Alexander de Giorgio

736 total citations
8 papers, 420 citations indexed

About

Alexander de Giorgio is a scholar working on Cancer Research, Molecular Biology and Oncology. According to data from OpenAlex, Alexander de Giorgio has authored 8 papers receiving a total of 420 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cancer Research, 6 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Alexander de Giorgio's work include MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (4 papers) and RNA Research and Splicing (3 papers). Alexander de Giorgio is often cited by papers focused on MicroRNA in disease regulation (6 papers), Cancer-related molecular mechanisms research (4 papers) and RNA Research and Splicing (3 papers). Alexander de Giorgio collaborates with scholars based in United Kingdom, Italy and Netherlands. Alexander de Giorgio's co-authors include Justin Stebbing, Leandro Castellano, Jonathan Krell, Ylenia Lombardo, Victoria Harding, R. Charles Coombes, Adam E. Frampton, Silvia Ottaviani, Long R. Jiao and Nicholas R. Lemoine and has published in prestigious journals such as The Lancet, Nature Communications and Molecular and Cellular Biology.

In The Last Decade

Alexander de Giorgio

8 papers receiving 416 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexander de Giorgio United Kingdom	8	315	256	116	25	23	8	420
Verónica Moncho-Amor Spain	8	263 0.8×	128 0.5×	96 0.8×	34 1.4×	22 1.0×	15	366
Jinxue Tong China	9	270 0.9×	138 0.5×	90 0.8×	25 1.0×	27 1.2×	19	347
Dongli Zhao China	10	241 0.8×	154 0.6×	59 0.5×	33 1.3×	30 1.3×	21	350
Woo Chan Shin South Korea	8	356 1.1×	188 0.7×	73 0.6×	17 0.7×	25 1.1×	11	421
Xinhua Xie China	10	420 1.3×	338 1.3×	99 0.9×	37 1.5×	32 1.4×	12	551
Faying Xu China	4	289 0.9×	115 0.4×	105 0.9×	36 1.4×	23 1.0×	6	391
Gargi Maity United States	12	243 0.8×	147 0.6×	127 1.1×	67 2.7×	34 1.5×	24	412
Xian-Zi Yang China	8	225 0.7×	95 0.4×	95 0.8×	28 1.1×	30 1.3×	8	320
Caroline R. Amendola United States	6	214 0.7×	133 0.5×	111 1.0×	20 0.8×	24 1.0×	6	319
Zhaoshen Li China	10	366 1.2×	119 0.5×	169 1.5×	18 0.7×	22 1.0×	20	440

Countries citing papers authored by Alexander de Giorgio

Since Specialization

Citations

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

Fields of papers citing papers by Alexander de Giorgio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexander de Giorgio. 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 Alexander de Giorgio. The network helps show where Alexander de Giorgio may publish in the future.

Co-authorship network of co-authors of Alexander de Giorgio

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

All Works

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8 of 8 papers shown

1.

Ottaviani, Silvia, Justin Stebbing, Adam E. Frampton, et al.. (2018). TGF-β induces miR-100 and miR-125b but blocks let-7a through LIN28B controlling PDAC progression. Nature Communications. 9(1). 1845–1845. 101 indexed citations

2.

Krell, Jonathan, Justin Stebbing, Claudia Carissimi, et al.. (2015). TP53 regulates miRNA association with AGO2 to remodel the miRNA–mRNA interaction network. Genome Research. 26(3). 331–341. 43 indexed citations

3.

Krell, Jonathan, Justin Stebbing, Adam E. Frampton, et al.. (2015). The role of TP53 in miRNA loading onto AGO2 and in remodelling the miRNA–mRNA interaction network. The Lancet. 385. S15–S15. 21 indexed citations

4.

Lombardo, Ylenia, Alexander de Giorgio, R. Charles Coombes, Justin Stebbing, & Leandro Castellano. (2015). Mammosphere Formation Assay from Human Breast Cancer Tissues and Cell Lines. Journal of Visualized Experiments. 95 indexed citations

5.

Lombardo, Ylenia, Alexander de Giorgio, R. Charles Coombes, Justin Stebbing, & Leandro Castellano. (2015). Mammosphere Formation Assay from Human Breast Cancer Tissues and Cell Lines. Journal of Visualized Experiments. 19 indexed citations

6.

Ottaviani, Silvia, Alexander de Giorgio, Victoria Harding, Justin Stebbing, & Leandro Castellano. (2014). Noncoding RNAs and the control of hormonal signaling via nuclear receptor regulation. Journal of Molecular Endocrinology. 53(2). R61–R70. 11 indexed citations

7.

Pinho, Filipa G., Adam E. Frampton, João Nunes, et al.. (2013). Downregulation of microRNA-515-5p by the Estrogen Receptor Modulates Sphingosine Kinase 1 and Breast Cancer Cell Proliferation. Cancer Research. 73(19). 5936–5948. 67 indexed citations

8.

Giorgio, Alexander de, Jonathan Krell, Victoria Harding, Justin Stebbing, & Leandro Castellano. (2013). Emerging Roles of Competing Endogenous RNAs in Cancer: Insights from the Regulation of PTEN. Molecular and Cellular Biology. 33(20). 3976–3982. 63 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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