Mahdi Shabani
- Physiology top 5%
-
- Immune Cell Function and Interaction 5
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 10
- Endocrinology top 10%
-
- HER2/EGFR in Cancer Research 5
-
- Monoclonal and Polyclonal Antibodies Research 14
-
- RNA Interference and Gene Delivery 6
- Glycosylation and Glycoproteins Research 4
-
- Acute Lymphoblastic Leukemia research 6
-
- COVID-19 Clinical Research Studies 5
- Co-authors
- Mahmoud AghaeiHossein Asgarian‐OmranDavoud RostamzadehMahmood Jeddi‐TehraniZahra AmirghofranFazel ShokriParvaneh VossoughHodjatallah Rabbani
- Cited by
- PhysiologyImmunologyGenetics
- Journals
- SHILAP Revista de lepidopterología (2 papers)Blood (1 paper)International Journal of Cancer (1 paper)
- Partner nations
- IranSwedenUnited States
In The Last Decade
Mahdi Shabani
54 papers receiving 784 citations
Peers
Comparison fields: 5 of 95
- Physiology 54
- Immunology 197
- Genetics 81
- Endocrinology 31
- Oncology 157
Countries citing papers authored by Mahdi Shabani
This map shows the geographic impact of Mahdi Shabani'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 Mahdi Shabani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahdi Shabani more than expected).
Fields of papers citing papers by Mahdi Shabani
This network shows the impact of papers produced by Mahdi Shabani. 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 Mahdi Shabani. The network helps show where Mahdi Shabani may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mahdi Shabani, 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 | 2024 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 5 | |
| 5 | 2022 | 3 | |
| 6 | 2022 | 2 | |
| 7 | 2021 | 8 | |
| 8 | 2020 | 20 | |
| 9 | 2017 | 17 | |
| 10 | Antibody Response to Human Extracellular HER2 Subdomain Proteins in Mice. | 2017 | 3 |
| 11 | 2017 | 23 | |
| 12 | 2017 | 30 | |
| 13 | 2016 | 2 | |
| 14 | 2015 | 12 | |
| 15 | 2015 | 3 | |
| 16 | 2015 | 32 | |
| 17 | 2013 | 8 | |
| 18 | 2008 | 10 | |
| 19 | 2007 | 41 | |
| 20 | 2006 | 35 |
About Mahdi Shabani
Mahdi Shabani is a scholar working on Genetics, Immunology and Endocrinology, having authored 55 papers that have together received 798 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (14 papers), Chronic Lymphocytic Leukemia Research (10 papers), RNA Interference and Gene Delivery (6 papers), Acute Lymphoblastic Leukemia research (6 papers), COVID-19 Clinical Research Studies (5 papers), HER2/EGFR in Cancer Research (5 papers), Immune Cell Function and Interaction (5 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Physiology (54 citations), Immunology (197 citations) and Genetics (81 citations). Mahdi Shabani has collaborated with scholars based in Iran, Sweden and United States. Frequent co-authors include Mahmoud Aghaei, Hossein Asgarian‐Omran, Davoud Rostamzadeh, Mahmood Jeddi‐Tehrani, Zahra Amirghofran, Fazel Shokri, Parvaneh Vossough, Hodjatallah Rabbani, Tohid Kazemi and Mojtaba Fathi. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and International Journal of 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.