Daniel Landi
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
- Hemoglobinopathies and Related Disorders
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- Neuroblastoma Research and Treatments
Papers in
- Genetics 26
- Glioma Diagnosis and Treatment 24
- Virus-based gene therapy research 3
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- Protein Degradation and Inhibitors 3
- Co-authors
- David M. Ashley (23 shared papers)Eric M. Thompson (10 shared papers)Nirmish Shah (4 shared papers)Meenakshi Hegde (4 shared papers)Radhika Shah (2 shared papers)Laura M. De Castro (2 shared papers)Darell D. Bigner (9 shared papers)Annick Desjardins (15 shared papers)
- Journals
- Neuro-Oncology (15 papers)Journal of Clinical Oncology (8 papers)Journal of Pediatric Hematology/Oncology (3 papers)Journal of Neuro-Oncology (2 papers)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Daniel Landi
45 papers receiving 287 citations
Peers
Comparison fields: 5 of 59
- Genetics 165
- Neurology 53
- Internal Medicine 12
- Hematology 28
- Oncology 64
Countries citing papers authored by Daniel Landi
This map shows the geographic impact of Daniel Landi'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 Daniel Landi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Landi more than expected).
Fields of papers citing papers by Daniel Landi
This network shows the impact of papers produced by Daniel Landi. 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 Daniel Landi. The network helps show where Daniel Landi may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Landi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 38 | |
| 2 | 2023 | 29 | |
| 3 | 2011 | 25 | |
| 4 | 2015 | 24 | |
| 5 | 2023 | 17 | |
| 6 | 2023 | 11 | |
| 7 | 2018 | 10 | |
| 8 | 2023 | 9 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 9 | |
| 11 | [Sclerotic dentin: aetio-pathogenetic hypotheses]. | 2003 | 9 |
| 12 | 2011 | 8 | |
| 13 | 2014 | 8 | |
| 14 | 2018 | 6 | |
| 15 | 2020 | 6 | |
| 16 | 2022 | 5 | |
| 17 | 2013 | 5 | |
| 18 | 2023 | 5 | |
| 19 | 2023 | 4 | |
| 20 | 2024 | 4 |
About Daniel Landi
Daniel Landi is a scholar working on Genetics, Molecular Biology, Oncology, Neurology and Immunology, having authored 52 papers that have together received 292 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (24 papers), Neuroblastoma Research and Treatments (10 papers), Cancer Research and Treatments (6 papers), Immunotherapy and Immune Responses (6 papers), CAR-T cell therapy research (5 papers), Cytomegalovirus and herpesvirus research (5 papers), Protein Degradation and Inhibitors (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Genetics (165 citations), Neurology (53 citations), Internal Medicine (12 citations), Hematology (28 citations) and Oncology (64 citations). Daniel Landi has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include David M. Ashley, Eric M. Thompson, Nirmish Shah, Meenakshi Hegde, Radhika Shah, Laura M. De Castro, Darell D. Bigner, Annick Desjardins, Nabil Ahmed and Courtney D. Thornburg. Their work appears in journals such as Neuro-Oncology, Journal of Clinical Oncology, Journal of Pediatric Hematology/Oncology, Journal of Neuro-Oncology and Clinical Cancer Research.
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.