Sanam Peyvandi

431 total citations
9 papers, 182 citations indexed

About

Sanam Peyvandi is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Sanam Peyvandi has authored 9 papers receiving a total of 182 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Sanam Peyvandi's work include Cancer Cells and Metastasis (5 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Immunotherapy and Immune Responses (2 papers). Sanam Peyvandi is often cited by papers focused on Cancer Cells and Metastasis (5 papers), Cancer Immunotherapy and Biomarkers (4 papers) and Immunotherapy and Immune Responses (2 papers). Sanam Peyvandi collaborates with scholars based in Switzerland, Finland and France. Sanam Peyvandi's co-authors include Curzio Rüegg, Girieca Lorusso, Qiang Lan, Yu-Ting Huang, Christos Sotiriou, Werner Held, Christine Desmedt, Mauro Delorenzi, François Richard and David Barras and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Sanam Peyvandi

9 papers receiving 180 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanam Peyvandi Switzerland 5 106 87 62 33 19 9 182
Adina Hughes United Kingdom 5 141 1.3× 81 0.9× 93 1.5× 23 0.7× 15 0.8× 11 204
Priscilla S.W. Cheng United Kingdom 5 95 0.9× 47 0.5× 57 0.9× 36 1.1× 17 0.9× 6 156
Haley Hauck United States 2 138 1.3× 81 0.9× 116 1.9× 88 2.7× 29 1.5× 2 238
Avi Spira United States 3 121 1.1× 76 0.9× 72 1.2× 59 1.8× 63 3.3× 7 202
Ipsita Dey‐Guha United States 6 94 0.9× 29 0.3× 130 2.1× 57 1.7× 12 0.6× 9 200
Heidie Frisco Cabanos Japan 3 64 0.6× 19 0.2× 89 1.4× 46 1.4× 48 2.5× 4 161
Derya Kabacaoğlu Germany 4 127 1.2× 81 0.9× 59 1.0× 34 1.0× 10 0.5× 5 185
Krishnath M. Jayatilleke Australia 4 86 0.8× 56 0.6× 98 1.6× 37 1.1× 16 0.8× 5 206
Carlos R. Garcia-Batres Canada 8 117 1.1× 143 1.6× 46 0.7× 44 1.3× 14 0.7× 9 215
Maura Sticco-Ivins United States 5 104 1.0× 74 0.9× 72 1.2× 21 0.6× 42 2.2× 6 198

Countries citing papers authored by Sanam Peyvandi

Since Specialization
Citations

This map shows the geographic impact of Sanam Peyvandi'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 Sanam Peyvandi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanam Peyvandi more than expected).

Fields of papers citing papers by Sanam Peyvandi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanam Peyvandi. 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 Sanam Peyvandi. The network helps show where Sanam Peyvandi may publish in the future.

Co-authorship network of co-authors of Sanam Peyvandi

This figure shows the co-authorship network connecting the top 25 collaborators of Sanam Peyvandi. A scholar is included among the top collaborators of Sanam Peyvandi 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 Sanam Peyvandi. Sanam Peyvandi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Peyvandi, Sanam, Benjamin Demarco, Chantal Desponds, et al.. (2024). NLRP1-dependent activation of Gasdermin D in neutrophils controls cutaneous leishmaniasis. PLoS Pathogens. 20(9). e1012527–e1012527. 2 indexed citations
2.
Peyvandi, Sanam, Alev Yılmaz, Annamaria Kauzlaric, et al.. (2024). Tumor-educated Gr1+CD11b+ cells drive breast cancer metastasis via OSM/IL-6/JAK–induced cancer cell plasticity. Journal of Clinical Investigation. 134(6). 4 indexed citations
3.
Peyvandi, Sanam, et al.. (2023). The β-Carboline Harmine Has a Protective Immunomodulatory Role in Nonhealing Cutaneous Leishmaniasis. Journal of Investigative Dermatology. 144(4). 862–873.e4. 2 indexed citations
4.
Shariatpanahi, Seyed Peyman, et al.. (2021). Dormant Tumor Cell Vaccination: A Mathematical Model of Immunological Dormancy in Triple-Negative Breast Cancer. Cancers. 13(2). 245–245. 13 indexed citations
5.
Peyvandi, Sanam, et al.. (2019). Chemotherapy-induced immunological breast cancer dormancy: a new function for old drugs?. Journal of Cancer Metastasis and Treatment. 2019. 6 indexed citations
6.
Lan, Qiang, Sanam Peyvandi, Yu-Ting Huang, et al.. (2018). Type I interferon/IRF7 axis instigates chemotherapy-induced immunological dormancy in breast cancer. Oncogene. 38(15). 2814–2829. 84 indexed citations
7.
Secondini, Chiara, Lorenzo Spagnuolo, Thibaud Spinetti, et al.. (2017). Arginase inhibition suppresses lung metastasis in the 4T1 breast cancer model independently of the immunomodulatory and anti-metastatic effects of VEGFR-2 blockade. OncoImmunology. 6(6). e1316437–e1316437. 45 indexed citations
8.
Perkins, Géraldine, Sonia Garrigou, Fanny Garlan, et al.. (2016). Hypermethylated circulating DNA detection using picoliter droplet-based PCR in colorectal cancer.. Journal of Clinical Oncology. 34(4_suppl). 622–622. 1 indexed citations
9.
Peyvandi, Sanam, Stéphanie Buart, Boubekeur Samah, et al.. (2015). Fas Ligand Deficiency Impairs Tumor Immunity by Promoting an Accumulation of Monocytic Myeloid-Derived Suppressor Cells. Cancer Research. 75(20). 4292–4301. 25 indexed citations

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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2026