Gemma Gianfranceschi

770 citations
18 papers · 635 indexed · h-index 14

Impact in

Papers in

Gemma Gianfranceschi

18 papers receiving 588 citations

Peers

Gemma Gianfranceschi
Comparison fields: 5 of 70
  • Endocrinology, Diabetes and Metabolism 318
  • Biochemistry 53
  • Surgery 320
  • Cardiology and Cardiovascular Medicine 141
  • Cancer Research 86
Replace Masaharu Kubo with:
Masaharu Kubo Japan
Peter Röschlau United States
J D Morrisett United States
P. Weisweiler Germany
A. Gustafson Sweden
L A Zech United States
H B Brewer United States
Chikayuki NAITO Japan
P Douste‐Blazy France
D S Fredrickson United States
Gemma Gianfranceschi relative to Masaharu Kubo Japan Masaharu Kubo's profile →
Citations per field
00.5×1.7×
Masaharu Kubo · 1×
Citations per year

Countries citing papers authored by Gemma Gianfranceschi

Since Specialization
Citations

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

Fields of papers citing papers by Gemma Gianfranceschi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 199510
2 199529
3 1995168
4 199352
5 199336
6 199244
7 199122
8 199013
9 198922
10 198820
11 198521
12 198458
13 19839
14 198228
15 198129
16 19814
17 198138
18 197932

About Gemma Gianfranceschi

Gemma Gianfranceschi is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry, Cardiology and Cardiovascular Medicine, Analytical Chemistry and Surgery, having authored 18 papers that have together received 635 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Lipid metabolism and disorders (4 papers), Chronic Lymphocytic Leukemia Research (2 papers), Pharmacology and Obesity Treatment (2 papers), Lipid metabolism and biosynthesis (2 papers), Hormonal and reproductive studies (2 papers) and Fatty Acid Research and Health (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (318 citations), Biochemistry (53 citations), Surgery (320 citations), Cardiology and Cardiovascular Medicine (141 citations) and Cancer Research (86 citations). Gemma Gianfranceschi has collaborated with scholars based in Italy and United States. Frequent co-authors include Cesare R. Sirtori, Guido Franceschini, Silvia Michelagnoli, Laura Calabresi, Franco Pazzucconi, M Sirtori, Renato Longhi, Toru Murakami, José Pablo Werba and Viola Vaccarino. Their work appears in journals such as Atherosclerosis, Metabolism, Journal of Cardiovascular Pharmacology, Clinical Pharmacology & Therapeutics and Arteriosclerosis Thrombosis and Vascular Biology.

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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