Paola Borgiani

4.0k total citations
137 papers, 2.6k citations indexed

About

Paola Borgiani is a scholar working on Molecular Biology, Rheumatology and Immunology. According to data from OpenAlex, Paola Borgiani has authored 137 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 30 papers in Rheumatology and 27 papers in Immunology. Recurrent topics in Paola Borgiani's work include Systemic Lupus Erythematosus Research (16 papers), MicroRNA in disease regulation (13 papers) and Diabetes and associated disorders (12 papers). Paola Borgiani is often cited by papers focused on Systemic Lupus Erythematosus Research (16 papers), MicroRNA in disease regulation (13 papers) and Diabetes and associated disorders (12 papers). Paola Borgiani collaborates with scholars based in Italy, United States and United Kingdom. Paola Borgiani's co-authors include Giuseppe Novelli, Cinzia Ciccacci, Andrea Latini, F. Gloria‐Bottini, Davide Di Fusco, Carlo Perricone, Sara Rufini, Cristina Politi, Emiliano Giardina and Vincenza Spallone and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Paola Borgiani

131 papers receiving 2.6k citations

Peers

Paola Borgiani
Comparison fields: 5 of 118
  • Molecular Biology 846
  • Immunology 556
  • Rheumatology 387
  • Cancer Research 356
  • Genetics 321
Replace Andreas E. Kremer with:
Andreas E. Kremer Germany
Akihiro Sekine Japan
Maja T. Lindenmeyer Germany
Arnaud François France
Karen W. Makar United States
Soo Jung Park South Korea
Jer‐Yuarn Wu Taiwan
Deqing Pei United States
Balraj Mittal India
Jean‐Baptiste Demoulin Belgium
Andreas E. Kremer Germany View profile →
Citations per field, relative to Paola Borgiani
Paola Borgiani · 1×
Citations per year, relative to Paola Borgiani
Paola Borgiani · 1×

Countries citing papers authored by Paola Borgiani

Since Specialization
Citations

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

Fields of papers citing papers by Paola Borgiani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paola Borgiani

This figure shows the co-authorship network connecting the top 25 collaborators of Paola Borgiani. A scholar is included among the top collaborators of Paola Borgiani 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 Paola Borgiani. Paola Borgiani 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
# Work Indexed citations
1 0
2 4
3 3
4 1
5 0
6 1
7 17
8 14
9 15
10
The differential response to anti IL-6 treatment in COVID-19: the genetic counterpart.
7
11 60
12 84
13 11
14 51
15 20
16 38
17 7
18
Association of the ACP1 genotype with metabolic parameters upon initial diagnosis of type 1 diabetes.
5
19
RH blood groups and diabetic disorders: is there an effect on glycosylated hemoglobin level?
11
20 1

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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