Sina Nassiri

3.8k total citations · 2 hit papers
32 papers, 2.4k citations indexed

About

Sina Nassiri is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Sina Nassiri has authored 32 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 11 papers in Molecular Biology and 10 papers in Oncology. Recurrent topics in Sina Nassiri's work include Immune cells in cancer (10 papers), Extracellular vesicles in disease (6 papers) and Immune Cell Function and Interaction (5 papers). Sina Nassiri is often cited by papers focused on Immune cells in cancer (10 papers), Extracellular vesicles in disease (6 papers) and Immune Cell Function and Interaction (5 papers). Sina Nassiri collaborates with scholars based in Switzerland, United States and Germany. Sina Nassiri's co-authors include Kara L. Spiller, Tony Yu, Kenneth R. Nakazawa, Claire E. Witherel, Gordana Vunjak‐Novakovic, Johnathan Ng, Monika E. Hegi, Johanna A. Joyce, Roy Thomas Daniel and Robert L. Bowman and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Sina Nassiri

29 papers receiving 2.3k citations

Hit Papers

Interrogation of the Microenvironmenta... 2014 2026 2018 2022 2020 2014 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sina Nassiri Switzerland 20 846 842 491 471 464 32 2.4k
Gerd Klein Germany 35 690 0.8× 1.6k 1.8× 575 1.2× 258 0.5× 536 1.2× 81 3.8k
Golnaz Morad United States 18 619 0.7× 1.0k 1.2× 790 1.6× 406 0.9× 150 0.3× 39 2.3k
Ayelet Dar Israel 20 964 1.1× 1.3k 1.5× 1.2k 2.3× 301 0.6× 981 2.1× 29 3.9k
Gary Brooke Australia 18 738 0.9× 588 0.7× 326 0.7× 202 0.4× 1.1k 2.5× 32 2.5k
Matti Korhonen Finland 34 459 0.5× 1.2k 1.4× 711 1.4× 171 0.4× 622 1.3× 80 3.1k
Tokiko Nagamura‐Inoue Japan 32 813 1.0× 802 1.0× 599 1.2× 129 0.3× 1.0k 2.2× 126 3.4k
Kylie A. Alexander Australia 19 1.1k 1.3× 1.0k 1.2× 485 1.0× 352 0.7× 472 1.0× 36 2.8k
Fengxia Ma China 19 620 0.7× 1.3k 1.5× 184 0.4× 145 0.3× 396 0.9× 48 2.1k
Claudia Waskow Germany 28 2.1k 2.4× 1.2k 1.4× 515 1.0× 152 0.3× 317 0.7× 56 3.6k
Hiroshi Kohara Japan 19 1.1k 1.3× 947 1.1× 808 1.6× 224 0.5× 917 2.0× 55 3.5k

