Gino Santini

3.1k total citations
86 papers, 2.0k citations indexed

About

Gino Santini is a scholar working on Pathology and Forensic Medicine, Genetics and Oncology. According to data from OpenAlex, Gino Santini has authored 86 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Pathology and Forensic Medicine, 24 papers in Genetics and 24 papers in Oncology. Recurrent topics in Gino Santini's work include Lymphoma Diagnosis and Treatment (35 papers), Chronic Lymphocytic Leukemia Research (23 papers) and Acute Lymphoblastic Leukemia research (19 papers). Gino Santini is often cited by papers focused on Lymphoma Diagnosis and Treatment (35 papers), Chronic Lymphocytic Leukemia Research (23 papers) and Acute Lymphoblastic Leukemia research (19 papers). Gino Santini collaborates with scholars based in Italy, United States and United Kingdom. Gino Santini's co-authors include Teodoro Chisesi, E Damasio, Anthony H. Goldstone, S Nati, A Congiu, Angelo Michele Carella, Giuseppe Famularo, Sonia Moretti, G. Taghipour and Sonia Marcellini and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and Cancer.

In The Last Decade

Gino Santini

83 papers receiving 1.9k citations

Peers

Gino Santini
Comparison fields: 5 of 99
  • Pathology and Forensic Medicine 1.1k
  • Oncology 899
  • Hematology 460
  • Genetics 447
  • Neurology 370
Replace Naoto Tomita with:
Naoto Tomita Japan
Antoine Martin France
Henry E. Wilson United States
Christopher P. Fox United Kingdom
Gandhi Damaj France
Dennis Cooper United States
Patty M. Jansen Netherlands
Theodoros P. Vassilakopoulos Greece
Neta Goldschmidt Israel
G.J. Ossenkoppele Netherlands
Naoto Tomita Japan View profile →
Citations per field, relative to Gino Santini
Gino Santini · 1×
Citations per year, relative to Gino Santini
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Countries citing papers authored by Gino Santini

Since Specialization
Citations

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

Fields of papers citing papers by Gino Santini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gino Santini

This figure shows the co-authorship network connecting the top 25 collaborators of Gino Santini. A scholar is included among the top collaborators of Gino Santini 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 Gino Santini. Gino Santini 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
# Work Indexed citations
1 10
2 7
3 225
4 25
5 32
6
Fludarabine in combination with cyclophosphamide or with cyclophosphamide plus mitoxantrone for relapsed or refractory low-grade non-Hodgkin's lymphoma.
24
7 106
8 2
9
Autologous transplantation with peripheral blood stem cells in chronic lymphocytic leukemia
2
10 2
11 7
12 22
13 10
14 83
15 32
16 31
17 52
18 3
19 22
20 3

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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