Mehdi Nassiri
- Molecular Biology
- Immunology top 10%
- Surgery
- Oncology top 10%
- Rheumatology top 5%
- Co-authors
- Vladimir VincekMehrdad NadjiAzorides R. MoralesSharon E. JacobFrancisco A. KerdelCarlos A. MedinaKeith CandiottiPéter Takács
- Topics
- Molecular Biology Techniques and Applications (11 papers)Immune Cell Function and Interaction (9 papers)T-cell and B-cell Immunology (9 papers)
- Cited by
- DermatologyRheumatologyImmunology
- Journals
- SHILAP Revista de lepidopterologíaBloodThe Journal of Immunology
- Partner nations
- United StatesSpainIran
In The Last Decade
Mehdi Nassiri
78 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 123
- Molecular Biology 557
- Immunology 304
- Surgery 265
- Oncology 246
- Rheumatology 230
Countries citing papers authored by Mehdi Nassiri
This map shows the geographic impact of Mehdi Nassiri'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 Mehdi Nassiri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mehdi Nassiri more than expected).
Fields of papers citing papers by Mehdi Nassiri
This network shows the impact of papers produced by Mehdi Nassiri. 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 Mehdi Nassiri. The network helps show where Mehdi Nassiri may publish in the future.
Co-authorship network of co-authors of Mehdi Nassiri
This figure shows the co-authorship network connecting the top 25 collaborators of Mehdi Nassiri. A scholar is included among the top collaborators of Mehdi Nassiri 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 Mehdi Nassiri. Mehdi Nassiri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 34 | |
| 3 | 15 | |
| 4 | Histiocytic Sarcoma Associated with Coombs Negative Acute Hemolytic Anemia: A Rare Presentation | 1 |
| 5 | Clonal CD8+ T Lymphocytic Proliferation and Karyotypical Abnormalities in an EBV Associated Hemophagocytic Lymphohistiocytosis | 2 |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 12 | |
| 9 | 22 | |
| 10 | 48 | |
| 11 | 19 | |
| 12 | Coenzyme Q10: A novel bcl-2 drug target for the treatment of melanoma | 3 |
| 13 | 6 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 46 | |
| 17 | 7 | |
| 18 | 20 | |
| 19 | 37 | |
| 20 | 34 |
About Mehdi Nassiri
Mehdi Nassiri is a scholar working on Immunology, Hematology and Genetics, having authored 84 papers that have together received 1.6k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (11 papers), Immune Cell Function and Interaction (9 papers) and T-cell and B-cell Immunology (9 papers). The work is most often cited by research in Dermatology (160 citations), Rheumatology (230 citations) and Immunology (304 citations). Mehdi Nassiri has collaborated with scholars based in United States, Spain and Iran. Frequent co-authors include Vladimir Vincek, Mehrdad Nadji, Azorides R. Morales, Sharon E. Jacob, Francisco A. Kerdel, Carlos A. Medina, Keith Candiotti, Péter Takács, Phillip Ruiz and M. Gualtieri. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and The Journal of Immunology.
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.