Elham Nazari
- Molecular Biology
- Cancer Research
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Oncology
- Co-authors
- Amir AvanHamed TabeshMahmood TaraMajid KhazaeiGordon A. FernsSeyed Mahdi HassanianGhazaleh Khalili‐TanhaMahdi Gholian‐Aval
- Topics
- Cancer-related molecular mechanisms research (7 papers)Artificial Intelligence in Healthcare (5 papers)MicroRNA in disease regulation (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaCancer ResearchScientific Reports
- Partner nations
- IranUnited KingdomAustralia
In The Last Decade
Elham Nazari
41 papers receiving 271 citations
Peers
Comparison fields: 5 of 92
- Molecular Biology 120
- Cancer Research 78
- Artificial Intelligence 50
- Radiology, Nuclear Medicine and Imaging 42
- Oncology 39
Countries citing papers authored by Elham Nazari
This map shows the geographic impact of Elham Nazari'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 Elham Nazari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elham Nazari more than expected).
Fields of papers citing papers by Elham Nazari
This network shows the impact of papers produced by Elham Nazari. 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 Elham Nazari. The network helps show where Elham Nazari may publish in the future.
Co-authorship network of co-authors of Elham Nazari
This figure shows the co-authorship network connecting the top 25 collaborators of Elham Nazari. A scholar is included among the top collaborators of Elham Nazari 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 Elham Nazari. Elham Nazari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 3 | |
| 10 | 10 | |
| 11 | 5 | |
| 12 | 26 | |
| 13 | 12 | |
| 14 | 6 | |
| 15 | 7 | |
| 16 | 7 | |
| 17 | 7 | |
| 18 | 15 | |
| 19 | The Common Applications of Social Networks in Healthcare | 0 |
| 20 | The Role of Social Networks in Healthcare: Applications and Limitations | 1 |
About Elham Nazari
Elham Nazari is a scholar working on Health Information Management, Medical Laboratory Technology and Cancer Research, having authored 50 papers that have together received 275 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), Artificial Intelligence in Healthcare (5 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Health Informatics (8 citations), Cancer Research (78 citations) and Health Information Management (19 citations). Elham Nazari has collaborated with scholars based in Iran, United Kingdom and Australia. Frequent co-authors include Amir Avan, Hamed Tabesh, Mahmood Tara, Majid Khazaei, Gordon A. Ferns, Seyed Mahdi Hassanian, Ghazaleh Khalili‐Tanha, Mahdi Gholian‐Aval, Amin Mehrabian and Mohammadreza Nassiri. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer Research 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.