Valter Redoglia

962 total citations
25 papers, 814 citations indexed

About

Valter Redoglia is a scholar working on Immunology, Hematology and Molecular Biology. According to data from OpenAlex, Valter Redoglia has authored 25 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 12 papers in Hematology and 10 papers in Molecular Biology. Recurrent topics in Valter Redoglia's work include Multiple Myeloma Research and Treatments (11 papers), Immune Cell Function and Interaction (8 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Valter Redoglia is often cited by papers focused on Multiple Myeloma Research and Treatments (11 papers), Immune Cell Function and Interaction (8 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Valter Redoglia collaborates with scholars based in Italy, United States and Finland. Valter Redoglia's co-authors include Umberto Dianzani, Manuela Bragardo, Alessandro Pileri, Donatella Buonfiglio, Daniela DiFranco, Fabio Malavasi, Mario Boccadoro, Sara Bonissoni, Charles A. Janeway and Massimo Massaia and has published in prestigious journals such as Journal of Clinical Oncology, Blood and The Journal of Immunology.

In The Last Decade

Valter Redoglia

25 papers receiving 787 citations

Peers

Valter Redoglia
Comparison fields: 5 of 62
  • Immunology 433
  • Molecular Biology 255
  • Hematology 246
  • Oncology 202
  • Physiology 133
Replace M H Holguin with:
M H Holguin United States
DG Poplack United States
H Nishigaki Japan
Ugo Consoli Italy
C J Carrera United States
Takayuki Nakazawa Japan
Jean B. Robinson Canada
Tina J. Boeld Germany
MR Grever United States
Yingzhe Yu China
M H Holguin United States View profile →
Citations per field, relative to Valter Redoglia
Valter Redoglia · 1×
Citations per year, relative to Valter Redoglia
Valter Redoglia · 1×

Countries citing papers authored by Valter Redoglia

Since Specialization
Citations

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

Fields of papers citing papers by Valter Redoglia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valter Redoglia

This figure shows the co-authorship network connecting the top 25 collaborators of Valter Redoglia. A scholar is included among the top collaborators of Valter Redoglia 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 Valter Redoglia. Valter Redoglia 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 1
2 8
3 35
4 24
5 26
6 137
7 52
8 44
9 81
10 38
11 60
12 4
13 58
14 15
15 4
16
Emergence of activated lymphocytes in CD4 and CD8 subpopulations of multiple myeloma: correlation with the expansion of suppressor T-cells (CD8+ OKM1+) and ecto-5'nucleotidase deficiency.
10
17 14
18 4
19 15
20 5

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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