Giulia Daniele

1.1k total citations
8 papers, 212 citations indexed

About

Giulia Daniele is a scholar working on Molecular Biology, Hematology and Pathology and Forensic Medicine. According to data from OpenAlex, Giulia Daniele has authored 8 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Hematology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Giulia Daniele's work include Acute Myeloid Leukemia Research (2 papers), Acute Lymphoblastic Leukemia research (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). Giulia Daniele is often cited by papers focused on Acute Myeloid Leukemia Research (2 papers), Acute Lymphoblastic Leukemia research (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). Giulia Daniele collaborates with scholars based in Italy, United States and Germany. Giulia Daniele's co-authors include Clelia Tiziana Storlazzi, Alberto L’Abbate, Massimo Carella, Orazio Palumbo, Reinhard Ullmann, Maria Corsignano Guastadisegni, Klaas Kok, Stefania Purgato, Cecilia Surace and Angelo Lonoce and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Genome Research.

In The Last Decade

Giulia Daniele

6 papers receiving 208 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Giulia Daniele Italy	5	146	109	43	33	29	8	212
Doron Tolomeo Italy	8	180 1.2×	148 1.4×	31 0.7×	24 0.7×	24 0.8×	17	248
Michael Rusch United States	10	301 2.1×	89 0.8×	37 0.9×	43 1.3×	30 1.0×	14	376
Candace J. Poole United States	7	234 1.6×	51 0.5×	29 0.7×	55 1.7×	17 0.6×	10	298
Emmanuelle Barouk-Simonet France	4	160 1.1×	59 0.5×	93 2.2×	72 2.2×	70 2.4×	11	287
Eric Kusnadi Australia	10	284 1.9×	51 0.5×	28 0.7×	77 2.3×	20 0.7×	12	362
Kendra K. Maaß Germany	7	231 1.6×	111 1.0×	35 0.8×	44 1.3×	14 0.5×	19	307
Raymond Che United States	8	275 1.9×	70 0.6×	48 1.1×	55 1.7×	17 0.6×	8	315
Marion Bähr Germany	5	155 1.1×	40 0.4×	20 0.5×	25 0.8×	11 0.4×	5	198
Verena Rupp Austria	6	269 1.8×	92 0.8×	55 1.3×	30 0.9×	8 0.3×	7	336
Katharina Eirich Germany	6	313 2.1×	83 0.8×	145 3.4×	65 2.0×	34 1.2×	8	389

Countries citing papers authored by Giulia Daniele

Since Specialization

Citations

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

Fields of papers citing papers by Giulia Daniele

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giulia Daniele

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

Daniele, Giulia, Alberto L’Abbate, Orazio Palumbo, et al.. (2019). 1q23.1 homozygous deletion and downregulation of Fc receptor-like family genes confer poor prognosis in chronic lymphocytic leukemia. Clinical and Experimental Medicine. 19(2). 261–267. 3 indexed citations

2.

Grioni, Andrea, Grazia Fazio, Vojtěch Bystrý, et al.. (2019). A Simple RNA Target Capture NGS Strategy for Fusion Genes Assessment in the Diagnostics of Pediatric B‐cell Acute Lymphoblastic Leukemia. HemaSphere. 3(3). e250–e250. 10 indexed citations

3.

Storlazzi, Clelia Tiziana, Lisa Pieri, Chiara Paoli, et al.. (2014). Complex karyotype in a polycythemia vera patient with a novel SETD1B/GTF2H3 fusion gene. American Journal of Hematology. 89(4). 438–442. 8 indexed citations

4.

Starza, Roberta La, Gianluca Barba, Valentina Pierini, et al.. (2013). Multiple EWSR1-WT1 and WT1-EWSR1 copies in two cases of desmoplastic round cell tumor. Cancer Genetics. 206(11). 387–392. 13 indexed citations

5.

Gorello, Paolo, Valentina Pierini, Barbara Crescenzi, et al.. (2013). Inv(11)(p15q22)/NUP98-DDX10 fusion and isoforms in a new case of de novo acute myeloid leukemia. Cancer Genetics. 206(3). 92–96. 10 indexed citations

6.

Fazio, Grazia, Clelia Tiziana Storlazzi, Marco Severgnini, et al.. (2013). Novel Chimeric Transcripts Involving PAX5 in B-Cell Precursor ALL. Blood. 122(21). 1367–1367.

7.

Impera, Luciana, Giulia Daniele, Carmen Baldazzi, et al.. (2012). A Novel t(2;10)(q31;p12) Balanced Translocation in Acute Myeloid Leukemia. SHILAP Revista de lepidopterología. 4(4). e27–e27.

8.

Storlazzi, Clelia Tiziana, Angelo Lonoce, Maria Corsignano Guastadisegni, et al.. (2010). Gene amplification as double minutes or homogeneously staining regions in solid tumors: Origin and structure. Genome Research. 20(9). 1198–1206. 168 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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