Veronica Tintori

36 total papers · 491 total citations
19 papers, 201 citations indexed

About

Veronica Tintori is a scholar working on Hematology, Genetics and Neurology. According to data from OpenAlex, Veronica Tintori has authored 19 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 6 papers in Genetics and 5 papers in Neurology. Recurrent topics in Veronica Tintori's work include Hematopoietic Stem Cell Transplantation (7 papers), Neuroblastoma Research and Treatments (5 papers) and Blood disorders and treatments (3 papers). Veronica Tintori is often cited by papers focused on Hematopoietic Stem Cell Transplantation (7 papers), Neuroblastoma Research and Treatments (5 papers) and Blood disorders and treatments (3 papers). Veronica Tintori collaborates with scholars based in Italy. Veronica Tintori's co-authors include Gabriella Bernini, Fábio C. Tucci, Lawrence Faulkner, Franco Bambi, Alberto Garaventa, Angela Tamburini, A. Lippi, Chiara Azzari, Federica Genovese and Roberto Luksch and has published in prestigious journals such as Journal of Clinical Oncology, CHEST Journal and Frontiers in Immunology.

In The Last Decade

Veronica Tintori

14 papers receiving 198 citations

Author Peers

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

Author Last Decade Papers Cites
Veronica Tintori 72 64 47 39 34 19 201
Tsuneaki Hirakawa 98 1.4× 31 0.5× 82 1.7× 16 0.4× 21 0.6× 20 247
Maxim Yankelevich 25 0.3× 49 0.8× 102 2.2× 42 1.1× 10 0.3× 20 191
N Katano 87 1.2× 23 0.4× 55 1.2× 17 0.4× 22 0.6× 19 236
Rainer Kaiser 62 0.9× 36 0.6× 31 0.7× 49 1.3× 17 0.5× 17 241
Rabea Wagener 21 0.3× 25 0.4× 36 0.8× 23 0.6× 40 1.2× 26 233
Ewelina Mamcarz 97 1.3× 26 0.4× 59 1.3× 89 2.3× 7 0.2× 22 169
Taizo A. Nakano 44 0.6× 30 0.5× 69 1.5× 57 1.5× 6 0.2× 30 238
M.-P. Pagès 91 1.3× 13 0.2× 31 0.7× 21 0.5× 44 1.3× 14 196
Ravnit Grewal 99 1.4× 17 0.3× 59 1.3× 32 0.8× 19 0.6× 19 260
Ryota Hosoya 57 0.8× 30 0.5× 14 0.3× 15 0.4× 13 0.4× 19 166

Countries citing papers authored by Veronica Tintori

Since Specialization
Citations

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

Fields of papers citing papers by Veronica Tintori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Veronica Tintori

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