Giacomo Volpe

2.3k total citations
23 papers, 273 citations indexed

About

Giacomo Volpe is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Giacomo Volpe has authored 23 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Hematology and 5 papers in Immunology. Recurrent topics in Giacomo Volpe's work include Acute Myeloid Leukemia Research (10 papers), RNA Research and Splicing (4 papers) and Epigenetics and DNA Methylation (3 papers). Giacomo Volpe is often cited by papers focused on Acute Myeloid Leukemia Research (10 papers), RNA Research and Splicing (4 papers) and Epigenetics and DNA Methylation (3 papers). Giacomo Volpe collaborates with scholars based in United Kingdom, China and Germany. Giacomo Volpe's co-authors include Jon Frampton, Stéphanie Dumon, Paloma García, Carl Ward, Laura P. O’Neill, W. Del Pozzo, David S. Walton, Emilie Dassé, Miguel A. Esteban and Nicola K. Wilson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Giacomo Volpe

22 papers receiving 272 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giacomo Volpe United Kingdom 11 191 90 39 37 29 23 273
Lisa von Paleske Germany 4 245 1.3× 86 1.0× 49 1.3× 51 1.4× 35 1.2× 6 316
Petra Zeisberger Germany 5 268 1.4× 99 1.1× 63 1.6× 58 1.6× 36 1.2× 11 349
Himalee S. Sabnis United States 8 123 0.6× 85 0.9× 44 1.1× 47 1.3× 30 1.0× 20 234
Gue Su Chang United States 8 196 1.0× 120 1.3× 31 0.8× 47 1.3× 41 1.4× 13 288
Sonali Narang United States 6 255 1.3× 134 1.5× 32 0.8× 50 1.4× 40 1.4× 9 326
Xinghui Zhao China 8 194 1.0× 81 0.9× 21 0.5× 33 0.9× 35 1.2× 16 245
Chunlan Hua China 9 147 0.8× 53 0.6× 38 1.0× 60 1.6× 32 1.1× 12 234
Anton Willer Denmark 6 371 1.9× 92 1.0× 40 1.0× 35 0.9× 33 1.1× 7 434
Jennifer Jaques Netherlands 7 290 1.5× 149 1.7× 41 1.1× 77 2.1× 30 1.0× 8 361
Yuichiro Semba Japan 12 203 1.1× 60 0.7× 25 0.6× 29 0.8× 30 1.0× 35 305

Countries citing papers authored by Giacomo Volpe

Since Specialization
Citations

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

Fields of papers citing papers by Giacomo Volpe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giacomo Volpe

