Daniele Tibullo

272 total papers · 5.3k total citations
180 papers, 3.8k citations indexed

About

Daniele Tibullo is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Daniele Tibullo has authored 180 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Molecular Biology, 52 papers in Hematology and 39 papers in Immunology. Recurrent topics in Daniele Tibullo's work include Immune cells in cancer (20 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (20 papers) and Acute Myeloid Leukemia Research (19 papers). Daniele Tibullo is often cited by papers focused on Immune cells in cancer (20 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (20 papers) and Acute Myeloid Leukemia Research (19 papers). Daniele Tibullo collaborates with scholars based in Italy, United States and Saudi Arabia. Daniele Tibullo's co-authors include Cesarina Giallongo, Giovanni Li Volti, Francesco Di Raimondo, Giuseppe A. Palumbo, Michelino Di Rosa, Ignazio Barbagallo, Nunziatina Laura Parrinello, Alessandra Romano, Nunzio Vicario and Roberto Avola and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Daniele Tibullo

173 papers receiving 3.8k citations

Author Peers

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

Author Last Decade Papers Cites
Daniele Tibullo 1.7k 655 589 528 527 180 3.8k
Izumi Hayashi 1.9k 1.1× 619 0.9× 276 0.5× 1.0k 2.0× 721 1.4× 152 5.0k
Frank Thévenod 2.1k 1.2× 271 0.4× 576 1.0× 369 0.7× 632 1.2× 127 5.9k
Donald B. Bloch 2.3k 1.3× 601 0.9× 442 0.8× 427 0.8× 280 0.5× 120 5.8k
Joshua L. Dunaief 3.6k 2.1× 540 0.8× 989 1.7× 682 1.3× 425 0.8× 147 6.9k
Jean‐Loup Bascands 1.9k 1.1× 536 0.8× 375 0.6× 1.2k 2.3× 244 0.5× 155 4.7k
Junling Liu 1.6k 0.9× 607 0.9× 883 1.5× 221 0.4× 469 0.9× 180 4.0k
Hiroaki Miyajima 1.7k 1.0× 809 1.2× 1.7k 2.8× 617 1.2× 404 0.8× 227 6.7k
Caroline Wheeler‐Jones 1.5k 0.9× 483 0.7× 279 0.5× 179 0.3× 253 0.5× 131 3.9k
Luca M. Neri 3.3k 1.9× 483 0.7× 420 0.7× 259 0.5× 669 1.3× 150 5.1k
Amalia Bosìa 2.0k 1.1× 831 1.3× 259 0.4× 282 0.5× 932 1.8× 146 5.4k

Countries citing papers authored by Daniele Tibullo

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Tibullo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Tibullo

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