Tohid Kazemi
- Cancer Research top 2%
- MicroRNA in disease regulation 25
- Cancer-related molecular mechanisms research 11
- Immunology top 5%
- Immunotherapy and Immune Responses 18
- Immune Cell Function and Interaction 12
- Oncology top 5%
- CAR-T cell therapy research 18
- Cancer Immunotherapy and Biomarkers 16
- Parasitology top 5%
- Molecular Biology top 10%
- Circular RNAs in diseases 10
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- Monoclonal and Polyclonal Antibodies Research 13
- Co-authors
- Behzad BaradaranDariush ShanehbandiAli MohammadiBehzad MansooriNajibeh ShekariJafar MajidiPascal H. G. DuijfVahid Khaze
- Cited by
- Cancer ResearchImmunologyOncology
- Journals
- SHILAP Revista de lepidopterología (13 papers)PLoS ONE (1 paper)Biochemical and Biophysical Research Communications (1 paper)
In The Last Decade
Tohid Kazemi
118 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 113
- Cancer Research 691
- Immunology 664
- Oncology 581
- Parasitology 127
- Molecular Biology 1.2k
Countries citing papers authored by Tohid Kazemi
This map shows the geographic impact of Tohid Kazemi'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 Tohid Kazemi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tohid Kazemi more than expected).
Fields of papers citing papers by Tohid Kazemi
This network shows the impact of papers produced by Tohid Kazemi. 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 Tohid Kazemi. The network helps show where Tohid Kazemi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tohid Kazemi, 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 | 0 | |
| 2 | 2025 | 4 | |
| 3 | 2025 | 6 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 7 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 15 | |
| 8 | 2021 | 1 | |
| 9 | 2020 | 2 | |
| 10 | 2020 | 13 | |
| 11 | 2019 | 42 | |
| 12 | 2019 | 37 | |
| 13 | Investigation of Programmed Cell Death-1 (PD-1) Gene Variations at Positions PD1.3 and PD1.5 in Iranian Patients with Non-small Cell Lung Cancer | 2018 | 4 |
| 14 | 2018 | 97 | |
| 15 | 2017 | 10 | |
| 16 | 2016 | 14 | |
| 17 | 2016 | 2 | |
| 18 | Association of CD46 IVS1-1724 C>G Single Nucleotide Polymorphism in Iranian Women with Unexplained Recurrent Spontaneous Abortion (URSA). | 2016 | 7 |
| 19 | 2014 | 27 | |
| 20 | 2013 | 16 |
About Tohid Kazemi
Tohid Kazemi is a scholar working on Cancer Research, Immunology and Oncology, having authored 122 papers that have together received 2.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (25 papers), Immunotherapy and Immune Responses (18 papers), CAR-T cell therapy research (18 papers), Cancer Immunotherapy and Biomarkers (16 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Immune Cell Function and Interaction (12 papers), Cancer-related molecular mechanisms research (11 papers) and Circular RNAs in diseases (10 papers). The work is most often cited by research in Cancer Research (691 citations), Immunology (664 citations) and Oncology (581 citations). Tohid Kazemi has collaborated with scholars based in Iran, Denmark and Australia. Frequent co-authors include Behzad Baradaran, Dariush Shanehbandi, Ali Mohammadi, Behzad Mansoori, Najibeh Shekari, Jafar Majidi, Pascal H. G. Duijf, Vahid Khaze, Farhad Jadidi‐Niaragh and Houman Kahroba. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biochemical and Biophysical Research Communications.
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.