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

All Works

20 of 20 papers shown
1.
Zaccaria, Gian Maria, Maria Carmela Vegliante, Giacomo Volpe, et al.. (2023). A Decision-tree Approach to Stratify DLBCL Risk Based on Stromal and Immune Microenvironment Determinants. HemaSphere. 7(4). e862–e862. 5 indexed citations
2.
Jiang, Yujia, Shijie Hao, Xi Chen, et al.. (2022). Spatial Transcriptome Uncovers the Mouse Lung Architectures and Functions. Frontiers in Genetics. 13. 5 indexed citations
3.
Guo, Xiangpeng, Muqddas Tariq, Yiwei Lai, et al.. (2021). Capture of the newly transcribed RNA interactome using click chemistry. Nature Protocols. 16(11). 5193–5219. 12 indexed citations
4.
Lv, Yuan, Chen Bu, Carl Ward, et al.. (2021). Global Profiling of the Lysine Crotonylome in Different Pluripotent States. Genomics Proteomics & Bioinformatics. 19(1). 80–93. 13 indexed citations
5.
Yu, Yeya, Xiaoyu Wei, Qiuting Deng, et al.. (2021). Single-Nucleus Chromatin Accessibility Landscape Reveals Diversity in Regulatory Regions Across Distinct Adult Rat Cortex. Frontiers in Molecular Neuroscience. 14. 651355–651355. 12 indexed citations
6.
Yuan, Yue, Qiuting Deng, Xiaoyu Wei, et al.. (2021). The Chromatin Accessibility Landscape of Adult Rat. Frontiers in Genetics. 12. 651604–651604.
7.
Kanwal, Shahzina, Xiangpeng Guo, Carl Ward, et al.. (2020). Role of Long Non-Coding RNAs in Reprogramming to Induced Pluripotency. Genomics Proteomics & Bioinformatics. 18(1). 16–25. 9 indexed citations
8.
Kwon, So Yeon, Karen A. Massey, Mark A. Watson, et al.. (2020). Oxidised metabolites of the omega-6 fatty acid linoleic acid activate dFOXO. Life Science Alliance. 3(2). e201900356–e201900356. 22 indexed citations
9.
Ibañez, David P., Wenxia Fan, Ping Zhao, et al.. (2020). Generation of an induced pluripotent stem cell line (GIBHi004-A) from a Parkinson’s disease patient with mutant DJ-1/PARK7 (p.L10P). Stem Cell Research. 46. 101845–101845. 2 indexed citations
10.
Ward, Carl, Pierre Cauchy, Paloma García, et al.. (2020). High WBP5 expression correlates with elevation of HOX genes levels and is associated with inferior survival in patients with acute myeloid leukaemia. Scientific Reports. 10(1). 3505–3505. 8 indexed citations
11.
Luo, Zhiwei, Xiaobing Qing, Christina Benda, et al.. (2019). Nuclear-cytoplasmic shuttling of class IIa histone deacetylases regulates somatic cell reprogramming. SHILAP Revista de lepidopterología. 8(1). 21–29. 10 indexed citations
12.
Volpe, Giacomo, Pierre Cauchy, David S. Walton, et al.. (2019). Dependence on Myb expression is attenuated in myeloid leukaemia with N-terminal CEBPA mutations. Life Science Alliance. 2(2). e201800207–e201800207. 5 indexed citations
13.
Heyes, Elizabeth, Thomas Eder, Giacomo Volpe, et al.. (2019). CEBPA-mutated leukemia is sensitive to genetic and pharmacological targeting of the MLL1 complex. Leukemia. 33(7). 1608–1619. 26 indexed citations
14.
Bayley, Rachel, Stéphanie Dumon, Giacomo Volpe, et al.. (2018). MYBL2 Supports DNA Double Strand Break Repair in Hematopoietic Stem Cells. Cancer Research. 78(20). 5767–5779. 18 indexed citations
15.
Ward, Carl, Giacomo Volpe, Pierre Cauchy, et al.. (2018). Fine-Tuning Mybl2 Is Required for Proper Mesenchymal-to-Epithelial Transition during Somatic Reprogramming. Cell Reports. 24(6). 1496–1511.e8. 14 indexed citations
16.
Volpe, Giacomo, David S. Walton, Carl Ward, et al.. (2017). Prognostic significance of high GFI1 expression in AML of normal karyotype and its association with a FLT3-ITD signature. Scientific Reports. 7(1). 11148–11148. 10 indexed citations
17.
Volpe, Giacomo, Lozan Sheriff, D. Walton, et al.. (2016). Transcriptional regulation of SPROUTY2 by MYB influences myeloid cell proliferation and stem cell properties by enhancing responsiveness to IL-3. Leukemia. 31(4). 957–966. 9 indexed citations
18.
Volpe, Giacomo, David S. Walton, W. Del Pozzo, et al.. (2013). C/EBPα and MYB regulate FLT3 expression in AML. Leukemia. 27(7). 1487–1496. 25 indexed citations
19.
Dassé, Emilie, Giacomo Volpe, David S. Walton, et al.. (2012). Distinct regulation of c-myb gene expression by HoxA9, Meis1 and Pbx proteins in normal hematopoietic progenitors and transformed myeloid cells. Blood Cancer Journal. 2(6). e76–e76. 20 indexed citations
20.
Dumon, Stéphanie, David S. Walton, Giacomo Volpe, et al.. (2012). Itga2b Regulation at the Onset of Definitive Hematopoiesis and Commitment to Differentiation. PLoS ONE. 7(8). e43300–e43300. 24 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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