Mohammad Kohandel
- Modeling and Simulation top 0.5%
- Mathematical Biology Tumor Growth 33
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 13
- Cancer, Hypoxia, and Metabolism 11
- Oncology top 5%
- Cancer Cells and Metastasis 17
- Biomaterials top 10%
- Biomedical Engineering top 10%
- 3D Printing in Biomedical Research 7
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- Theoretical and Computational Physics 8
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- Angiogenesis and VEGF in Cancer 7
- ATP Synthase and ATPases Research 6
- Co-authors
- S. SivaloganathanAaron GoldmanMichael MilosevicAndrew DhawanShiladitya SenguptaG. TentiSivabal SivaloganathanGibin Powathil
- Partner nations
- CanadaUnited StatesIran
In The Last Decade
Mohammad Kohandel
94 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 147
- Modeling and Simulation 421
- Cancer Research 347
- Oncology 458
- Biomaterials 172
- Biomedical Engineering 450
Countries citing papers authored by Mohammad Kohandel
This map shows the geographic impact of Mohammad Kohandel'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 Mohammad Kohandel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Kohandel more than expected).
Fields of papers citing papers by Mohammad Kohandel
This network shows the impact of papers produced by Mohammad Kohandel. 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 Mohammad Kohandel. The network helps show where Mohammad Kohandel may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mohammad Kohandel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 6 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 25 | |
| 6 | 2023 | 22 | |
| 7 | 2022 | 2 | |
| 8 | 2021 | 78 | |
| 9 | 2021 | 12 | |
| 10 | 2020 | 13 | |
| 11 | 2020 | 9 | |
| 12 | 2019 | 53 | |
| 13 | 2019 | 17 | |
| 14 | 2017 | 4 | |
| 15 | 2017 | 15 | |
| 16 | 2013 | 27 | |
| 17 | Effect of aerobic exercise on serum leptin response and insulin resistance of patients with type 2 diabetes | 2013 | 3 |
| 18 | 2009 | 11 | |
| 19 | 2009 | 26 | |
| 20 | 2006 | 8 |
About Mohammad Kohandel
Mohammad Kohandel is a scholar working on Modeling and Simulation, Cancer Research and Oncology, having authored 96 papers that have together received 1.9k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (33 papers), Cancer Cells and Metastasis (17 papers), Cancer Genomics and Diagnostics (13 papers), Cancer, Hypoxia, and Metabolism (11 papers), Theoretical and Computational Physics (8 papers), Angiogenesis and VEGF in Cancer (7 papers), 3D Printing in Biomedical Research (7 papers) and ATP Synthase and ATPases Research (6 papers). The work is most often cited by research in Modeling and Simulation (421 citations), Cancer Research (347 citations) and Oncology (458 citations). Mohammad Kohandel has collaborated with scholars based in Canada, United States and Iran. Frequent co-authors include S. Sivaloganathan, Aaron Goldman, Michael Milosevic, Andrew Dhawan, Shiladitya Sengupta, G. Tenti, Sivabal Sivaloganathan, Gibin Powathil, C. Turner and Colin Phipps. Their work appears in journals such as Scientific Reports, PLoS ONE, PLoS Computational Biology, Journal of Theoretical Biology and Physical review. B, Condensed matter.
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.