Davide Cossu

1.6k citations
67 papers · 1.1k · h-index 21

Impact in

    • Pharmacological Effects of Natural Compounds
    • Mycobacterium research and diagnosis

Papers in

    • Mycobacterium research and diagnosis 31
    • Immune Cell Function and Interaction 14
    • T-cell and B-cell Immunology 6
    • Immunodeficiency and Autoimmune Disorders 6

Davide Cossu

63 papers receiving 1.1k citations

Peers

Davide Cossu
Comparison fields: 5 of 70
  • Pharmacology 212
  • Epidemiology 555
  • Immunology 317
  • Pathology and Forensic Medicine 172
  • Infectious Diseases 117
Replace Taku Kuwabara with:
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Shabbir Hussain Pakistan
Uwe Wendling Germany
Andrea J. Lengi United States
Julie Clayton United States
Yinong Duan China
Zhaoxia Li China
Heidrun Recheis Austria
Beth Levine United States
Shanjin Cao United States
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Citations per field
00.5×8.8×
Taku Kuwabara · 1×
Citations per year

Countries citing papers authored by Davide Cossu

Since Specialization
Citations

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

Fields of papers citing papers by Davide Cossu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Davide Cossu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Davide Cossu Line = papers co-authored together Davide Cossu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201177
2 201154
3 201450
4 201747
5 201142
6 201436
7 201335
8 201833
9 201331
10 201529
11 201229
12 201327
13 201425
14 201524
15 201324
16 201424
17 201524
18 202123
19 201323
20 201321

About Davide Cossu

Davide Cossu is a scholar working on Epidemiology, Immunology, Pharmacology, Pathology and Forensic Medicine and Molecular Biology, having authored 67 papers that have together received 1.1k indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (31 papers), Immune Cell Function and Interaction (14 papers), Pharmacological Effects of Natural Compounds (12 papers), Multiple Sclerosis Research Studies (8 papers), T-cell and B-cell Immunology (6 papers), Helicobacter pylori-related gastroenterology studies (6 papers), Immunodeficiency and Autoimmune Disorders (6 papers) and Diabetes and associated disorders (5 papers). The work is most often cited by research in Pharmacology (212 citations), Epidemiology (555 citations), Immunology (317 citations), Pathology and Forensic Medicine (172 citations) and Infectious Diseases (117 citations). Davide Cossu has collaborated with scholars based in Italy, Japan and United States. Frequent co-authors include Leonardo A. Sechi, Speranza Masala, Nobutaka Hattori, Maria Giovanna Marrosu, Jessica Frau, Eleonora Cocco, Kazumasa Yokoyama, Giuseppe Mameli, Daniela Paccagnini and A. Pacifico. Their work appears in journals such as Journal of Neuroimmunology, PLoS ONE, International Journal of Molecular Sciences, Frontiers in Immunology and Journal of the Neurological Sciences.

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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