Valentina Nardi
- Hematology top 0.5%
- Acute Myeloid Leukemia Research 19
- Chronic Myeloid Leukemia Treatments 19
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research 19
- Myeloproliferative Neoplasms: Diagnosis and Treatment 11
- Oncology top 2%
- Cancer Research top 5%
- Cancer Genomics and Diagnostics 14
- Rheumatology top 2%
- Eosinophilic Disorders and Syndromes 10
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- Lymphoma Diagnosis and Treatment 21
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- Hematological disorders and diagnostics 11
- Co-authors
- George Q. DaleyOlaia NaveirasPamela L. WenzelPeter V. HauschkaFrederic H. FaheyMohammad AzamA. John IafrateRobert P. Hasserjian
- Cited by
- HematologyGeneticsOncology
- Partner nations
- United StatesItalySpain
In The Last Decade
Valentina Nardi
121 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Hematology 1.2k
- Genetics 794
- Oncology 1.1k
- Cancer Research 417
- Rheumatology 384
Countries citing papers authored by Valentina Nardi
This map shows the geographic impact of Valentina Nardi'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 Valentina Nardi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Valentina Nardi more than expected).
Fields of papers citing papers by Valentina Nardi
This network shows the impact of papers produced by Valentina Nardi. 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 Valentina Nardi. The network helps show where Valentina Nardi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Valentina Nardi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 9 | |
| 5 | 2022 | 18 | |
| 6 | 2022 | 6 | |
| 7 | 2022 | 7 | |
| 8 | 2021 | 25 | |
| 9 | 2021 | 1 | |
| 10 | 2020 | 13 | |
| 11 | 2019 | 131 | |
| 12 | 2019 | 25 | |
| 13 | 2018 | 2 | |
| 14 | 2017 | 9 | |
| 15 | 2015 | 86 | |
| 16 | 2014 | 318 | |
| 17 | A Diverse Array of Cancer-Associated MTOR Mutations Are Hyperactivating and Can Predict Rapamycin Sensitivity | 2014 | 17 |
| 18 | 2012 | 87 | |
| 19 | 2012 | 40 | |
| 20 | Bone-marrow adipocytes as negative regulators of the haematopoietic microenvironmentbreakdown → | 2009 | 831 |
About Valentina Nardi
Valentina Nardi is a scholar working on Hematology, Genetics and Pathology and Forensic Medicine, having authored 127 papers that have together received 4.0k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (21 papers), Chronic Lymphocytic Leukemia Research (19 papers), Acute Myeloid Leukemia Research (19 papers), Chronic Myeloid Leukemia Treatments (19 papers), Cancer Genomics and Diagnostics (14 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (11 papers), Hematological disorders and diagnostics (11 papers) and Eosinophilic Disorders and Syndromes (10 papers). The work is most often cited by research in Hematology (1.2k citations), Genetics (794 citations) and Oncology (1.1k citations). Valentina Nardi has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include George Q. Daley, Olaia Naveiras, Pamela L. Wenzel, Peter V. Hauschka, Frederic H. Fahey, Mohammad Azam, A. John Iafrate, Robert P. Hasserjian, Dora Dias‐Santagata and David M. Sabatini. Their work appears in journals such as Blood, Modern Pathology, New England Journal of Medicine, The American Journal of Surgical Pathology and Journal of Clinical Oncology.
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.