Eylan Yutuc

1.5k citations
28 papers · 731 · h-index 16

Impact in

  • Surgery top 10%
    • Cholesterol and Lipid Metabolism
    • Metabolomics and Mass Spectrometry Studies
    • Peroxisome Proliferator-Activated Receptors
    • Sphingolipid Metabolism and Signaling
    • Steroid Chemistry and Biochemistry

Papers in

    • Cholesterol and Lipid Metabolism 25
    • Peroxisome Proliferator-Activated Receptors 9
    • Steroid Chemistry and Biochemistry 4
    • Sphingolipid Metabolism and Signaling 3
    • Metabolomics and Mass Spectrometry Studies 3

Eylan Yutuc

28 papers receiving 719 citations

Peers

Eylan Yutuc
Comparison fields: 5 of 69
  • Surgery 377
  • Molecular Biology 428
  • Oncology 141
  • Biochemistry 40
  • Spectroscopy 93
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Eylan Yutuc relative to Jay Liu United States Jay Liu's profile →
Citations per field
00.5×10×13.3×
Jay Liu · 1×
Citations per year

Countries citing papers authored by Eylan Yutuc

Since Specialization
Citations

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

Fields of papers citing papers by Eylan Yutuc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016117
2 202067
3 201563
4 202148
5 201644
6 202144
7 201937
8 201735
9 201932
10 201830
11 201825
12 201824
13 202023
14 202021
15 202115
16 201715
17 202013
18 201913
19 202112
20 201812

About Eylan Yutuc

Eylan Yutuc is a scholar working on Surgery, Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism and Spectroscopy, having authored 28 papers that have together received 731 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (25 papers), Drug Transport and Resistance Mechanisms (18 papers), Peroxisome Proliferator-Activated Receptors (9 papers), Hormonal Regulation and Hypertension (4 papers), Steroid Chemistry and Biochemistry (4 papers), Sphingolipid Metabolism and Signaling (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Surgery (377 citations), Molecular Biology (428 citations), Oncology (141 citations), Biochemistry (40 citations) and Spectroscopy (93 citations). Eylan Yutuc has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include William J. Griffiths, Yuqin Wang, Jonas Abdel‐Khalik, Peter J. Crick, Tom Hearn, Jan-Ακε Gustafsson, Margaret Warner, Gustavo C. Román, Alwena H. Morgan and Kevin Talbot. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, Journal of Lipid Research, Free Radical Biology and Medicine, Chemistry and Physics of Lipids and Analytical 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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