Net Daş-Evcimen

15 papers receiving 612 citations

Peers

Net Daş-Evcimen
Comparison fields: 5 of 80
  • Clinical Biochemistry 90
  • Endocrinology, Diabetes and Metabolism 117
  • Ophthalmology 59
  • Biochemistry 34
  • Cell Biology 74
Replace Chandrashekhar D. Kamat with:
Chandrashekhar D. Kamat United States
Eui Seok Shin South Korea
Peter F. Kador United States
Rosa Maisto Italy
Mona F. El-Azab Egypt
Tomoko Matsuo Japan
Soledad Miranda Chile
Nihat Dilsiz Türkiye
Riyaz Mohamed United States
María L. Rodríguez Spain
Net Daş-Evcimen relative to Chandrashekhar D. Kamat United States Chandrashekhar D. Kamat's profile →
Citations per field
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Chandrashekhar D. Kamat · 1×
Citations per year

Countries citing papers authored by Net Daş-Evcimen

Since Specialization
Citations

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

Fields of papers citing papers by Net Daş-Evcimen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Net Daş-Evcimen. 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 Net Daş-Evcimen. The network helps show where Net Daş-Evcimen may publish in the future.

Co-authors

The 24 scholars most cited alongside Net Daş-Evcimen, 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 Net Daş-Evcimen Line = papers co-authored together Net Daş-Evcimen links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2007390
2 200266
3 200843
4 200834
5
In vivo treatment with stobadine prevents lipid peroxidation, protein glycation and calcium overload but does not ameliorate Ca 2+ -ATPase activity in heart and liver of streptozotocin-diabetic rats: comparison with vitamin E The ADIC (Antioxidants in Diabetes-Induced Complications) Study Group
200223
6 201717
7 200715
8 200810
9 20108
10 20187
11 20097
12 20156
13 20075
14 20134
15 20101

About Net Daş-Evcimen

Net Daş-Evcimen is a scholar working on Cell Biology, Endocrinology, Diabetes and Metabolism, Molecular Biology, Physiology and Pharmacology, having authored 15 papers that have together received 636 indexed citations. Recurring topics across this work include Aldose Reductase and Taurine (9 papers), Polyamine Metabolism and Applications (4 papers), Biochemical effects in animals (3 papers), Diet, Metabolism, and Disease (3 papers), Natural Antidiabetic Agents Studies (3 papers), Cannabis and Cannabinoid Research (3 papers), Phytochemicals and Antioxidant Activities (2 papers) and Chronic Kidney Disease and Diabetes (2 papers). The work is most often cited by research in Clinical Biochemistry (90 citations), Endocrinology, Diabetes and Metabolism (117 citations), Ophthalmology (59 citations), Biochemistry (34 citations) and Cell Biology (74 citations). Net Daş-Evcimen has collaborated with scholars based in Türkiye, United States and Germany. Frequent co-authors include Gerard King, Oya Bozdağ‐Dündar, Rahmiye Ertan, Milan Štefek, Çi̇men Karasu, Fügen Aktan, Svorad Štolc, Nuriye Nuray Ulusu, Síbel Süzen and Katrin Bauer. Their work appears in journals such as Medicinal Chemistry Research, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Journal of Enzyme Inhibition and Medicinal Chemistry, European Journal of Medicinal Chemistry and Pharmacological Research.

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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