Farhad Dastmalchi
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
-
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
- Immunology 13
- Immunotherapy and Immune Responses 10
- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- Oncology 10
- Cancer Immunotherapy and Biomarkers 5
- CAR-T cell therapy research 4
- Co-authors
- Maryam Rahman (15 shared papers)Duane A. Mitchell (15 shared papers)Aida Karachi (12 shared papers)Elias Sayour (8 shared papers)Changlin Yang (5 shared papers)Kaitlyn Melnick (3 shared papers)Hassan Azari (2 shared papers)Jianping Huang (4 shared papers)
- Journals
- Neuro-Oncology (9 papers)The Journal of Immunology (1 paper)NeuroMolecular Medicine (1 paper)Neurosurgical FOCUS (1 paper)Frontiers in Oncology (1 paper)
- Partner nations
- United StatesPeruItaly
In The Last Decade
Farhad Dastmalchi
21 papers receiving 549 citations
Peers
Comparison fields: 5 of 75
- Genetics 215
- Immunology 216
- Oncology 169
- Cancer Research 93
- Neurology 32
Countries citing papers authored by Farhad Dastmalchi
This map shows the geographic impact of Farhad Dastmalchi'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 Farhad Dastmalchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Farhad Dastmalchi more than expected).
Fields of papers citing papers by Farhad Dastmalchi
This network shows the impact of papers produced by Farhad Dastmalchi. 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 Farhad Dastmalchi. The network helps show where Farhad Dastmalchi may publish in the future.
Co-authors
The 25 scholars most cited alongside Farhad Dastmalchi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 208 | |
| 2 | 2019 | 75 | |
| 3 | 2018 | 42 | |
| 4 | 2021 | 34 | |
| 5 | 2019 | 30 | |
| 6 | 2021 | 21 | |
| 7 | 2016 | 21 | |
| 8 | 2020 | 21 | |
| 9 | 2018 | 20 | |
| 10 | 2022 | 17 | |
| 11 | 2021 | 16 | |
| 12 | 2021 | 13 | |
| 13 | 2023 | 13 | |
| 14 | 2016 | 12 | |
| 15 | 2021 | 2 | |
| 16 | 2022 | 1 | |
| 17 | 2018 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2023 | 1 |
About Farhad Dastmalchi
Farhad Dastmalchi is a scholar working on Immunology, Oncology, Genetics, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 22 papers that have together received 551 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (10 papers), Glioma Diagnosis and Treatment (6 papers), Cancer Immunotherapy and Biomarkers (5 papers), CAR-T cell therapy research (4 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Brain Metastases and Treatment (3 papers) and Nanoplatforms for cancer theranostics (2 papers). The work is most often cited by research in Genetics (215 citations), Immunology (216 citations), Oncology (169 citations), Cancer Research (93 citations) and Neurology (32 citations). Farhad Dastmalchi has collaborated with scholars based in United States, Peru and Italy. Frequent co-authors include Maryam Rahman, Duane A. Mitchell, Aida Karachi, Elias Sayour, Changlin Yang, Kaitlyn Melnick, Hassan Azari, Jianping Huang, Catherine Flores and Yu Long. Their work appears in journals such as Neuro-Oncology, The Journal of Immunology, NeuroMolecular Medicine, Neurosurgical FOCUS and Frontiers in Oncology.
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.