Hamid Maadi
Impact in
- Developmental Neuroscience top 10%
- Oncology top 10%
- HER2/EGFR in Cancer Research
Papers in
-
- Epigenetics and DNA Methylation 2
- Oncology 9
- HER2/EGFR in Cancer Research 7
- Cancer Cells and Metastasis 2
- Co-authors
- Zhixiang Wang (9 shared papers)Babak Nami (4 shared papers)Mohammad Hasan Soheilifar (5 shared papers)Mohammad Esmaeillou (2 shared papers)Ali Asghar Tehrani (2 shared papers)Wonshik Choi (2 shared papers)Mohammad Reza Sadeghi (2 shared papers)Houman Kahroba (2 shared papers)
In The Last Decade
Hamid Maadi
22 papers receiving 809 citations
Peers
Comparison fields: 5 of 103
- Developmental Neuroscience 38
- Oncology 229
- Cancer Research 101
- Radiology, Nuclear Medicine and Imaging 149
- Health, Toxicology and Mutagenesis 59
Countries citing papers authored by Hamid Maadi
This map shows the geographic impact of Hamid Maadi'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 Hamid Maadi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hamid Maadi more than expected).
Fields of papers citing papers by Hamid Maadi
This network shows the impact of papers produced by Hamid Maadi. 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 Hamid Maadi. The network helps show where Hamid Maadi may publish in the future.
Co-authors
The 25 scholars most cited alongside Hamid Maadi, 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 | 2012 | 138 | |
| 2 | 2018 | 131 | |
| 3 | 2021 | 110 | |
| 4 | 2020 | 103 | |
| 5 | 2014 | 55 | |
| 6 | 2020 | 43 | |
| 7 | 2019 | 39 | |
| 8 | 2016 | 37 | |
| 9 | 2018 | 34 | |
| 10 | 2019 | 23 | |
| 11 | 2022 | 21 | |
| 12 | Prevalence of brucellosis in cattle in Urmia, Iran. | 2011 | 20 |
| 13 | 2021 | 19 | |
| 14 | 2018 | 16 | |
| 15 | 2010 | 11 | |
| 16 | 2022 | 10 | |
| 17 | 2018 | 8 | |
| 18 | 2017 | 5 | |
| 19 | 2010 | 2 | |
| 20 | The antibacterial effects of aqueous extract of Medicago sativa L. in comparsion with three antibiotics (Gentamicin, Ciprofloxacin and Penicillin) | 2013 | 1 |
About Hamid Maadi
Hamid Maadi is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Food Science and Cancer Research, having authored 22 papers that have together received 828 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), MicroRNA in disease regulation (3 papers), Nanoparticles: synthesis and applications (2 papers), Brucella: diagnosis, epidemiology, treatment (2 papers), Cancer Cells and Metastasis (2 papers), Burkholderia infections and melioidosis (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Developmental Neuroscience (38 citations), Oncology (229 citations), Cancer Research (101 citations), Radiology, Nuclear Medicine and Imaging (149 citations) and Health, Toxicology and Mutagenesis (59 citations). Hamid Maadi has collaborated with scholars based in Canada, Iran and Belgium. Frequent co-authors include Zhixiang Wang, Babak Nami, Mohammad Hasan Soheilifar, Mohammad Esmaeillou, Ali Asghar Tehrani, Wonshik Choi, Mohammad Reza Sadeghi, Houman Kahroba, Fatemeh Ramezani and Junfeng Tong. Their work appears in journals such as Cancers, Ageing Research Reviews, Environmental Toxicology and Pharmacology, Cells and BMC Cancer.
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.