S. Paniga

415 citations
7 papers · 355 · h-index 6

Impact in

Papers in

    • Metabolism, Diabetes, and Cancer 3
    • Receptor Mechanisms and Signaling 1
    • Blood Coagulation and Thrombosis Mechanisms 3

S. Paniga

7 papers receiving 339 citations

Peers

S. Paniga
Comparison fields: 5 of 64
  • Endocrinology, Diabetes and Metabolism 136
  • Cancer Research 91
  • Cardiology and Cardiovascular Medicine 90
  • Hematology 36
  • Molecular Biology 127
Replace Eleonora Devangelio with:
Eleonora Devangelio Italy
M. Sai Babu India
Jessica Smith United Kingdom
Barbara Ruszkowska-Ciastek Poland
Katsumi Nakagawa Japan
Andrzej Kułach Poland
Olaf Herkert Germany
Alexandros X. Kortsaris Greece
A.K.M. Tarikuz Zaman United States
Grasiele Sausen United States
S. Paniga relative to Eleonora Devangelio Italy Eleonora Devangelio's profile →
Citations per field
00.5×1.6×
Eleonora Devangelio · 1×
Citations per year

Countries citing papers authored by S. Paniga

Since Specialization
Citations

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

Fields of papers citing papers by S. Paniga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside S. Paniga, 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 S. Paniga Line = papers co-authored together S. Paniga links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2006111
2 2007110
3 200672
4 200737
5 200618
6 20066
7 20061

About S. Paniga

S. Paniga is a scholar working on Molecular Biology, Hematology, Endocrinology, Diabetes and Metabolism, Cancer Research and Surgery, having authored 7 papers that have together received 355 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Protease and Inhibitor Mechanisms (3 papers), Lipoproteins and Cardiovascular Health (2 papers), Diabetes Treatment and Management (2 papers), Adipokines, Inflammation, and Metabolic Diseases (1 paper) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (136 citations), Cancer Research (91 citations), Cardiology and Cardiovascular Medicine (90 citations), Hematology (36 citations) and Molecular Biology (127 citations). S. Paniga has collaborated with scholars based in Italy. Frequent co-authors include Angela D’Angelo, Arrigo F.G. Cicero, Giuseppe Derosa, Leonardina Ciccarelli, Sibilla Salvadeo, Lorenza Montagna, Carmine Tinelli, Alessia Gravina, F. Pricolo and Mario N. Piccinni. Their work appears in journals such as Diabetes & Metabolism, Journal of Cardiovascular Pharmacology, Endothelium, Journal of Clinical Pharmacy and Therapeutics and High Blood Pressure & Cardiovascular Prevention.

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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