I Bartosiewicz

516 total citations
7 papers, 406 citations indexed

About

I Bartosiewicz is a scholar working on Rheumatology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, I Bartosiewicz has authored 7 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Rheumatology, 5 papers in Immunology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in I Bartosiewicz's work include Rheumatoid Arthritis Research and Therapies (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Systemic Lupus Erythematosus Research (2 papers). I Bartosiewicz is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Systemic Lupus Erythematosus Research (2 papers). I Bartosiewicz collaborates with scholars based in Italy, Israel and United Kingdom. I Bartosiewicz's co-authors include Guido Valesini, Rossana Scrivo, M. Vasile, Carlo Perricone, Fabrizio Conti, Fulvia Ceccarelli, Cristiano Alessandri, Simona Truglia, Francesca Romana Spinelli and Laura Massaro and has published in prestigious journals such as PLoS ONE, Annals of the Rheumatic Diseases and Clinical & Experimental Immunology.

In The Last Decade

I Bartosiewicz

7 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
I Bartosiewicz Italy 5 137 117 86 40 37 7 406
Sarah Rogers United States 11 106 0.8× 323 2.8× 86 1.0× 5 0.1× 44 1.2× 25 659
Nidhi Mahajan India 5 70 0.5× 74 0.6× 82 1.0× 25 0.6× 29 0.8× 18 372
Valéria Nunes-Souza Brazil 10 83 0.6× 58 0.5× 148 1.7× 11 0.3× 77 2.1× 16 480
Katsushi Takahashi Japan 9 40 0.3× 45 0.4× 85 1.0× 15 0.4× 32 0.9× 14 358
Jagdish N. Sharma Kuwait 16 37 0.3× 71 0.6× 136 1.6× 13 0.3× 49 1.3× 35 689
A. O'Dowd United Kingdom 11 73 0.5× 50 0.4× 67 0.8× 3 0.1× 84 2.3× 21 423
Soyoung Won South Korea 15 316 2.3× 132 1.1× 97 1.1× 47 1.2× 64 1.7× 26 725
Dongxia Zhai China 12 19 0.1× 135 1.2× 165 1.9× 9 0.2× 37 1.0× 22 550
Shih‐Chien Huang Taiwan 13 104 0.8× 16 0.1× 126 1.5× 7 0.2× 77 2.1× 38 433
LaVerne L. Brown United States 10 24 0.2× 30 0.3× 125 1.5× 12 0.3× 88 2.4× 24 422

Countries citing papers authored by I Bartosiewicz

Since Specialization
Citations

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

Fields of papers citing papers by I Bartosiewicz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I Bartosiewicz

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

All Works

7 of 7 papers shown
1.
Ceccarelli, Fulvia, Germano Orrù, Andrea Pilloni, et al.. (2018). Porphyromonas gingivalis in the tongue biofilm is associated with clinical outcome in rheumatoid arthritis patients. Clinical & Experimental Immunology. 194(2). 244–252. 32 indexed citations
2.
Ceccarelli, Fulvia, Germano Orrù, Andrea Pilloni, et al.. (2017). FRI0045 Oral microbiome profile in rheumatoid arthritis patients: association between tongue biofilm porphyromonas gingivalis amount and disease activity. Annals of the Rheumatic Diseases. 76. 496–496. 1 indexed citations
3.
Alessandri, Cristiano, I Bartosiewicz, Monica Pendolino, et al.. (2016). Anti-carbamylated protein antibodies in unaffected first-degree relatives of rheumatoid arthritis patients: lack of correlation with anti-cyclic citrullinated protein antibodies and rheumatoid factor.. PubMed. 33(6). 824–30. 21 indexed citations
4.
Bartosiewicz, I, Cristiano Alessandri, Monica Pendolino, et al.. (2015). FRI0042 Anti-Carbamylated Protein Antibodies in Unaffected First-Degree Relatives of Rheumatoid Arthritis Patients: Lack of Correlation with Anti-Cyclic Citrullinated Protein Antibodies and Rheumatoid Factor. Annals of the Rheumatic Diseases. 74. 434–434. 2 indexed citations
5.
Conti, Fabrizio, Carlo Perricone, Gianpaolo Reboldi, et al.. (2014). Validation of a disease-specific health-related quality of life measure in adult Italian patients with systemic lupus erythematosus: LupusQoL-IT. Lupus. 23(8). 743–751. 38 indexed citations
6.
Conti, Fabrizio, Fulvia Ceccarelli, Carlo Perricone, et al.. (2012). Flare, Persistently Active Disease, and Serologically Active Clinically Quiescent Disease in Systemic Lupus Erythematosus: A 2-Year Follow-Up Study. PLoS ONE. 7(9). e45934–e45934. 57 indexed citations
7.
Scrivo, Rossana, M. Vasile, I Bartosiewicz, & Guido Valesini. (2010). Inflammation as “common soil” of the multifactorial diseases. Autoimmunity Reviews. 10(7). 369–374. 255 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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