Mohammad Kadivar
Impact in
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Biosimilars and Bioanalytical Methods
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- Analytical chemistry methods development
Papers in
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- Immunotherapy and Immune Responses 5
- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Oncology 5
- CAR-T cell therapy research 4
- Cancer Immunotherapy and Biomarkers 3
- Co-authors
- Jan Marsal (5 shared papers)Alireza Aliakbar (2 shared papers)Lena Svensson (1 shared paper)Sine Reker Hadrup (7 shared papers)A B Löfroos (1 shared paper)Inge Marie Svane (5 shared papers)Amalie Kai Bentzen (2 shared papers)Jonas S. Erjefält (2 shared papers)
In The Last Decade
Mohammad Kadivar
14 papers receiving 259 citations
Peers
Comparison fields: 5 of 77
- Immunology 151
- Analytical Chemistry 28
- Genetics 23
- Oncology 51
- Electrochemistry 11
Countries citing papers authored by Mohammad Kadivar
This map shows the geographic impact of Mohammad Kadivar'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 Mohammad Kadivar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mohammad Kadivar more than expected).
Fields of papers citing papers by Mohammad Kadivar
This network shows the impact of papers produced by Mohammad Kadivar. 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 Mohammad Kadivar. The network helps show where Mohammad Kadivar may publish in the future.
Co-authors
The 25 scholars most cited alongside Mohammad Kadivar, 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 | 2016 | 59 | |
| 2 | Personalized therapy with peptide-based neoantigen vaccine (EVX-01) including a novel adjuvant, CAF®09b, in patients with metastatic melanoma | 2022 | 38 |
| 3 | 2019 | 35 | |
| 4 | 2018 | 27 | |
| 5 | 2021 | 22 | |
| 6 | 2017 | 17 | |
| 7 | REGIONAL MAPPING OF THE GENE FREQUENCY OF B -THALASSEMIA IN FARS PROVINCE, IRAN DURING 1997-1998. | 2000 | 17 |
| 8 | 2023 | 15 | |
| 9 | 2021 | 11 | |
| 10 | 2020 | 9 | |
| 11 | 2023 | 5 | |
| 12 | 2020 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2019 | 2 | |
| 15 | 2025 | 0 |
About Mohammad Kadivar
Mohammad Kadivar is a scholar working on Immunology, Oncology, Molecular Biology, Electrical and Electronic Engineering and Analytical Chemistry, having authored 15 papers that have together received 264 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), CAR-T cell therapy research (4 papers), Cancer Immunotherapy and Biomarkers (3 papers), T-cell and B-cell Immunology (2 papers), Analytical chemistry methods development (2 papers), Immune Cell Function and Interaction (2 papers), Electrochemical sensors and biosensors (2 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper). The work is most often cited by research in Immunology (151 citations), Analytical Chemistry (28 citations), Genetics (23 citations), Oncology (51 citations) and Electrochemistry (11 citations). Mohammad Kadivar has collaborated with scholars based in Denmark, Sweden and Iran. Frequent co-authors include Jan Marsal, Alireza Aliakbar, Lena Svensson, Sine Reker Hadrup, A B Löfroos, Inge Marie Svane, Amalie Kai Bentzen, Jonas S. Erjefält, Helle Rus Povlsen and Morten Nielsen. Their work appears in journals such as Journal of Clinical Oncology, Food Chemistry, Blood, Cancer Immunology Immunotherapy and Cells.
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.