps show where Hassan Dana may publish in the future.
Co-authorship network of co-authors of Hassan Dana
This figure shows the co-authorship network connecting the top 25 collaborators of Hassan Dana. A scholar is included among the top collaborators of Hassan Dana 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 Hassan Dana. Hassan Dana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 5 | |
| 3 | In silico Analysis, Molecular Docking, Molecular Dynamic, Cloning, Expression and Purification of Chimeric Protein in Colorectal Cancer Treatment | 2 |
| 4 | 72 | |
| 5 | 21 | |
| 6 | Small interfering RNAs (siRNAs) in cancer therapy: a nano-based approach | 12 |
| 7 | 58 | |
| 8 | 180 | |
| 9 | Seromolecular assess of Toxoplasma gondii infection in pregnant women and neonatal umbilical cord blood. | 5 |
| 10 | 56 | |
| 11 | 24 | |
| 12 | 3 | |
| 13 | 328 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 10 | |
| 17 | 8 | |
| 18 | 4 |
About Hassan Dana
Hassan Dana is a scholar working on Biotechnology, Cancer Research and Molecular Medicine, having authored 18 papers that have together received 797 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), Cancer Research and Treatments (4 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Cancer Research (211 citations), Molecular Biology (571 citations) and Oncology (136 citations). Hassan Dana has collaborated with scholars based in Iran, China and United States. Frequent co-authors include Ghanbar Mahmoodi Chalbatani, Vahid Marmari, Habibollah Mahmoodzadeh, Mohammad Ebrahimi, Mohammad Rashno, Santiago Grijalvo, Ramón Eritja, Craig D. Logsdon, Peyman Kheirandish Zarandi and Mohammad Reza Zinatizadeh. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Nanomedicine and Journal of Functional Foods.
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.