Tamara Berno

683 citations
52 papers · 528 · h-index 14

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Multiple Myeloma Research and Treatments 24
    • Chronic Lymphocytic Leukemia Research 3

Tamara Berno

51 papers receiving 519 citations

Peers

Tamara Berno
Comparison fields: 5 of 31
  • Hematology 157
  • Genetics 39
  • Oncology 58
  • Internal Medicine 7
  • Molecular Biology 72
Replace Rajesh Belani with:
Rajesh Belani United States
Caroline L. Alvares United Kingdom
Sara Rohrabaugh United States
Chozha Vendan Rathinam United States
Jeremy Todd Larsen United States
Veronika Lysenko Switzerland
KS Zuckerman United States
Michael W. Thomas United States
Christopher Maximilian Arends Germany
Mathieu Wémeau France
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Citations per field
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Rajesh Belani · 1×
Citations per year

Countries citing papers authored by Tamara Berno

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Berno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tamara Berno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tamara Berno Line = papers co-authored together Tamara Berno links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201766
2 201742
3 201637
4 201135
5 202028
6 200527
7 201326
8 201724
9 201420
10 201319
11 202017
12 201914
13 201914
14 202314
15 201811
16
Bortezomib, Thalidomide and Lenalidomide: Have They Really Changed the Outcome of Multiple Myeloma?
201610
17 20129
18 20129
19 20148
20 20127

About Tamara Berno

Tamara Berno is a scholar working on Hematology, Genetics, Molecular Biology, Neurology and Immunology, having authored 52 papers that have together received 528 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (24 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (10 papers), Chronic Lymphocytic Leukemia Research (3 papers), Peripheral Neuropathies and Disorders (2 papers), Immune Cell Function and Interaction (2 papers), SARS-CoV-2 and COVID-19 Research (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Bone health and treatments (1 paper). The work is most often cited by research in Hematology (157 citations), Genetics (39 citations), Oncology (58 citations), Internal Medicine (7 citations) and Molecular Biology (72 citations). Tamara Berno has collaborated with scholars based in Italy, United States and Canada. Frequent co-authors include Renato Zambello, Maurizio Zangari, Chiara Briani, Gianpietro Semenzato, Gregorio Barilà, Marta Campagnolo, Livio Trentin, Monica Facco, Francesco Piazza and Alessandro Salvalaggio. Their work appears in journals such as Blood, European Journal Of Haematology, Frontiers in Oncology, Blood Coagulation & Fibrinolysis and British Journal of Haematology.

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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