Sina Nassiri
- Genetics top 2%
- Immunology top 5%
- Immune cells in cancer 10
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 5
- T-cell and B-cell Immunology 4
- Neurology top 5%
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 4
- Oncology top 5%
- Cancer Immunotherapy and Biomarkers 5
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- Extracellular vesicles in disease 6
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- Tissue Engineering and Regenerative Medicine 3
- Co-authors
- Kara L. SpillerTony YuClaire E. WitherelKenneth R. NakazawaGordana Vunjak‐NovakovicJohnathan NgJohanna A. JoyceRoy Thomas Daniel
- Cited by
- GeneticsImmunologyNeurology
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Sina Nassiri
29 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Genetics 464
- Immunology 846
- Neurology 242
- Cancer Research 295
- Oncology 491
Countries citing papers authored by Sina Nassiri
This map shows the geographic impact of Sina 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 Sina Nassiri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sina Nassiri more than expected).
Fields of papers citing papers by Sina Nassiri
This network shows the impact of papers produced by Sina 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 Sina Nassiri. The network helps show where Sina Nassiri may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sina Nassiri, 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 | 2026 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 26 | |
| 5 | 2022 | 7 | |
| 6 | 2021 | 36 | |
| 7 | 2021 | 106 | |
| 8 | 2021 | 32 | |
| 9 | 2020 | 29 | |
| 10 | Interrogation of the Microenvironmental Landscape in Brain Tumors Reveals Disease-Specific Alterations of Immune Cellsbreakdown → | 2020 | 618 |
| 11 | 2020 | 13 | |
| 12 | 2020 | 26 | |
| 13 | 2020 | 44 | |
| 14 | 2019 | 13 | |
| 15 | 2019 | 6 | |
| 16 | 2019 | 148 | |
| 17 | 2019 | 181 | |
| 18 | 2017 | 170 | |
| 19 | 2016 | 59 | |
| 20 | Sequential delivery of immunomodulatory cytokines to facilitate the M1-to-M2 transition of macrophages and enhance vascularization of bone scaffoldsbreakdown → | 2014 | 598 |
About Sina Nassiri
Sina Nassiri is a scholar working on Immunology, Immunology and Allergy and Cancer Research, having authored 32 papers that have together received 2.4k indexed citations. Recurring topics across this work include Immune cells in cancer (10 papers), Extracellular vesicles in disease (6 papers), Immune Cell Function and Interaction (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Immunotherapy and Immune Responses (5 papers), Cancer-related molecular mechanisms research (4 papers), T-cell and B-cell Immunology (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). The work is most often cited by research in Genetics (464 citations), Immunology (846 citations) and Neurology (242 citations). Sina Nassiri has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Kara L. Spiller, Tony Yu, Claire E. Witherel, Kenneth R. Nakazawa, Gordana Vunjak‐Novakovic, Johnathan Ng, Johanna A. Joyce, Roy Thomas Daniel, Monika E. Hegi and Roeltje R. Maas. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.
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.