Michela Sica

54 total papers · 1.3k total citations
32 papers, 888 citations indexed

About

Michela Sica is a scholar working on Immunology, Hematology and Nephrology. According to data from OpenAlex, Michela Sica has authored 32 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Immunology, 10 papers in Hematology and 9 papers in Nephrology. Recurrent topics in Michela Sica's work include Complement system in diseases (18 papers), Renal Diseases and Glomerulopathies (9 papers) and Immune Cell Function and Interaction (7 papers). Michela Sica is often cited by papers focused on Complement system in diseases (18 papers), Renal Diseases and Glomerulopathies (9 papers) and Immune Cell Function and Interaction (7 papers). Michela Sica collaborates with scholars based in Italy, United States and United Kingdom. Michela Sica's co-authors include Rosario Notaro, Antonio M. Risitano, Patrizia Ricci, Giuseppe Terrazzano, Maria De Angioletti, Caterina Pascariello, Luigi Del Vecchio, Lucio Luzzatto, Régis Peffault de Latour and Giuseppina Ruggiero and has published in prestigious journals such as Blood, The Journal of Immunology and Frontiers in Immunology.

In The Last Decade

Michela Sica

31 papers receiving 872 citations

Author Peers

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

Author Last Decade Papers Cites
Michela Sica 622 331 284 137 114 32 888
Sara C. Nilsson 726 1.2× 309 0.9× 319 1.1× 73 0.5× 46 0.4× 28 935
Barbara Uzonyi 741 1.2× 334 1.0× 311 1.1× 96 0.7× 39 0.3× 32 927
Jennifer L. McRae 597 1.0× 183 0.6× 281 1.0× 66 0.5× 158 1.4× 27 977
Kenneth Douglas 460 0.7× 422 1.3× 234 0.8× 115 0.8× 81 0.7× 23 882
Isabel Y. Pappworth 703 1.1× 284 0.9× 350 1.2× 62 0.5× 77 0.7× 25 789
Kana Mizuno 554 0.9× 167 0.5× 209 0.7× 73 0.5× 66 0.6× 45 1.0k
Roger E Spitzer 445 0.7× 226 0.7× 195 0.7× 189 1.4× 20 0.2× 50 733
Dineke Westra 448 0.7× 198 0.6× 311 1.1× 69 0.5× 86 0.8× 43 721
Marienn Réti 564 0.9× 331 1.0× 224 0.8× 202 1.5× 19 0.2× 57 874
Sophie Chauvet 491 0.8× 275 0.8× 525 1.8× 148 1.1× 29 0.3× 39 856

Countries citing papers authored by Michela Sica

Since Specialization
Citations

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

Fields of papers citing papers by Michela Sica

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michela Sica

This figure shows the co-authorship network connecting the top 25 collaborators of Michela Sica. A scholar is included among the top collaborators of Michela Sica 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 Michela Sica. Michela Sica 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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