Gian Mario Cherchi

28 total papers · 883 total citations
23 papers, 700 citations indexed

About

Gian Mario Cherchi is a scholar working on Molecular Biology, Cell Biology and Rheumatology. According to data from OpenAlex, Gian Mario Cherchi has authored 23 papers receiving a total of 700 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cell Biology and 4 papers in Rheumatology. Recurrent topics in Gian Mario Cherchi's work include Proteoglycans and glycosaminoglycans research (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Glycosylation and Glycoproteins Research (3 papers). Gian Mario Cherchi is often cited by papers focused on Proteoglycans and glycosaminoglycans research (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers) and Glycosylation and Glycoproteins Research (3 papers). Gian Mario Cherchi collaborates with scholars based in Italy, United States and France. Gian Mario Cherchi's co-authors include Marilena Formato, Margherita Maioli, Antonio Junior Lepedda, Angelo M. Scanu, A. Pacifico, Marco Maggioni, Giancarlo Tonolo, Antonio Cigliano, Rita Spirito and Celina Edelstein and has published in prestigious journals such as Journal of Biological Chemistry, Arteriosclerosis Thrombosis and Vascular Biology and Clinical Chemistry.

In The Last Decade

Gian Mario Cherchi

23 papers receiving 675 citations

Author Peers

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

Author						Papers	Cites
Gian Mario Cherchi	172	124	103	100	95	23	700
Joel Thompson	364 2.1×	247 2.0×	128 1.2×	88 0.9×	131 1.4×	33	875
Meghna Alimchandani	79 0.5×	168 1.4×	70 0.7×	52 0.5×	65 0.7×	22	620
Jiřı́ Vácha	211 1.2×	67 0.5×	51 0.5×	34 0.3×	106 1.1×	39	875
Chand Sultana	198 1.2×	75 0.6×	63 0.6×	55 0.6×	20 0.2×	21	654
Shripad Sinari	405 2.4×	108 0.9×	78 0.8×	41 0.4×	62 0.7×	22	886
Z Zawadzki	257 1.5×	215 1.7×	87 0.8×	30 0.3×	119 1.3×	39	846
James McKenney	140 0.8×	135 1.1×	23 0.2×	124 1.2×	45 0.5×	17	651
Herbert Lau	127 0.7×	281 2.3×	65 0.6×	60 0.6×	36 0.4×	37	848
Dalia El‐Gamal	233 1.4×	187 1.5×	77 0.7×	20 0.2×	228 2.4×	30	753
Evan L. Dvorin	224 1.3×	228 1.8×	65 0.6×	43 0.4×	96 1.0×	12	682

Countries citing papers authored by Gian Mario Cherchi

Since Specialization

Citations

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

Fields of papers citing papers by Gian Mario Cherchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gian Mario Cherchi. 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 Gian Mario Cherchi. The network helps show where Gian Mario Cherchi may publish in the future.

Co-authorship network of co-authors of Gian Mario Cherchi

This figure shows the co-authorship network connecting the top 25 collaborators of Gian Mario Cherchi. A scholar is included among the top collaborators of Gian Mario Cherchi 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 Gian Mario Cherchi. Gian Mario Cherchi 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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