Daniela Ligi

40 papers receiving 884 citations

Peers

Daniela Ligi
Comparison fields: 5 of 104
  • Internal Medicine 196
  • Rehabilitation 173
  • Occupational Therapy 69
  • Endocrinology, Diabetes and Metabolism 141
  • Surgery 364
Replace Dominique Stéphan with:
Dominique Stéphan France
Yumi Kuninaka Japan
D. Bouchier-Hayes Ireland
Mark Regan Ireland
G Wolf Germany
S M Cohn United States
Manuel Salzmann Austria
S Vig United Kingdom
Tao You China
Junho Ahn United States
Daniela Ligi relative to Dominique Stéphan France Dominique Stéphan's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniela Ligi

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Ligi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniela Ligi, 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 Daniela Ligi Line = papers co-authored together Daniela Ligi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020158
2 201360
3 201450
4 202050
5 201647
6 202044
7 201643
8 201442
9
Glycosaminoglycan sulodexide modulates inflammatory pathways in chronic venous disease.
201442
10 201336
11 201633
12 201523
13 201822
14 201322
15 201721
16 202220
17 202020
18 201819
19
Iron-binding proteins and C-reactive protein in Nipple Aspirate Fluids: role of Iron-driven inflammation in breast cancer microenvironment?
201016
20 202115

About Daniela Ligi

Daniela Ligi is a scholar working on Surgery, Molecular Biology, Internal Medicine, Immunology and Cancer Research, having authored 41 papers that have together received 917 indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (11 papers), Diagnosis and Treatment of Venous Diseases (11 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (6 papers), Cell Adhesion Molecules Research (6 papers), Protease and Inhibitor Mechanisms (6 papers), Wound Healing and Treatments (4 papers), COVID-19 Clinical Research Studies (3 papers) and Sepsis Diagnosis and Treatment (3 papers). The work is most often cited by research in Internal Medicine (196 citations), Rehabilitation (173 citations), Occupational Therapy (69 citations), Endocrinology, Diabetes and Metabolism (141 citations) and Surgery (364 citations). Daniela Ligi has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Ferdinando Mannello, J.D. Raffetto, Rosanna Maniscalco, Matteo Canale, Raouf A. Khalil, Giovanni Mosti, Rosaria Vincenza Giglio, Virginia Medda, Marcello Ciaccio and Bruna Lo Sasso. Their work appears in journals such as Clinical Chemistry and Laboratory Medicine (CCLM), Journal of Clinical Medicine, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Journal of Vascular Surgery Venous and Lymphatic Disorders and Journal of Inorganic Biochemistry.

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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