Greta Pacini

48 total papers · 851 total citations
24 papers, 616 citations indexed

About

Greta Pacini is a scholar working on Pathology and Forensic Medicine, Rheumatology and Epidemiology. According to data from OpenAlex, Greta Pacini has authored 24 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pathology and Forensic Medicine, 8 papers in Rheumatology and 6 papers in Epidemiology. Recurrent topics in Greta Pacini's work include Systemic Sclerosis and Related Diseases (10 papers), Systemic Lupus Erythematosus Research (4 papers) and Inflammatory Myopathies and Dermatomyositis (3 papers). Greta Pacini is often cited by papers focused on Systemic Sclerosis and Related Diseases (10 papers), Systemic Lupus Erythematosus Research (4 papers) and Inflammatory Myopathies and Dermatomyositis (3 papers). Greta Pacini collaborates with scholars based in Italy, Belgium and Switzerland. Greta Pacini's co-authors include Maurizio Cutolo, Vanessa Smith, Sabrina Paolino, Massimo Patanè, Elisa Alessandri, Stefano Soldano, Samuele Tardito, Giulia Martinelli, Carmen Pizzorni and Emanuele Gotelli and has published in prestigious journals such as Diabetologia, Annals of the Rheumatic Diseases and Nutrients.

In The Last Decade

Greta Pacini

24 papers receiving 610 citations

Hit Papers

Macrophage M1/M2 polariza... 2019 2026 2021 2023 2019 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Greta Pacini 192 183 170 103 85 24 616
C. S. Seitz 160 0.8× 202 1.1× 143 0.8× 162 1.6× 53 0.6× 22 597
Ágnes Gyetvai 255 1.3× 140 0.8× 221 1.3× 82 0.8× 35 0.4× 23 684
Massimo Patanè 147 0.8× 180 1.0× 140 0.8× 108 1.0× 51 0.6× 20 505
Eduardo Gómez-Bañuelos 284 1.5× 87 0.5× 188 1.1× 69 0.7× 38 0.4× 33 548
Yumi Matsumura 105 0.5× 67 0.4× 250 1.5× 70 0.7× 74 0.9× 30 618
Cristina Croia 196 1.0× 123 0.7× 289 1.7× 82 0.8× 137 1.6× 20 635
H.-Y. Kim 230 1.2× 165 0.9× 240 1.4× 47 0.5× 25 0.3× 23 672
Mario Jiménez-Hernández 234 1.2× 89 0.5× 120 0.7× 60 0.6× 39 0.5× 27 604
V. Modena 279 1.5× 111 0.6× 182 1.1× 101 1.0× 35 0.4× 28 679
Loes Linsen 71 0.4× 108 0.6× 245 1.4× 73 0.7× 56 0.7× 27 565

Countries citing papers authored by Greta Pacini

Since Specialization
Citations

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

Fields of papers citing papers by Greta Pacini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Greta Pacini

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