Alessandra Cesano

7.6k total citations · 1 hit paper
172 papers, 4.1k citations indexed

About

Alessandra Cesano is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Alessandra Cesano has authored 172 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Oncology, 73 papers in Immunology and 54 papers in Molecular Biology. Recurrent topics in Alessandra Cesano's work include CAR-T cell therapy research (34 papers), Cancer Immunotherapy and Biomarkers (33 papers) and Immune Cell Function and Interaction (33 papers). Alessandra Cesano is often cited by papers focused on CAR-T cell therapy research (34 papers), Cancer Immunotherapy and Biomarkers (33 papers) and Immune Cell Function and Interaction (33 papers). Alessandra Cesano collaborates with scholars based in United States, Italy and Canada. Alessandra Cesano's co-authors include D Santoli, S Visonneau, Francesco M. Marincola, Lina Matera, Sarah Warren, Urte Gayko, David M. Goldenberg, David Kritchevsky, Hans J. Hansen and Patrick Danaher and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and Blood.

In The Last Decade

Alessandra Cesano

163 papers receiving 4.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Pan-cancer adaptive immune resistance as defined by the Tumor Inflammation Signature (TIS): results from The Cancer Genome Atlas (TCGA)

2018 294 citations Patrick Danaher, Sarah Warren et al. Journal for ImmunoTherapy of Cancer profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alessandra Cesano United States	34	1.7k	1.6k	1.0k	628	598	172	4.1k
Ronald Herbst United States	39	2.0k 1.2×	2.8k 1.7×	2.4k 2.4×	925 1.5×	647 1.1×	130	6.5k
Walter C. Darbonne United States	26	1.9k 1.1×	1.5k 1.0×	2.7k 2.7×	494 0.8×	407 0.7×	46	6.1k
Cornelis L. Verweij Netherlands	34	1.4k 0.8×	2.0k 1.3×	2.4k 2.4×	225 0.4×	660 1.1×	62	6.1k
Reinhard von Wasielewski Germany	33	1.3k 0.7×	677 0.4×	1.5k 1.5×	443 0.7×	496 0.8×	102	3.9k
Erlend B. Smeland Norway	45	1.5k 0.8×	2.0k 1.2×	2.4k 2.4×	204 0.3×	998 1.7×	155	5.4k
Hisanori Umehara Japan	47	1.3k 0.8×	1.8k 1.1×	2.6k 2.6×	355 0.6×	476 0.8×	158	7.8k
Howard Streicher United States	27	1.8k 1.0×	1.2k 0.7×	910 0.9×	760 1.2×	304 0.5×	105	3.5k
Kamal D. Puri United States	33	872 0.5×	2.0k 1.2×	2.1k 2.1×	405 0.6×	692 1.2×	52	4.9k
Elaine M. Hurt United States	35	2.4k 1.4×	2.0k 1.3×	3.1k 3.1×	638 1.0×	457 0.8×	59	6.3k
Birgitta Sander Sweden	37	1.3k 0.7×	1.4k 0.9×	1.0k 1.0×	298 0.5×	1.5k 2.4×	141	4.4k

Countries citing papers authored by Alessandra Cesano

Since Specialization

Citations

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

Fields of papers citing papers by Alessandra Cesano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandra Cesano

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

All Works

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20 of 20 papers shown

Mallardo, Domenico, Jakob Vowinckel, Michael Bailey, et al.. (2024). A Combined Proteomic and Transcriptomic Signature Is Predictive of Response to Anti-PD-1 Treatment: A Retrospective Study in Metastatic Melanoma Patients. International Journal of Molecular Sciences. 25(17). 9345–9345. 6 indexed citations

Mallardo, Domenico, Margaret Ottaviano, Maria Grazia Vitale, et al.. (2024). ICOSLG Is Associated with Anti-PD-1 and Concomitant Antihistamine Treatment Response in Advanced Melanoma. International Journal of Molecular Sciences. 25(22). 12439–12439. 1 indexed citations

Mallardo, Domenico, Andrew White, Margaret Ottaviano, et al.. (2023). CD39 and LDHA affects the prognostic role of NLR in metastatic melanoma patients treated with immunotherapy. Journal of Translational Medicine. 21(1). 610–610. 19 indexed citations

Chatta, Gurkamal, Christos E. Kyriakopoulos, Nicholas Iannotti, et al.. (2023). 1813P Phase I/II trial of oral EPI-7386 in combination with enzalutamide (enz) compared to enz alone in metastatic castration-resistant prostate cancer (mCRPC) subjects: Current phase I (PI) results. Annals of Oncology. 34. S982–S983. 4 indexed citations

