Daniela Paccagnini

784 total citations
19 papers, 525 citations indexed

About

Daniela Paccagnini is a scholar working on Epidemiology, Pharmacology and Immunology. According to data from OpenAlex, Daniela Paccagnini has authored 19 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Epidemiology, 8 papers in Pharmacology and 8 papers in Immunology. Recurrent topics in Daniela Paccagnini's work include Mycobacterium research and diagnosis (15 papers), Pharmacological Effects of Natural Compounds (8 papers) and Helicobacter pylori-related gastroenterology studies (6 papers). Daniela Paccagnini is often cited by papers focused on Mycobacterium research and diagnosis (15 papers), Pharmacological Effects of Natural Compounds (8 papers) and Helicobacter pylori-related gastroenterology studies (6 papers). Daniela Paccagnini collaborates with scholars based in Italy, India and Greece. Daniela Paccagnini's co-authors include Leonardo A. Sechi, Davide Cossu, Speranza Masala, Niyaz Ahmed, Valentina Rosu, A. Pacifico, Maria Giovanna Marrosu, Jessica Frau, Eleonora Cocco and Stefania Zanetti and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Clinical Microbiology.

In The Last Decade

Daniela Paccagnini

19 papers receiving 512 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniela Paccagnini Italy 14 362 154 150 128 91 19 525
Speranza Masala Italy 18 551 1.5× 162 1.1× 162 1.1× 231 1.8× 241 2.6× 25 779
Sunghyun Kim South Korea 13 222 0.6× 26 0.2× 223 1.5× 64 0.5× 143 1.6× 60 521
Nahed Baddour Egypt 12 113 0.3× 21 0.1× 73 0.5× 63 0.5× 19 0.2× 38 518
Chenghong Yin China 11 120 0.3× 23 0.1× 130 0.9× 25 0.2× 23 0.3× 27 461
Zhihong Wan China 16 213 0.6× 36 0.2× 87 0.6× 62 0.5× 76 0.8× 30 482
Fotini Debonera United States 9 129 0.4× 19 0.1× 246 1.6× 112 0.9× 73 0.8× 18 579
Nassim Hammoudi France 11 213 0.6× 6 0.0× 136 0.9× 89 0.7× 40 0.4× 35 498
Moon‐Ju Kim South Korea 14 105 0.3× 9 0.1× 146 1.0× 408 3.2× 70 0.8× 25 669
AnnKatrin Petersen United States 5 200 0.6× 23 0.1× 109 0.7× 105 0.8× 20 0.2× 12 483
Liviu A. Sicinschi United States 15 96 0.3× 14 0.1× 186 1.2× 421 3.3× 51 0.6× 22 1.0k

Countries citing papers authored by Daniela Paccagnini

Since Specialization
Citations

This map shows the geographic impact of Daniela Paccagnini'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 Daniela Paccagnini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Paccagnini more than expected).

Fields of papers citing papers by Daniela Paccagnini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Paccagnini. 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 Daniela Paccagnini. The network helps show where Daniela Paccagnini may publish in the future.

