Giulia Biondani

601 total citations
9 papers, 461 citations indexed

About

Giulia Biondani is a scholar working on Oncology, Cancer Research and Molecular Biology. According to data from OpenAlex, Giulia Biondani has authored 9 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 4 papers in Cancer Research and 3 papers in Molecular Biology. Recurrent topics in Giulia Biondani's work include Cancer Cells and Metastasis (5 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Giulia Biondani is often cited by papers focused on Cancer Cells and Metastasis (5 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). Giulia Biondani collaborates with scholars based in Italy, France and United Kingdom. Giulia Biondani's co-authors include Jean‐François Peyron, Marta Palmieri, Ilaria Dando, Elisa Dalla Pozza, Emmanuel Griessinger, Daniela Cecconi, Massimo Donadelli, Aldo Scarpa, Marco Cordani and Jessica Brandi and has published in prestigious journals such as FEBS Journal, Oxidative Medicine and Cellular Longevity and Cells.

In The Last Decade

Giulia Biondani

9 papers receiving 459 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Giulia Biondani Italy	9	283	182	171	42	39	9	461
Carolina Hassibe Thomé Brazil	14	308 1.1×	129 0.7×	112 0.7×	67 1.6×	41 1.1×	30	482
Silvia Grassilli Italy	14	308 1.1×	154 0.8×	166 1.0×	46 1.1×	17 0.4×	38	493
Yunhao Wu China	10	327 1.2×	226 1.2×	97 0.6×	55 1.3×	22 0.6×	14	436
Haoyi Jin China	13	402 1.4×	299 1.6×	108 0.6×	66 1.6×	31 0.8×	19	541
Xinpeng Shi China	11	341 1.2×	211 1.2×	140 0.8×	39 0.9×	19 0.5×	17	522
Hai Hu China	9	350 1.2×	110 0.6×	107 0.6×	85 2.0×	37 0.9×	10	475
Florence Polet Belgium	5	466 1.6×	456 2.5×	75 0.4×	55 1.3×	27 0.7×	6	662
Lu Xu China	15	463 1.6×	363 2.0×	97 0.6×	47 1.1×	35 0.9×	37	592
Junli Deng China	7	332 1.2×	180 1.0×	198 1.2×	55 1.3×	19 0.5×	8	498
Anupama Mane India	9	217 0.8×	130 0.7×	109 0.6×	32 0.8×	19 0.5×	21	378

Countries citing papers authored by Giulia Biondani

Since Specialization

Citations

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

Fields of papers citing papers by Giulia Biondani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Biondani

This figure shows the co-authorship network connecting the top 25 collaborators of Giulia Biondani. A scholar is included among the top collaborators of Giulia Biondani 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 Giulia Biondani. Giulia Biondani 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

1.

Gilles, Arnaud, Giulia Biondani, Ottilie von Loeffelholz, et al.. (2020). Targeting the Human 80S Ribosome in Cancer: From Structure to Function and Drug Design for Innovative Adjuvant Therapeutic Strategies. Cells. 9(3). 629–629. 47 indexed citations

2.

Biondani, Giulia & Jean‐François Peyron. (2018). Metformin, an Anti-diabetic Drug to Target Leukemia. Frontiers in Endocrinology. 9. 446–446. 38 indexed citations

3.

Biondani, Giulia, Katrine Zeeberg, Maria Raffaella Greco, et al.. (2018). Extracellular matrix composition modulates PDAC parenchymal and stem cell plasticity and behavior through the secretome. FEBS Journal. 285(11). 2104–2124. 37 indexed citations

4.

Griessinger, Emmanuel, et al.. (2017). Mitochondrial Transfer in the Leukemia Microenvironment. Trends in cancer. 3(12). 828–839. 68 indexed citations

5.

Brandi, Jessica, Elisa Dalla Pozza, Ilaria Dando, et al.. (2016). Secretome protein signature of human pancreatic cancer stem-like cells. Journal of Proteomics. 136. 1–12. 55 indexed citations

6.

Brandi, Jessica, Ilaria Dando, Elisa Dalla Pozza, et al.. (2016). Proteomic analysis of pancreatic cancer stem cells: Functional role of fatty acid synthesis and mevalonate pathways. Journal of Proteomics. 150. 310–322. 86 indexed citations

7.

Dando, Ilaria, Marco Cordani, Elisa Dalla Pozza, et al.. (2015). Antioxidant Mechanisms and ROS-Related MicroRNAs in Cancer Stem Cells. Oxidative Medicine and Cellular Longevity. 2015. 1–13. 48 indexed citations

8.

Dando, Ilaria, Elisa Dalla Pozza, Giulia Biondani, et al.. (2015). The metabolic landscape of cancer stem cells. IUBMB Life. 67(9). 687–693. 37 indexed citations

9.

Pozza, Elisa Dalla, Ilaria Dando, Giulia Biondani, et al.. (2014). Pancreatic ductal adenocarcinoma cell lines display a plastic ability to bi-directionally convert into cancer stem cells. International Journal of Oncology. 46(3). 1099–1108. 45 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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