Niccolò Bartalucci

86 total papers · 1.7k total citations
36 papers, 870 citations indexed

About

Niccolò Bartalucci is a scholar working on Genetics, Hematology and Molecular Biology. According to data from OpenAlex, Niccolò Bartalucci has authored 36 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Genetics, 22 papers in Hematology and 17 papers in Molecular Biology. Recurrent topics in Niccolò Bartalucci's work include Myeloproliferative Neoplasms: Diagnosis and Treatment (29 papers), Acute Myeloid Leukemia Research (12 papers) and Eosinophilic Disorders and Syndromes (11 papers). Niccolò Bartalucci is often cited by papers focused on Myeloproliferative Neoplasms: Diagnosis and Treatment (29 papers), Acute Myeloid Leukemia Research (12 papers) and Eosinophilic Disorders and Syndromes (11 papers). Niccolò Bartalucci collaborates with scholars based in Italy, United States and France. Niccolò Bartalucci's co-authors include Alessandro M. Vannucchi, Paola Guglielmelli, Costanza Bogani, Serena Martinelli, Lorenzo Tozzi, Alberto Bosi, Giada Rotunno, Francesco Mannelli, Ayalew Tefferi and Jean‐Luc Villeval and has published in prestigious journals such as Blood, Bioinformatics and PLoS ONE.

In The Last Decade

Niccolò Bartalucci

36 papers receiving 867 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Niccolò Bartalucci	649	529	440	226	59	36	870
Elisa Bianchi	348 0.5×	372 0.7×	463 1.1×	116 0.5×	70 1.2×	35	896
Shaheen Ahmed	213 0.3×	254 0.5×	341 0.8×	142 0.6×	107 1.8×	37	810
Fabrizio Martelli	423 0.7×	387 0.7×	336 0.8×	176 0.8×	41 0.7×	52	849
Francesca Pellicano	352 0.5×	568 1.1×	456 1.0×	128 0.6×	157 2.7×	27	989
Lynette Dunning	311 0.5×	593 1.1×	142 0.3×	187 0.8×	51 0.9×	21	938
Tetsuya Kurosu	179 0.3×	323 0.6×	469 1.1×	84 0.4×	185 3.1×	35	827
W. George Lanyon	360 0.6×	219 0.4×	483 1.1×	144 0.6×	73 1.2×	31	919
Francesca Crosti	87 0.1×	264 0.5×	277 0.6×	90 0.4×	73 1.2×	40	880
Baby G. Tholanikunnel	350 0.5×	135 0.3×	585 1.3×	96 0.4×	94 1.6×	33	1.0k
Lucia Bianchi	363 0.6×	366 0.7×	486 1.1×	125 0.6×	156 2.6×	24	965

Countries citing papers authored by Niccolò Bartalucci

Since Specialization

Citations

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

Fields of papers citing papers by Niccolò Bartalucci

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niccolò Bartalucci

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

All Works

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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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