Kiarash Tanha
- Radiology, Nuclear Medicine and Imaging top 10%
- Physiology
- Surgery
- Biomedical Engineering
- Cardiology and Cardiovascular Medicine
- Co-authors
- Leila JananiAzadeh MottaghiReza NegarandehHamid AbdollahiMarzieh NojomiSeied Rabi MahdaviMohsen BakhshandehBahram Mofid
- Topics
- Radiomics and Machine Learning in Medical Imaging (3 papers)Meta-analysis and systematic reviews (3 papers)Bone health and osteoporosis research (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaPhysiology & BehaviorCalcified Tissue International
- Partner nations
- IranUnited KingdomUnited States
In The Last Decade
Kiarash Tanha
31 papers receiving 526 citations
Peers
Comparison fields: 5 of 119
- Radiology, Nuclear Medicine and Imaging 129
- Physiology 94
- Surgery 77
- Biomedical Engineering 68
- Cardiology and Cardiovascular Medicine 59
Countries citing papers authored by Kiarash Tanha
This map shows the geographic impact of Kiarash Tanha'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 Kiarash Tanha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiarash Tanha more than expected).
Fields of papers citing papers by Kiarash Tanha
This network shows the impact of papers produced by Kiarash Tanha. 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 Kiarash Tanha. The network helps show where Kiarash Tanha may publish in the future.
Co-authorship network of co-authors of Kiarash Tanha
This figure shows the co-authorship network connecting the top 25 collaborators of Kiarash Tanha. A scholar is included among the top collaborators of Kiarash Tanha 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 Kiarash Tanha. Kiarash Tanha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 5 | |
| 4 | 28 | |
| 5 | 56 | |
| 6 | 19 | |
| 7 | 24 | |
| 8 | 1 | |
| 9 | 30 | |
| 10 | 2 | |
| 11 | 29 | |
| 12 | 19 | |
| 13 | 34 | |
| 14 | 8 | |
| 15 | 6 | |
| 16 | 45 | |
| 17 | 20 | |
| 18 | 35 | |
| 19 | 20 | |
| 20 | 10 |
About Kiarash Tanha
Kiarash Tanha is a scholar working on Family Practice, Statistics, Probability and Uncertainty and Critical Care and Intensive Care Medicine, having authored 31 papers that have together received 535 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (3 papers), Meta-analysis and systematic reviews (3 papers) and Bone health and osteoporosis research (3 papers). The work is most often cited by research in Family Practice (14 citations), Radiology, Nuclear Medicine and Imaging (129 citations) and Geriatrics and Gerontology (21 citations). Kiarash Tanha has collaborated with scholars based in Iran, United Kingdom and United States. Frequent co-authors include Leila Janani, Azadeh Mottaghi, Reza Negarandeh, Hamid Abdollahi, Marzieh Nojomi, Seied Rabi Mahdavi, Mohsen Bakhshandeh, Bahram Mofid, Abolfazl Razzaghdoust and Rokhsareh Aghili. Their work appears in journals such as SHILAP Revista de lepidopterología, Physiology & Behavior and Calcified Tissue International.
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.