Luca A. Lotta
- Nephrology top 2%
- Renal Diseases and Glomerulopathies 8
- Hematology top 2%
- Blood Coagulation and Thrombosis Mechanisms 9
- Platelet Disorders and Treatments 9
- Blood groups and transfusion 6
- Genetics top 5%
- Genetic Associations and Epidemiology 14
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 12
- Immunology top 5%
- Complement system in diseases 13
- Internal Medicine top 5%
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- Liver Disease Diagnosis and Treatment 8
- Co-authors
- Claudia LangenbergFlora PeyvandiNicholas J. WarehamRoberta PallaStephen J. SharpIsabella GaragiolaFelix R. DayJian’an Luan
- Cited by
- NephrologyHematologyGenetics
- Journals
- Cell (1 paper)Proceedings of the National Academy of Sciences (1 paper)The Lancet (1 paper)
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Luca A. Lotta
64 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 109
- Nephrology 290
- Hematology 443
- Genetics 283
- Immunology 560
- Internal Medicine 84
Countries citing papers authored by Luca A. Lotta
This map shows the geographic impact of Luca A. Lotta'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 Luca A. Lotta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca A. Lotta more than expected).
Fields of papers citing papers by Luca A. Lotta
This network shows the impact of papers produced by Luca A. Lotta. 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 Luca A. Lotta. The network helps show where Luca A. Lotta may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Luca A. Lotta, 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 | 6 | |
| 2 | 2024 | 5 | |
| 3 | 2024 | 6 | |
| 4 | 2023 | 21 | |
| 5 | 2022 | 4 | |
| 6 | 2022 | 0 | |
| 7 | 2021 | 7 | |
| 8 | 2021 | 15 | |
| 9 | 2021 | 9 | |
| 10 | 2020 | 14 | |
| 11 | 2018 | 110 | |
| 12 | 2016 | 49 | |
| 13 | 2015 | 49 | |
| 14 | 2014 | 19 | |
| 15 | 2013 | 12 | |
| 16 | 2013 | 42 | |
| 17 | Genome-Wide Association Studies in Myocardial Infarction and Coronary Artery Disease | 2010 | 3 |
| 18 | 2010 | 40 | |
| 19 | 2010 | 29 | |
| 20 | 2009 | 120 |
About Luca A. Lotta
Luca A. Lotta is a scholar working on Hematology, Nephrology and Genetics, having authored 67 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (14 papers), Complement system in diseases (13 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (12 papers), Blood Coagulation and Thrombosis Mechanisms (9 papers), Platelet Disorders and Treatments (9 papers), Renal Diseases and Glomerulopathies (8 papers), Liver Disease Diagnosis and Treatment (8 papers) and Blood groups and transfusion (6 papers). The work is most often cited by research in Nephrology (290 citations), Hematology (443 citations) and Genetics (283 citations). Luca A. Lotta has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Claudia Langenberg, Flora Peyvandi, Nicholas J. Wareham, Roberta Palla, Stephen J. Sharp, Isabella Garagiola, Felix R. Day, Jian’an Luan, Aris Baras and John R. B. Perry. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and The Lancet.
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.