Sina Nassiri
- Immunology top 5%
- Molecular Biology top 10%
- Oncology top 5%
- Biomedical Engineering top 10%
- Genetics top 2%
- Co-authors
- Kara L. SpillerTony YuClaire E. WitherelKenneth R. NakazawaGordana Vunjak‐NovakovicJohnathan NgJohanna A. JoyceRoy Thomas Daniel
- Topics
- Immune cells in cancer (10 papers)Extracellular vesicles in disease (6 papers)Immune Cell Function and Interaction (5 papers)
- Cited by
- GeneticsImmunologyNeurology
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Sina Nassiri
29 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Immunology 846
- Molecular Biology 842
- Oncology 491
- Biomedical Engineering 471
- Genetics 464
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 of co-authors of Sina Nassiri
This figure shows the co-authorship network connecting the top 25 collaborators of Sina Nassiri. A scholar is included among the top collaborators of Sina 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 Sina Nassiri. Sina 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 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 26 | |
| 5 | 7 | |
| 6 | 36 | |
| 7 | 106 | |
| 8 | 32 | |
| 9 | 29 | |
| 10 | Interrogation of the Microenvironmental Landscape in Brain Tumors Reveals Disease-Specific Alterations of Immune Cellsbreakdown → | 618 |
| 11 | 13 | |
| 12 | 26 | |
| 13 | 44 | |
| 14 | 13 | |
| 15 | 6 | |
| 16 | 148 | |
| 17 | 181 | |
| 18 | 170 | |
| 19 | 59 | |
| 20 | Sequential delivery of immunomodulatory cytokines to facilitate the M1-to-M2 transition of macrophages and enhance vascularization of bone scaffoldsbreakdown → | 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) and Immune Cell Function and Interaction (5 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.