Ivan Limongelli
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Sensory Systems top 5%
- Ion Channels and Receptors
Papers in
- Genetics 21
- Genomics and Rare Diseases 17
- Genomic variations and chromosomal abnormalities 4
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- Artificial Intelligence in Healthcare and Education 2
- Co-authors
- Riccardo Bellazzi (12 shared papers)Susanna Zucca (7 shared papers)Giovanna Nicora (6 shared papers)Simone Marini (3 shared papers)Orsetta Zuffardi (8 shared papers)Annalisa Vetro (7 shared papers)Paolo Magni (3 shared papers)Ettore Rizzo (7 shared papers)
- Journals
- Human Mutation (3 papers)European Journal of Human Genetics (3 papers)BMC Bioinformatics (2 papers)Blood (1 paper)Canadian Journal of Cardiology (1 paper)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Ivan Limongelli
28 papers receiving 988 citations
Peers
Comparison fields: 5 of 74
- Hematology 233
- Sensory Systems 80
- Health Informatics 32
- Genetics 245
- Physiology 190
Countries citing papers authored by Ivan Limongelli
This map shows the geographic impact of Ivan Limongelli'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 Ivan Limongelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Limongelli more than expected).
Fields of papers citing papers by Ivan Limongelli
This network shows the impact of papers produced by Ivan Limongelli. 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 Ivan Limongelli. The network helps show where Ivan Limongelli may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Limongelli, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 256 | |
| 2 | 2016 | 213 | |
| 3 | 2017 | 63 | |
| 4 | 2014 | 51 | |
| 5 | 2022 | 48 | |
| 6 | 2015 | 47 | |
| 7 | 2015 | 41 | |
| 8 | 2018 | 35 | |
| 9 | 2024 | 33 | |
| 10 | 2018 | 30 | |
| 11 | 2015 | 28 | |
| 12 | 2024 | 27 | |
| 13 | 2014 | 22 | |
| 14 | 2015 | 18 | |
| 15 | 2019 | 14 | |
| 16 | 2024 | 13 | |
| 17 | 2017 | 12 | |
| 18 | 2024 | 11 | |
| 19 | 2013 | 10 | |
| 20 | 2015 | 8 |
About Ivan Limongelli
Ivan Limongelli is a scholar working on Genetics, Health Informatics, Psychiatry and Mental health, Health Information Management and Molecular Biology, having authored 29 papers that have together received 1k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (17 papers), Genomic variations and chromosomal abnormalities (4 papers), Epilepsy research and treatment (3 papers), Electronic Health Records Systems (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), DNA Repair Mechanisms (2 papers), Cancer Genomics and Diagnostics (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Hematology (233 citations), Sensory Systems (80 citations), Health Informatics (32 citations), Genetics (245 citations) and Physiology (190 citations). Ivan Limongelli has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Riccardo Bellazzi, Susanna Zucca, Giovanna Nicora, Simone Marini, Orsetta Zuffardi, Annalisa Vetro, Paolo Magni, Ettore Rizzo, Leonardo Salviati and Alberto L. Malovini. Their work appears in journals such as Human Mutation, European Journal of Human Genetics, BMC Bioinformatics, Blood and Canadian Journal of Cardiology.
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.