Eleni E. Zanni

662 citations
15 papers · 519 · h-index 11

Impact in

Papers in

Eleni E. Zanni

15 papers receiving 505 citations

Peers

Eleni E. Zanni
Comparison fields: 5 of 63
  • Endocrinology, Diabetes and Metabolism 148
  • Biochemistry 45
  • Physiology 129
  • Surgery 167
  • Cancer Research 56
Replace Teruhiko Matsushima with:
Teruhiko Matsushima Japan
Jeltje R. Goudriaan Netherlands
T. Shirotani Japan
Akanuma Yasuo Japan
Neelam Srivastava United States
J G DeLamatre United States
M.M. McGrane United States
Sandra Slusher United States
Gabriela Suchánková United States
Jean‐Paul Riou France
Eleni E. Zanni relative to Teruhiko Matsushima Japan Teruhiko Matsushima's profile →
Citations per field
00.5×1.6×
Teruhiko Matsushima · 1×
Citations per year

Countries citing papers authored by Eleni E. Zanni

Since Specialization
Citations

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

Fields of papers citing papers by Eleni E. Zanni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eleni E. Zanni. 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 Eleni E. Zanni. The network helps show where Eleni E. Zanni may publish in the future.

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 200169
2 197966
3 199361
4 200460
5 198759
6 200347
7 198941
8 199532
9 198926
10 200822
11 199219
12 19918
13 19944
14 19863
15 19912

About Eleni E. Zanni

Eleni E. Zanni is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cancer Research, Surgery and Nutrition and Dietetics, having authored 15 papers that have together received 519 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Glycosylation and Glycoproteins Research (2 papers), Fatty Acid Research and Health (2 papers), Lipid metabolism and biosynthesis (2 papers), Lipoproteins and Cardiovascular Health (2 papers) and Cholesterol and Lipid Metabolism (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (148 citations), Biochemistry (45 citations), Physiology (129 citations), Surgery (167 citations) and Cancer Research (56 citations). Eleni E. Zanni has collaborated with scholars based in United States, Greece and Bulgaria. Frequent co-authors include Vassilis I. Zannis, Dimitris Kardassis, Kyriakos E. Kypreos, Horng-Yuan Kan, Doris Howes Calloway, Aristeidis Κritis, Conrad B. Blum, Xiaoping Li, Peter N. Herbert and Jan L. Breslow. Their work appears in journals such as Current Opinion in Lipidology, Journal of Nutrition, Biochemistry, Annals of Medicine and Journal of Biological Chemistry.

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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