Francesca Sarno

499 total citations
9 papers, 333 citations indexed

About

Francesca Sarno is a scholar working on Oncology, Immunology and Cancer Research. According to data from OpenAlex, Francesca Sarno has authored 9 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 4 papers in Immunology and 4 papers in Cancer Research. Recurrent topics in Francesca Sarno's work include Cancer Genomics and Diagnostics (4 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Single-cell and spatial transcriptomics (2 papers). Francesca Sarno is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Single-cell and spatial transcriptomics (2 papers). Francesca Sarno collaborates with scholars based in Spain, United States and Italy. Francesca Sarno's co-authors include Manuel Hidalgo, Pedro P. López‐Casas, Fernando López‐Ríos, Elena Garralda, Arantza Azpilikueta, Ignacio Melero, Carlos Alfaro, Miguel F. Sanmamed, Aizea Morales‐Kastresana and Maria Jure–Kunkel and has published in prestigious journals such as Cancer Research, Clinical Cancer Research and European Journal of Cancer.

In The Last Decade

Francesca Sarno

9 papers receiving 326 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Francesca Sarno Spain	6	232	112	108	75	54	9	333
Meleah Cameron United States	3	244 1.1×	130 1.2×	38 0.4×	141 1.9×	46 0.9×	6	386
Betelehem W. Yacob United States	10	201 0.9×	71 0.6×	102 0.9×	141 1.9×	22 0.4×	15	349
Christian Vay Germany	9	314 1.4×	202 1.8×	54 0.5×	205 2.7×	33 0.6×	14	468
Magdalena Książkiewicz Poland	7	238 1.0×	116 1.0×	64 0.6×	143 1.9×	26 0.5×	7	328
Masaki Murase Japan	6	232 1.0×	89 0.8×	93 0.9×	170 2.3×	29 0.5×	8	341
Zeinab Ghazvinian Iran	6	152 0.7×	63 0.6×	68 0.6×	97 1.3×	34 0.6×	8	283
Elena Menietti Switzerland	5	219 0.9×	81 0.7×	69 0.6×	174 2.3×	22 0.4×	7	357
Hanlin Mok United States	5	187 0.8×	70 0.6×	90 0.8×	292 3.9×	29 0.5×	7	462
Lorena Alonso‐Alconada Spain	12	223 1.0×	216 1.9×	55 0.5×	247 3.3×	29 0.5×	20	478
Mitsuhiko Murakami Japan	4	222 1.0×	88 0.8×	72 0.7×	138 1.8×	26 0.5×	6	351

Countries citing papers authored by Francesca Sarno

Since Specialization

Citations

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

Fields of papers citing papers by Francesca Sarno

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Sarno

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

All Works

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9 of 9 papers shown

Huebner, Ariana, James R. Black, Francesca Sarno, et al.. (2023). ACT-Discover: identifying karyotype heterogeneity in pancreatic cancer evolution using ctDNA. Genome Medicine. 15(1). 27–27. 6 indexed citations

Hidalgo, Manuel, Francesca Sarno, Rocio García‐Carbonero, et al.. (2022). Abstract CT225: A randomized trial of integrated genomics, organoids and avatar mouse models for personalized treatment of pancreatic cancer. Cancer Research. 82(12_Supplement). CT225–CT225. 1 indexed citations

Sarno, Francesca, Paolo Bevilacqua, Valentina Mollo, et al.. (2021). Targeting Nanostrategies for Imaging of Atherosclerosis. Contrast Media & Molecular Imaging. 2021. 1–10. 12 indexed citations

Toledo, Rodrigo A., Antonio Cubillo, Estela Vega, et al.. (2016). Clinical validation of prospective liquid biopsy monitoring in patients with wild-type RAS metastatic colorectal cancer treated with FOLFIRI-cetuximab. Oncotarget. 8(21). 35289–35300. 46 indexed citations

Céspedes, María Virtudes, María José Guillén, Pedro P. López‐Casas, et al.. (2016). Lurbinectedin induces depletion of tumor-associated macrophages (TAM), an essential component of its in vivo synergism with gemcitabine. Disease Models & Mechanisms. 9(12). 1461–1471. 26 indexed citations

Sanmamed, Miguel F., Inmaculada Rodríguez, Kurt A. Schalper, et al.. (2015). Nivolumab and Urelumab Enhance Antitumor Activity of Human T Lymphocytes Engrafted in Rag2−/−IL2Rγnull Immunodeficient Mice. Cancer Research. 75(17). 3466–3478. 129 indexed citations

Sanmamed, Miguel F., Inmaculada Rodríguez, Carmen Oñate, et al.. (2015). Abstract 261: Nivolumab and urelumab enhance antitumor activity of human T lymphocytes engrafted in Rag2-/-IL2Rγnull immunodeficient mice. Cancer Research. 75(15_Supplement). 261–261. 4 indexed citations

Garralda, Elena, Keren Paz, Pedro P. López‐Casas, et al.. (2014). Integrated Next-Generation Sequencing and Avatar Mouse Models for Personalized Cancer Treatment. Clinical Cancer Research. 20(9). 2476–2484. 107 indexed citations

Guillén, María José, et al.. (2014). 55 Low, frequent doses of PM060184 induce remarkable in vivo antitumor activity. European Journal of Cancer. 50. 23–23. 2 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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