Bianca Papotti

48 total papers · 542 total citations
32 papers, 369 citations indexed

About

Bianca Papotti is a scholar working on Surgery, Immunology and Rheumatology. According to data from OpenAlex, Bianca Papotti has authored 32 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Surgery, 8 papers in Immunology and 7 papers in Rheumatology. Recurrent topics in Bianca Papotti's work include Lipoproteins and Cardiovascular Health (14 papers), Cholesterol and Lipid Metabolism (10 papers) and Systemic Lupus Erythematosus Research (7 papers). Bianca Papotti is often cited by papers focused on Lipoproteins and Cardiovascular Health (14 papers), Cholesterol and Lipid Metabolism (10 papers) and Systemic Lupus Erythematosus Research (7 papers). Bianca Papotti collaborates with scholars based in Italy, United States and Germany. Bianca Papotti's co-authors include Francesca Zimetti, Maria Pia Adorni, Nicoletta Ronda, Jarrod A. Marto, Haoyang Zhou, Alex F. Chen, Yevgenia Tesmenitsky, Mark W. Feinberg, Viorel Simion and Daniel Pérez‐Cremades and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and International Journal of Molecular Sciences.

In The Last Decade

Bianca Papotti

28 papers receiving 366 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Bianca Papotti 156 114 88 69 45 32 369
Hui‐Li Lin 167 1.1× 50 0.4× 83 0.9× 59 0.9× 74 1.6× 28 422
Xiaofei Feng 214 1.4× 70 0.6× 53 0.6× 63 0.9× 58 1.3× 31 446
Yongquan Pan 137 0.9× 73 0.6× 95 1.1× 96 1.4× 32 0.7× 24 413
I. Filipović 196 1.3× 62 0.5× 102 1.2× 58 0.8× 48 1.1× 29 388
Darko Černe 143 0.9× 121 1.1× 96 1.1× 39 0.6× 26 0.6× 35 424
Quanzhong Li 139 0.9× 50 0.4× 106 1.2× 70 1.0× 34 0.8× 27 384
Yan Lou 144 0.9× 56 0.5× 124 1.4× 27 0.4× 28 0.6× 29 435
Fuzhe Ma 209 1.3× 109 1.0× 33 0.4× 41 0.6× 30 0.7× 25 421
Mohsen Khosravi 104 0.7× 59 0.5× 70 0.8× 56 0.8× 45 1.0× 26 373
Ning Huangfu 245 1.6× 141 1.2× 56 0.6× 88 1.3× 18 0.4× 26 446

Countries citing papers authored by Bianca Papotti

Since Specialization
Citations

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

Fields of papers citing papers by Bianca Papotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bianca Papotti

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

All Works

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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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