Countries citing papers authored by Sina Nassiri

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Schmeing, Stephan, Sina Nassiri, Emilio Yángüez, et al.. (2026). Molecular Features of Response and Resistance to Glofitamab, a T-Cell Engager for treatment of Large B-Cell Lymphoma. Blood Advances.
2.
Servera, Llucia Albertí, Sina Nassiri, Stephan Schmeing, et al.. (2024). Human CD34+-derived plasmacytoid dendritic cells as surrogates for primary pDCs and potential cancer immunotherapy. Frontiers in Immunology. 15. 1433119–1433119.
4.
Watson, Spencer S., Anoek Zomer, Nadine Fournier, et al.. (2024). Fibrotic response to anti-CSF-1R therapy potentiates glioblastoma recurrence. Cancer Cell. 42(9). 1507–1527.e11. 26 indexed citations
5.
Mashinchian, Omid, Filippo De Franceschi, Sina Nassiri, et al.. (2022). An engineered multicellular stem cell niche for the 3D derivation of human myogenic progenitors from iPSCs. The EMBO Journal. 41(14). e110655–e110655. 7 indexed citations
6.
Egorova, Olga, et al.. (2022). Activin-A impairs CD8 T cell-mediated immunity and immune checkpoint therapy response in melanoma. Journal for ImmunoTherapy of Cancer. 10(5). e004533–e004533. 22 indexed citations
7.
Zarb, Yvette, Sina Nassiri, Sebastian G. Utz, et al.. (2021). Microglia control small vessel calcification via TREM2. Science Advances. 7(9). 32 indexed citations
8.
Xie, Yuqing, Simon Van Herck, Sina Nassiri, et al.. (2021). Switchable immune modulator for tumor-specific activation of anticancer immunity. Science Advances. 7(37). eabg7291–eabg7291. 36 indexed citations
9.
Schreiner, Bettina, Johanna Schaffenrath, Hsing‐Chuan Tsai, et al.. (2021). Pericytes regulate vascular immune homeostasis in the CNS. Proceedings of the National Academy of Sciences. 118(10). 106 indexed citations
10.
Jonge, Kaat de, Laure Tillé, João Lourenço, et al.. (2021). Inflammatory B cells correlate with failure to checkpoint blockade in melanoma patients. OncoImmunology. 10(1). 1873585–1873585. 24 indexed citations
11.
Leblond, M.M., Laure Tillé, Sina Nassiri, et al.. (2020). CD40 Agonist Restores the Antitumor Efficacy of Anti-PD1 Therapy in Muscle-Invasive Bladder Cancer in an IFN I/II-Mediated Manner. Cancer Immunology Research. 8(9). 1180–1192. 29 indexed citations
12.
Ragusa, Simone, Alejandra González‐Loyola, Sina Nassiri, et al.. (2020). Antiangiogenic immunotherapy suppresses desmoplastic and chemoresistant intestinal tumors in mice. Journal of Clinical Investigation. 130(3). 1199–1216. 44 indexed citations
13.
Klemm, Florian, Roeltje R. Maas, Robert L. Bowman, et al.. (2020). Interrogation of the Microenvironmental Landscape in Brain Tumors Reveals Disease-Specific Alterations of Immune Cells. Cell. 181(7). 1643–1660.e17. 618 indexed citations breakdown →
14.
Nassiri, Sina, Hélène Maby–El Hajjami, Rama Akondy, et al.. (2020). Minimal immune response to booster vaccination against Yellow Fever associated with pre-existing antibodies. Vaccine. 38(9). 2172–2182. 13 indexed citations
16.
Palma, Michele De, Sina Nassiri, & Chiara Cianciaruso. (2019). Macrophage interference on chemotherapy. Nature Cell Biology. 21(4). 411–412. 6 indexed citations
17.
Cianciaruso, Chiara, Tim Beltraminelli, Florent Duval, et al.. (2019). Molecular Profiling and Functional Analysis of Macrophage-Derived Tumor Extracellular Vesicles. Cell Reports. 27(10). 3062–3080.e11. 148 indexed citations
18.
Coso, Sanja, Amélie Sabine, Cláudio A. Franco, et al.. (2019). Endothelial Calcineurin Signaling Restrains Metastatic Outgrowth by Regulating Bmp2. Cell Reports. 26(5). 1227–1241.e6. 13 indexed citations
19.
Yu, Tony, Wenbo Wang, Sina Nassiri, et al.. (2016). Temporal and spatial distribution of macrophage phenotype markers in the foreign body response to glutaraldehyde-crosslinked gelatin hydrogels. Journal of Biomaterials Science Polymer Edition. 27(8). 721–742. 59 indexed citations
20.
Spiller, Kara L., Sina Nassiri, Claire E. Witherel, et al.. (2014). Sequential delivery of immunomodulatory cytokines to facilitate the M1-to-M2 transition of macrophages and enhance vascularization of bone scaffolds. Biomaterials. 37. 194–207. 598 indexed citations breakdown →

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.

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