Luca A. Lotta

15.2k total citations
67 papers, 2.4k citations indexed

About

Luca A. Lotta is a scholar working on Genetics, Hematology and Immunology. According to data from OpenAlex, Luca A. Lotta has authored 67 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 20 papers in Hematology and 15 papers in Immunology. Recurrent topics in Luca A. Lotta's work include Genetic Associations and Epidemiology (14 papers), Complement system in diseases (13 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (12 papers). Luca A. Lotta is often cited by papers focused on Genetic Associations and Epidemiology (14 papers), Complement system in diseases (13 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (12 papers). Luca A. Lotta collaborates with scholars based in Italy, United States and United Kingdom. Luca A. Lotta's 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 and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Luca A. Lotta

64 papers receiving 2.3k citations

Peers

Luca A. Lotta
Ingiäld Hafström Sweden
Anders Mälarstig Sweden
Young Hee Rho South Korea
Weihong Tang United States
Peggy Sekula Germany
Annette Oeser United States
Joseph F. Solus United States
Krzysztof Lewandowski Poland
Adam M. Smiles United States
Barry I. Joffe South Africa
Ingiäld Hafström Sweden
Luca A. Lotta
Citations per year, relative to Luca A. Lotta Luca A. Lotta (= 1×) peers Ingiäld Hafström

Countries citing papers authored by Luca A. Lotta

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Luca A. Lotta

This figure shows the co-authorship network connecting the top 25 collaborators of Luca A. Lotta. A scholar is included among the top collaborators of Luca A. Lotta based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Luca A. Lotta. Luca A. Lotta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Šmagris, Ēriks, Heather M. Brown, Niek Verweij, et al.. (2024). Divergent role of Mitochondrial Amidoxime Reducing Component 1 (MARC1) in human and mouse. PLoS Genetics. 20(3). e1011179–e1011179. 6 indexed citations
2.
Giontella, Alice, Mikael Åkerlund, Cristiano Fava, et al.. (2024). Deficiency of Peptidylglycine-alpha-amidating Monooxygenase, a Cause of Sarcopenic Diabetes Mellitus. The Journal of Clinical Endocrinology & Metabolism. 110(3). 820–829. 5 indexed citations
3.
Gaynor, Sheila M., Tyler Joseph, Yuxin Zou, et al.. (2024). Yield of genetic association signals from genomes, exomes and imputation in the UK Biobank. Nature Genetics. 56(11). 2345–2351. 6 indexed citations
4.
Adam, Rene C., Yuanqi Zhao, Soo Min, et al.. (2023). Activin E–ACVR1C cross talk controls energy storage via suppression of adipose lipolysis in mice. Proceedings of the National Academy of Sciences. 120(32). e2309967120–e2309967120. 21 indexed citations
5.
Giontella, Alice, Luca A. Lotta, Aris Baras, et al.. (2022). Calcium, Its Regulatory Hormones, and Their Causal Role on Blood Pressure: A Two-Sample Mendelian Randomization Study. The Journal of Clinical Endocrinology & Metabolism. 107(11). 3080–3085. 4 indexed citations
6.
Giontella, Alice, Luca A. Lotta, John D. Overton, et al.. (2022). THE CAUSAL ROLE OF SERUM CALCIUM, PTH AND FGF23 ON BLOOD PRESSURE: A TWO-SAMPLE MENDELIAN RANDOMIZATION. Journal of Hypertension. 40(Suppl 1). e39–e40.
7.
Giontella, Alice, Luca A. Lotta, John D. Overton, et al.. (2021). Causal Effect of Adiposity Measures on Blood Pressure Traits in 2 Urban Swedish Cohorts: A Mendelian Randomization Study. Journal of the American Heart Association. 10(13). e020405–e020405. 7 indexed citations
8.
Sun, Jiangming, Yunpeng Wang, Lasse Folkersen, et al.. (2021). Translating polygenic risk scores for clinical use by estimating the confidence bounds of risk prediction. Nature Communications. 12(1). 5276–5276. 15 indexed citations
9.
Gao, Chuan, Anthony Marcketta, Joshua Backman, et al.. (2021). Genome‐wide association analysis of serum alanine and aspartate aminotransferase, and the modifying effects of BMI in 388k European individuals. Genetic Epidemiology. 45(6). 664–681. 9 indexed citations
10.
Giontella, Alice, Marketa Sjögren, Luca A. Lotta, et al.. (2020). Clinical Evaluation of the Polygenetic Background of Blood Pressure in the Population-Based Setting. Hypertension. 77(1). 169–177. 14 indexed citations
11.
Langenberg, Claudia & Luca A. Lotta. (2018). Genomic insights into the causes of type 2 diabetes. The Lancet. 391(10138). 2463–2474. 110 indexed citations
12.
Abbasi, Ali, Luca A. Lotta, Julia Brosnan, et al.. (2016). A Systematic Review of Biomarkers and Risk of Incident Type 2 Diabetes: An Overview of Epidemiological, Prediction and Aetiological Research Literature. PLoS ONE. 11(10). e0163721–e0163721. 49 indexed citations
13.
Maino, Alberto, Bob Siegerink, Luca A. Lotta, et al.. (2015). Plasma ADAMTS‐13 levels and the risk of myocardial infarction: an individual patient data meta‐analysis. Journal of Thrombosis and Haemostasis. 13(8). 1396–1404. 49 indexed citations
14.
Mancini, Ilaria, Carla Valsecchi, Luca A. Lotta, et al.. (2014). FRETS-VWF73 rather than CBA assay reflects ADAMTS13 proteolytic activity in acquired thrombotic thrombocytopenic purpura patients. Thrombosis and Haemostasis. 112(8). 297–303. 19 indexed citations
15.
Lotta, Luca A., Haifeng Wu, Khaled M. Musallam, & Flora Peyvandi. (2013). The emerging concept of residual ADAMTS13 activity in ADAMTS13-deficient thrombotic thrombocytopenic purpura. Blood Reviews. 27(2). 71–76. 12 indexed citations
16.
Lotta, Luca A., Giacomo Tuana, Jin Yu, et al.. (2013). Next‐generation sequencing study finds an excess of rare, coding single‐nucleotide variants of ADAMTS13 in patients with deep vein thrombosis. Journal of Thrombosis and Haemostasis. 11(7). 1228–1239. 42 indexed citations
17.
Mannucci, Pier Mannuccio, Luca A. Lotta, & Flora Peyvandi. (2010). Genome-Wide Association Studies in Myocardial Infarction and Coronary Artery Disease. SHILAP Revista de lepidopterología. 3 indexed citations
18.
Mannucci, Pier Mannuccio, Rosanna Asselta, Stefano Duga, et al.. (2010). The association of factor V Leiden with myocardial infarction is replicated in 1880 patients with premature disease. Journal of Thrombosis and Haemostasis. 8(10). 2116–2121. 40 indexed citations
19.
Saracini, Claudia, Paola Bolli, Alberto Magi, et al.. (2010). Early-onset ischaemic stroke: Analysis of 58 polymorphisms in 17 genes involved in methionine metabolism. Thrombosis and Haemostasis. 104(8). 231–242. 29 indexed citations
20.
Lotta, Luca A., et al.. (2009). ADAMTS13mutations and polymorphisms in congenital thrombotic thrombocytopenic purpura. Human Mutation. 31(1). 11–19. 120 indexed citations

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.

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