Maryam Ajami
- Physiology top 5%
- Adenosine and Purinergic Signaling 2
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- Immune cells in cancer 4
- Immune Cell Function and Interaction 3
- Immunotherapy and Immune Responses 3
- Modeling and Simulation top 10%
- Mathematical Biology Tumor Growth 3
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- Cancer, Hypoxia, and Metabolism 1
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- Epigenetics and DNA Methylation 2
- Histone Deacetylase Inhibitors Research 2
- Co-authors
- Jamshid HadjatiFarhad Jadidi‐NiaraghNasim KheshtchinSamaneh ArabFarshid NoorbakhshReza MirzaeiAli RastegariFatemeh Atyabi
- Journals
- SHILAP Revista de lepidopterología (1 paper)Journal of Controlled Release (1 paper)Journal of Cellular Biochemistry (1 paper)
- Partner nations
- IranUnited StatesCanada
In The Last Decade
Maryam Ajami
13 papers receiving 390 citations
Peers
Comparison fields: 5 of 67
- Physiology 72
- Immunology 195
- Modeling and Simulation 35
- Oncology 159
- Cancer Research 59
Countries citing papers authored by Maryam Ajami
This map shows the geographic impact of Maryam Ajami'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 Maryam Ajami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maryam Ajami more than expected).
Fields of papers citing papers by Maryam Ajami
This network shows the impact of papers produced by Maryam Ajami. 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 Maryam Ajami. The network helps show where Maryam Ajami may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maryam Ajami, 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 | 2022 | 6 | |
| 2 | 2022 | 10 | |
| 3 | 2021 | 3 | |
| 4 | 2021 | 2 | |
| 5 | 2019 | 17 | |
| 6 | 2017 | 38 | |
| 7 | 2017 | 27 | |
| 8 | 2017 | 53 | |
| 9 | A Predictive Approach for the Tumor-Immune System Interactions Based on an Agent Based Modeling | 2017 | 1 |
| 10 | 2016 | 76 | |
| 11 | 2016 | 151 | |
| 12 | Effects of fennel, asafetida and ginseng ethanolic extracts on growth and proliferation of mouse breast cancer 4T1 cell lines | 2015 | 0 |
| 13 | The Cytotoxicity of a Short Chain Fatty Acid Histone Deacetylase Inhibitor on HCT116 Human Colorectal Carcinoma Cell Line | 2015 | 1 |
| 14 | Multiple Low Doses of 5-Fluorouracil Diminishes Immunosuppression by Myeloid Derived Suppressor Cells in Murine Melanoma Model. | 2015 | 10 |
About Maryam Ajami
Maryam Ajami is a scholar working on Modeling and Simulation, Physiology and Immunology, having authored 14 papers that have together received 395 indexed citations. Recurring topics across this work include Immune cells in cancer (4 papers), Mathematical Biology Tumor Growth (3 papers), Immune Cell Function and Interaction (3 papers), Immunotherapy and Immune Responses (3 papers), Epigenetics and DNA Methylation (2 papers), Adenosine and Purinergic Signaling (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Physiology (72 citations), Immunology (195 citations) and Modeling and Simulation (35 citations). Maryam Ajami has collaborated with scholars based in Iran, United States and Canada. Frequent co-authors include Jamshid Hadjati, Farhad Jadidi‐Niaragh, Nasim Kheshtchin, Samaneh Arab, Farshid Noorbakhsh, Reza Mirzaei, Ali Rastegari, Fatemeh Atyabi, Afshin Namdar and Fazel Shokri. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Controlled Release and Journal of Cellular Biochemistry.
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.