Stéphanie Eid

33 papers receiving 1.2k citations

Hit Papers

New perspectives in diabetic neuropathy 2023 · 107 citations
1072019202620212023100200300

Peers

Stéphanie Eid
Comparison fields: 5 of 110
  • Endocrinology, Diabetes and Metabolism 246
  • Physiology 351
  • Biochemistry 87
  • Neurology 96
  • Reproductive Medicine 95
Replace Karla B Neves with:
Karla B Neves United Kingdom
Tomoko Asagami United States
Jian‐Xiong Chen United States
Yukichi Okuda Japan
Dominique Détaille France
Niels Korsgaard Denmark
Ricardo Rodríguez‐Calvo Spain
Yuliya Mikhed Germany
Luigi Mattiello Italy
Kuniharu Matsuno Japan
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Citations per year

Countries citing papers authored by Stéphanie Eid

Since Specialization
Citations

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

Fields of papers citing papers by Stéphanie Eid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1
New insights into the mechanisms of diabetic complications: role of lipids and lipid metabolism
Hit paper breakdown →
2019331
2
New perspectives in diabetic neuropathy
Hit paper breakdown →
2023107
3 198190
4 201577
5 201658
6 201953
7 201351
8 201841
9 202035
10 201934
11 202133
12 201832
13
Involvement of renal cytochromes P450 and arachidonic acid metabolites in diabetic nephropathy.
201331
14 201429
15 201928
16 202225
17 202024
18 201822
19 201921
20 202216

About Stéphanie Eid

Stéphanie Eid is a scholar working on Biochemistry, Physiology, Neurology, Endocrinology, Diabetes and Metabolism and Pharmacology, having authored 34 papers that have together received 1.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (9 papers), Pain Mechanisms and Treatments (8 papers), Nerve injury and regeneration (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Pancreatic function and diabetes (3 papers) and Pharmacogenetics and Drug Metabolism (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (246 citations), Physiology (351 citations), Biochemistry (87 citations), Neurology (96 citations) and Reproductive Medicine (95 citations). Stéphanie Eid has collaborated with scholars based in United States, Lebanon and France. Frequent co-authors include Eva L. Feldman, Subramaniam Pennathur, Steven F. Abcouwer, Thomas W. Gardner, Patrice E. Fort, Kelli M. Sas, Assaad A. Eid, Junguk Hur, Michael E. Nesheim and Kenneth G. Mann. Their work appears in journals such as Disease Models & Mechanisms, Diabetes, The FASEB Journal, Scientific Reports and Antioxidants and Redox Signaling.

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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