Co-authorship network of co-authors of Daniela Paccagnini

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Paccagnini. A scholar is included among the top collaborators of Daniela Paccagnini 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 Daniela Paccagnini. Daniela Paccagnini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Erre, Gian Luca, Giuseppe Mameli, Davide Cossu, et al.. (2015). Increased Epstein-Barr Virus DNA Load and Antibodies Against EBNA1 and EA in Sardinian Patients with Rheumatoid Arthritis. Viral Immunology. 28(7). 385–390. 24 indexed citations
3.
Niegowska, Magdalena, et al.. (2015). Recognition of ZnT8, Proinsulin, and Homologous MAP Peptides in Sardinian Children at Risk of T1D Precedes Detection of Classical Islet Antibodies. Journal of Diabetes Research. 2016. 1–8. 15 indexed citations
4.
Masala, Speranza, Davide Cossu, Magdalena Niegowska, et al.. (2015). Lack of humoral response against Helicobacter pylori peptides homologous to human ZnT8 in Hashimoto’s thyroiditis patients. The Journal of Infection in Developing Countries. 9(6). 631–634. 6 indexed citations
6.
Cossu, Davide, Speranza Masala, Eleonora Cocco, et al.. (2013). Association of Mycobacterium avium subsp. paratuberculosis and SLC11A1 polymorphisms in Sardinian multiple sclerosis patients. The Journal of Infection in Developing Countries. 7(3). 203–207. 21 indexed citations
7.
Frau, Jessica, Davide Cossu, Giancarlo Coghe, et al.. (2013). Mycobacterium avium subsp. paratuberculosis and multiple sclerosis in Sardinian patients: epidemiology and clinical features. Multiple Sclerosis Journal. 19(11). 1437–1442. 31 indexed citations
9.
Bitti, Maria Luisa Manca, Speranza Masala, Novella Rapini, et al.. (2012). Mycobacterium aviumsubsp.paratuberculosisin an Italian Cohort of Type 1 Diabetes Pediatric Patients. SHILAP Revista de lepidopterología. 2012. 1–5. 26 indexed citations
10.
Cossu, Davide, Speranza Masala, Eleonora Cocco, et al.. (2012). Are Mycobacterium avium subsp. paratuberculosis and Epstein–Barr virus triggers of multiple sclerosis in Sardinia?. Multiple Sclerosis Journal. 18(8). 1181–1184. 30 indexed citations
11.
Cossu, Andrea, Valentina Rosu, Daniela Paccagnini, et al.. (2011). MAP3738c and MptD are specific tags of Mycobacterium avium subsp. paratuberculosis infection in type I diabetes mellitus. Clinical Immunology. 141(1). 49–57. 42 indexed citations
12.
Masala, Speranza, Daniela Paccagnini, Davide Cossu, et al.. (2011). Antibodies Recognizing Mycobacterium avium paratuberculosis Epitopes Cross-React with the Beta-Cell Antigen ZnT8 in Sardinian Type 1 Diabetic Patients. PLoS ONE. 6(10). e26931–e26931. 53 indexed citations
13.
Cossu, Davide, Eleonora Cocco, Daniela Paccagnini, et al.. (2011). Association of Mycobacterium avium subsp. paratuberculosis with Multiple Sclerosis in Sardinian Patients. PLoS ONE. 6(4). e18482–e18482. 78 indexed citations
14.
Gazouli, Maria, Emmanouil Liandris, Μαργαρίτα Ανδρεάδου, et al.. (2010). Specific Detection of Unamplified Mycobacterial DNA by Use of Fluorescent Semiconductor Quantum Dots and Magnetic Beads. Journal of Clinical Microbiology. 48(8). 2830–2835. 32 indexed citations
15.
Rosu, Valentina, Niyaz Ahmed, Daniela Paccagnini, et al.. (2009). Specific Immunoassays Confirm Association of Mycobacterium avium Subsp. paratuberculosis with Type-1 but Not Type-2 Diabetes Mellitus. PLoS ONE. 4(2). e4386–e4386. 51 indexed citations
16.
Paccagnini, Daniela, Lee E. Sieswerda, Valentina Rosu, et al.. (2009). Linking Chronic Infection and Autoimmune Diseases: Mycobacterium avium Subspecies paratuberculosis, SLC11A1 Polymorphisms and Type-1 Diabetes Mellitus. PLoS ONE. 4(9). e7109–e7109. 51 indexed citations
17.
Gazouli, Maria, Leonardo A. Sechi, Daniela Paccagnini, et al.. (2008). NRAMP1Polymorphism and Viral Factors in Sardinian Multiple Sclerosis Patients. Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques. 35(4). 491–494. 13 indexed citations
18.
Rosu, Valentina, Niyaz Ahmed, Daniela Paccagnini, et al.. (2008). Mycobacterium avium subspecies paratuberculosis is not associated with Type-2 Diabetes Mellitus. Annals of Clinical Microbiology and Antimicrobials. 7(1). 9–9. 15 indexed citations
19.
Sechi, Leonardo A., Giovanna E. Felis, Niyaz Ahmed, et al.. (2007). Genome and transcriptome scale portrait of sigma factors in Mycobacterium avium subsp. paratuberculosis. Infection Genetics and Evolution. 7(4). 424–432. 11 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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