Tohid Kazemi
- Molecular Biology top 10%
- Cancer Research top 2%
- Immunology top 5%
- Oncology top 5%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Behzad BaradaranDariush ShanehbandiAli MohammadiBehzad MansooriNajibeh ShekariJafar MajidiPascal H. G. DuijfVahid Khaze
- Topics
- MicroRNA in disease regulation (25 papers)Immunotherapy and Immune Responses (18 papers)CAR-T cell therapy research (18 papers)
- Cited by
- Cancer ResearchImmunologyOncology
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEBiochemical and Biophysical Research Communications
In The Last Decade
Tohid Kazemi
118 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 1.2k
- Cancer Research 691
- Immunology 664
- Oncology 581
- Pathology and Forensic Medicine 179
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 of co-authors of Tohid Kazemi
This figure shows the co-authorship network connecting the top 25 collaborators of Tohid Kazemi. A scholar is included among the top collaborators of Tohid Kazemi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tohid Kazemi. Tohid Kazemi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 15 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 13 | |
| 11 | 42 | |
| 12 | 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 | 4 |
| 14 | 97 | |
| 15 | 10 | |
| 16 | 14 | |
| 17 | 2 | |
| 18 | Association of CD46 IVS1-1724 C>G Single Nucleotide Polymorphism in Iranian Women with Unexplained Recurrent Spontaneous Abortion (URSA). | 7 |
| 19 | 27 | |
| 20 | 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) and CAR-T cell therapy research (18 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.