Davide Luciani
Impact in
- Hematology top 1%
- Platelet Disorders and Treatments
- Blood Coagulation and Thrombosis Mechanisms
- Rheumatology top 1%
- Systemic Lupus Erythematosus Research
Papers in
- Co-authors
- Guido BertoliniTiziano BarbuiMonica GalliDaniele PoolePaola CogoStefano FinazziFabio StellaBruno Simini
- Journals
- Intensive Care Medicine (2 papers)Blood (2 papers)Artificial Intelligence in Medicine (1 paper)Journal of Thrombosis and Haemostasis (1 paper)Emergency Medicine Journal (1 paper)
- Partner nations
- ItalyUnited KingdomAustralia
In The Last Decade
Davide Luciani
20 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Hematology 640
- Rheumatology 863
- Internal Medicine 142
- Critical Care and Intensive Care Medicine 124
- Nephrology 156
Countries citing papers authored by Davide Luciani
This map shows the geographic impact of Davide Luciani'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 Davide Luciani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Luciani more than expected).
Fields of papers citing papers by Davide Luciani
This network shows the impact of papers produced by Davide Luciani. 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 Davide Luciani. The network helps show where Davide Luciani may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Luciani, 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 | 2024 | 1 | |
| 2 | 2021 | 3 | |
| 3 | 2017 | 5 | |
| 4 | A Generalization of the Noisy-MAX Parameterization for Biomedical Applications | 2016 | 1 |
| 5 | 2014 | 89 | |
| 6 | 2012 | 3 | |
| 7 | 2011 | 109 | |
| 8 | 2011 | 14 | |
| 9 | 2011 | 4 | |
| 10 | 2011 | 31 | |
| 11 | 2010 | 24 | |
| 12 | 2010 | 21 | |
| 13 | 2007 | 17 | |
| 14 | 2007 | 115 | |
| 15 | 2007 | 8 | |
| 16 | 2006 | 13 | |
| 17 | 2003 | 13 | |
| 18 | 2003 | 300 | |
| 19 | Lupus anticoagulants are stronger risk factors for thrombosis than anticardiolipin antibodies in the antiphospholipid syndrome: a systematic review of the literature Hit paper breakdown → | 2003 | 714 |
| 20 | 2002 | 5 |
About Davide Luciani
Davide Luciani is a scholar working on Internal Medicine, Critical Care and Intensive Care Medicine, Toxicology, Statistics, Probability and Uncertainty and Small Animals, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bayesian Modeling and Causal Inference (4 papers), Effects and risks of endocrine disrupting chemicals (2 papers), Machine Learning in Healthcare (2 papers), Animal testing and alternatives (2 papers), Chemistry and Chemical Engineering (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Sepsis Diagnosis and Treatment (2 papers) and Systemic Lupus Erythematosus Research (2 papers). The work is most often cited by research in Hematology (640 citations), Rheumatology (863 citations), Internal Medicine (142 citations), Critical Care and Intensive Care Medicine (124 citations) and Nephrology (156 citations). Davide Luciani has collaborated with scholars based in Italy, United Kingdom and Australia. Frequent co-authors include Guido Bertolini, Tiziano Barbui, Monica Galli, Monica Galli, Daniele Poole, Paola Cogo, Stefano Finazzi, Fabio Stella, Bruno Simini and E. Gatti. Their work appears in journals such as Intensive Care Medicine, Blood, Artificial Intelligence in Medicine, Journal of Thrombosis and Haemostasis and Emergency Medicine Journal.
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.