Li, Xiaotong, Sarah Warren, Vasiliki Pelekanou, et al.. (2019). Immune profiling of pre- and post-treatment breast cancer tissues from the SWOG S0800 neoadjuvant trial. Journal for ImmunoTherapy of Cancer. 7(1). 88–88. 46 indexed citations

Danaher, Patrick, Sarah Warren, Rongze Lu, et al.. (2018). Pan-cancer adaptive immune resistance as defined by the Tumor Inflammation Signature (TIS): results from The Cancer Genome Atlas (TCGA). Journal for ImmunoTherapy of Cancer. 6(1). 63–63. 294 indexed citations breakdown →

Vadakekolathu, Jayakumar, Tasleema Patel, Stephen Reeder, et al.. (2017). Immune gene expression profiling in children and adults with acute myeloid leukemia identifies distinct phenotypic patterns. Blood. 130. 3942–3942. 9 indexed citations

Masucci, Giuseppe, Alessandra Cesano, Alexander M.M. Eggermont, et al.. (2017). The need for a network to establish and validate predictive biomarkers in cancer immunotherapy. Journal of Translational Medicine. 15(1). 223–223. 25 indexed citations

Dobbin, Kevin K., Alessandra Cesano, John Alvarez, et al.. (2016). Validation of biomarkers to predict response to immunotherapy in cancer: Volume II — clinical validation and regulatory considerations. Journal for ImmunoTherapy of Cancer. 4(1). 77–77. 78 indexed citations

10.

Cesano, Alessandra. (2015). nCounter® PanCancer Immune Profiling Panel (NanoString Technologies, Inc., Seattle, WA). Journal for ImmunoTherapy of Cancer. 3(1). 42–42. 105 indexed citations

11.

Longo, Diane, Jason Ptacek, Santosh Putta, et al.. (2014). High-dimensional analysis of the aging immune system: Verification of age-associated differences in immune signaling responses in healthy donors. Journal of Translational Medicine. 12(1). 178–178. 5 indexed citations

12.

Cesano, Alessandra & David C. Spellmeyer. (2013). Immune System Functional Pathway Analysis Using Single Cell Network Profiling (SCNP): A Novel Tool in Cancer Immunotherapy. Methods in molecular biology. 1102. 583–599. 4 indexed citations

13.

Cesano, Alessandra, David B. Rosen, Santosh Putta, et al.. (2012). Functional pathway analysis in acute myeloid leukemia using single cell network profiling assay: Effect of specimen source (bone marrow or peripheral blood) on assay readouts. Cytometry Part B Clinical Cytometry. 82B(3). 158–172. 23 indexed citations

14.

Huang, Ying-Wen, et al.. (2011). Association of Reactive Oxygen Species-Mediated Signal Transduction with In Vitro Apoptosis Sensitivity in Chronic Lymphocytic Leukemia B Cells. PLoS ONE. 6(10). e24592–e24592. 16 indexed citations

15.

Kornblau, Steven M., Mark D. Minden, David B. Rosen, et al.. (2010). Dynamic Single-Cell Network Profiles in Acute Myelogenous Leukemia Are Associated with Patient Response to Standard Induction Therapy. Clinical Cancer Research. 16(14). 3721–3733. 46 indexed citations

16.

Covey, Todd, Santosh Putta, & Alessandra Cesano. (2010). Single Cell Network Profiling (SCNP): Mapping Drug and Target Interactions. Assay and Drug Development Technologies. 8(3). 320–338. 7 indexed citations

17.

Rosen, David B., Santosh Putta, Todd Covey, et al.. (2010). Distinct Patterns of DNA Damage Response and Apoptosis Correlate with Jak/Stat and PI3Kinase Response Profiles in Human Acute Myelogenous Leukemia. PLoS ONE. 5(8). e12405–e12405. 24 indexed citations

18.

Carnahan, Josette, Paul Wang, Richard Kendall, et al.. (2003). Epratuzumab, a Humanized Monoclonal Antibody Targeting CD22. Clinical Cancer Research. 9(10). 5 indexed citations

19.

Matera, Lina, et al.. (1992). Modulatory effect of prolactin on the resting and mitogen-induced activity of T, B, and NK lymphocytes. Brain Behavior and Immunity. 6(4). 409–417. 94 indexed citations

20.

Matera, Lina, E. Ciccarelli, Giampiero Muccioli, et al.. (1992). Normal development of Lymphokine Activated Killing (LAK) in peripheral blood lymphocytes from hyperprolactinemic patients. International Journal of Immunopharmacology. 14(7). 1235–1240. 3 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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